Speech-to-Text Transcription in Support of Pervasive Computing
|
|
- Pearl Goodman
- 8 years ago
- Views:
Transcription
1 Speech-to-Text Transcription in Support of Pervasive Computing Jarrah Sladek, Andrew Zschorn and Ahmad Hashemi-Sakhtsari Human Systems Integration Group Command and Control Division Defence Science Technology Organisation PO Box 1500, Adelaide 5111, South Australia {Jarrah.Sladek, Andrew.Zschorn, Abstract Speech recognition technology can help transcribe discussions, interviews, meetings, and conversations. This paper describes a concept demonstrator of an automatic speech-to-text transcriber that uses speech recognition. It is defined in terms of motivation for the product, how users operate it, and its similarities and differences with other work being carried out in other research and commercial bodies. Keywords: meeting capture tools, continuous speech recogniser, COTS software, speaker dependence, CSCW, time stamping, utterance. 1 Introduction Speech recognition is among a myriad of tools that can be used to create a computer system that is pervasively and unobtrusively embedded in a human environment. This paper describes a concept demonstrator called Automatic Transcriber of Meetings (AuTM) that uses speech recognition. The main aim of the AuTM prototype is to demonstrate the creation and retrieval of transcriptions that are associated with collaborative efforts such as meetings and interviews. Landay et al (1999) claims that as a variety of low cost note taking devices becomes pervasive, shared notes can help work groups communicate ideas and information. Outline This paper starts with AuTM system overview, focusing on the core functions that have currently been developed. Section 3 describes work carried out by other research organisations, followed by Section 4 that outlines relevant commercial product development. 2 AuTM Overview The overall goal of the AuTM project is to develop a concept demonstrator of a system that automatically transcribes the speech of collaborative events such as meetings or interviews. It uses a commercial off-the-shelf (COTS) speech recogniser known as Dragon NaturallySpeaking (NS) to convert the speech to text. NS is a Microsoft Windowsbased, large vocabulary, speaker-dependent, continuous speech recogniser. As NS is speaker-dependent; users are required to spend time training it to their voices before they can use it. This also means that NS is, in its default state, unsuitable for transcription where there are multiple speakers. To overcome this problem, AuTM requires that each speaker have a separate instantiation of NS. The utterances of separately running copies of NS are collated and coordinated over TCP/IP connections, using server and client programs. The AuTM system allows live development of the transcription to be visible to each speaker in a meeting. The server and client programs also provide extra functions, which allow producing a minutes -style transcript of a meeting. The meeting facilitator, through using the server program, performs the following functions: using the agenda and annotating transcripts with highlights such as action items and motion details, and summarising the meeting. AuTM makes audio recordings of the speaker s speech using head-worn noise-cancelling microphones. This enables correction of recognition errors by revision of the text transcript session, by matching the text with the corresponding audio. Once the transcript has been corrected, it can be saved as a HTML or Microsoft Word document. This transcript includes the text of each utterance, the name of the speaker who spoke it and timestamps indicating when they started and finished speaking it. The purpose of the time stamped utterances is to accurately record who said what and when in a meeting transcript. It is possible to keep the audio files on a web server, with the transcript, so that they can also be downloaded and played. 3 Other Research Activities The research work that relates to AuTM lies in three main areas: computerised meeting room systems, multimedia meeting capture tools, and personal note taking applications. 3.1 Computerised Meeting Room Systems Previous work outlined by Zschorn et al (2002) has indicated there are at least three projects related to AuTM, which are also very similar to each other. These are being conducted at: BBN Technologies (Colbath et al, 1998),
2 International Computer Science Institute (ICSI) Berkeley University (Janin 2001, Morgan et al 2001), and Interactive Systems Laboratory (ISL) Carnegie Mellon (Waibel et al 1998, 2001; Yu et al 1998, 1999 and 2000; Gross et al 2000). While these projects are all very similar to each other in their approach, they differ significantly from AuTM s approach. Each project uses speaker-independent speech recognisers that were initially developed for slightly different purposes and then adapted and optimised for the meeting case, to recognise the speech of all speakers. This is the most significant difference between these projects and AuTM, which uses multiple instances of a COTS speaker-dependent speech recogniser. The BBN, ICSI, and ISL projects take the approach of developing and optimising their own speaker-independent speech recogniser to capture utterances from all speakers. While this approach means they have far more control over the speech recogniser, these speech recognition systems are less powerful than NS. For instance, NS version six has a vocabulary of approximately 250,000 words (Scansoft 2002), while the speech recognisers used in the other projects have between 30,000 and 45,000 words (Yu et al 2000, Colbath et al 1998). This makes Out-of-Vocabulary (OOV) errors a major problem for the other projects. To help solve the OOV problem the ISL project (Yu et al 2000) uses the Web to obtain extra vocabulary for the speech recogniser. It would be of benefit to make each user responsible for vocabulary maintenance within the AuTM system. The BBN technologies (Colbath et al, 1998) and ISL (Waibel et al, 1998) projects have a strong emphasis on meeting browsers. These are applications used to navigate text, audio and video records of a meeting. The BBN meeting browser is particularly advanced, with timealigned automatic topic classification, and a search function. In contrast, AuTM produces simple HTML transcripts. The automated approach of the BBN and ISL systems contrasts with that of AuTM, which leaves the summarising to the moderator of the meeting. We assume that AuTM s approach is more accurate, but at the expense of operator time. Waibel et al (2001) mentions using the ISL system with speakers in remote locations. This is clearly where AuTM is heading in the near future, and a task to which it is particularly suited. Although it is not stated explicitly, the other three projects centre around a special meeting room, which is perhaps wired with microphones and computers. In contrast AuTM has a more mobile, distributable nature. Like AuTM, the ICSI project (Morgan et al 2001) uses head-worn microphones, although they also make recordings on lapel and desk microphones in the hope of introducing that less obtrusive technology in the future. ISL s system uses lapel microphones only (Yu et al 2000). Two problems brought about by using lapel or desk microphones and one speaker-dependent speech recogniser are, firstly, detecting a speaker-change, and then correctly identifying the new speaker. That is, because the speaker s speech is picked up by more than one audio channel, it is necessary to separate audio channels. These issues do not arise when using headworn noise-cancelling microphones, as is the case with AuTM. Another related research project is the MeetingManager work at Massachusetts Institute of Technology (MIT) (Oh et al 2001). It is part of their e21 and Oxygen projects. This project is focused on aiding the facilitator work and compiling summaries of meetings. The work centres on recording short movie clips of important sections of a meeting, rather than using a speech recogniser to put the discussion into text. The facilitator is responsible for identifying which parts of the discussion need to be recorded, and they can label and annotate those movie clips with text information using various methods, including speech recognition. The facilitator is responsible for formulating detailed agenda information. At the conclusion of the meeting this information is included with the movie clips into a database, which is capable of being queried by Structured Query Language (SQL). So, like AuTM, the MIT project is reliant on a human moderator to input intelligent highlighting and summaries of the discussion. The National Institute of Standards and Technology (NIST) in the United States is currently working on an Automatic Meeting Transcription system, which is looking at providing development and infrastructure for speech transcription in meetings. The infrastructure includes rich transcription, and a corpus of audio and video from meetings collected at NIST, using a variety of microphones and video cameras (NIST 2002). The goals of this project are very similar to the AuTM system, although the work is still in its initial stages. In particular, AuTM will benefit from the research and development of content processing technologies, such as text extraction and summarisation. The outcomes of this work could influence AuTM s future directions. Much work has been done on Electronic Meeting Systems (EMS) (Nunamaker et al 1991). These systems typically consist of personal computers linked together in special meeting rooms running custom software. The user interface for the meeting tools is based on text/keyboard input. The software often organises meetings by dividing proceedings into three phases: idea generation (brainstorming), organisation (grouping), and prioritisation (voting). The meeting software needs to be configured before the meeting starts. After the configuration is completed, participants are required to follow a predefined procedure and organisation of the group process. This allows less room for informal interactions and ways of capturing these interactions. No connection to a publicly available interactive workspace or display is supported. EMS has been shown to improve the quality of group decisions and the time needed to reach agreements (Nunamaker et al 1991). However, the hardware needed
3 to run these systems makes them prohibitively expensive and impractical to use in many settings. Furthermore, these systems may force the focus of meetings to document creation, redirect some of the group s attention to complex computer interfaces, or require participants to type during meetings, which can be disruptive (Landay et al 1999). AuTM was specifically designed without relying on custom hardware. That is, the system uses off-theshelf automatic speech recognisers (ASR) and normal PCs or laptops. Systems such as EMS are better suited for certain types of structured meetings, such as those focused on decision-making or idea generation. In contrast AuTM imposes less meeting structure and supports a wide variety of meeting styles. Xerox PARC has a long tradition of exploring the value of collaborative and pervasive computing tools for meeting capture (Stefik et al 1987, Pedersen et al 1993) and salvage of multimedia meeting records (Moran et al 1997). Unlike EMS tools, these tools support unstructured, sketched based interfaces, that are often pen-based and that try to simulate or improve on the capabilities of whiteboards found in most conference rooms. The motivation of such tools is to improve record keeping methods, without shifting the meeting focus or process. The Tivoli project (Pederson et al 1993) allows users to manipulate handwritten text in structured ways using a large electronic whiteboard, Xerox LiveBoard, as mentioned in Elrod et al (1992). Tivoli creates notes of meetings with correlated time-stamped audio, allowing participants to access the audio from the notes after the meeting (Moran et al 1997). The group notes of the meeting are formed through drawings on the Xerox liveboard, and typed text notes from a laptop. Drawbacks of the Tivoli system are that the user interface is quite complicated and non-intuitive. Similar to Tivoli, the Classroom 2000 system (Abowd et al 1996 and 1998) records classroom audio, presentation slides, LiveBoard notes, and provides ways to browse through them after the class. Ink based meeting capture tools such as Tivoli and Classroom 2000 raise serious questions about handwriting legibility, and possible solutions for method improvement such as handwriting recognition. It is clear that speech-to-text offers a more natural and easily used interface than handwritten text. DOLPHIN is another well-known collaboration system that has pioneered some of the early development on meeting capture (Streitz et al 1994). It allows computer support for different types of meetings: face-to-face meetings with the Xerox LiveBoard, and using computers connected via audio/video networks. The members of the group concurrently use their mouse and keyboard to interface with the software. DOPLHIN enables participants to create both informal and formal documents. The system is rather dated now, and there appears to be no further developments that are relevant to AuTM. Meeting rooms equipped with special equipment are expensive, so AuTM addresses the fundamental problems of other systems: cost and lack of ubiquity. The AuTM system can basically be used wherever a laptop and network connection exists, which in today s environment poses minimal restrictions. There are a number of advantages in using COTS software. It is freely accessible to users, available at a cheaper cost when purchasing in larger volumes, and readily integrated with other COTS products. 3.2 Multimedia Meeting Capture Systems Multimedia notes and records of meetings provide many benefits over traditional paper counterparts. A video recording of a meeting allows people to review a meeting that they have attended or to catch up on a meeting that they have missed (Chiu et al 1999). An example of a multimedia meeting capture system is LiteMinutes. The system assumes one person is taking the notes, and those notes are typed into an applet on a wireless laptop (Chiu et al 2001). After the meeting, the notes are parsed and a file with the slides and video correlated by the time to each note is ed to all participants. Users can revise the notes in their editors and send them back to the server, thus updating the notes displayed on a common web page. Notes, slides and video can also be accessed during a meeting for instant replays. Another multimedia meeting capture system is called NoteLook, which is a client server note taking system designed to run on tablet computers (Chiu et al 1999). Users can take ink notes, add thumbnail images, annotate video streams, place slides or images on the background of a page, and then view the note files created on a web page. An interesting feature is the ability to summarise notes, by taking snapshots regularly and capturing all slides viewed from all sources. 3.3 Personal Note Taking Systems Since typing can interfere with the group meeting, research into informal, personal note-taking systems has been conducted by various organisations. The Freestyle system allows handwritten notes and annotated documents to be shared using electronic mail (Levine et al 1991). These documents can then be read and manually arranged on the desktop computer of the recipient. There has also been research in portable, handwritten note taking and audio recording systems, such as NotesPal (Davis et al 1999) Filochat (Whittaker et al 1994) and Dynomite (Wilcox et al 1997). NotesPal is an inked based, collaborative note taking application that runs on Personal Digital Assistants (PDA s). Meeting participants write notes in their handwriting on a PDA. These notes are shared with other participants by synchronising later with a shared notes repository. NotesPal shares many characteristics in common with other personal note taking tools such as Dynomite and Audio Notebook (Stifelman 1996), which both rely on inked-based notes without handwriting recognition. As mentioned earlier it is assumed that typed notes would be more legible than hand written ink-based notes. Filochat and Dynomite are both pen-based note-taking systems that run on tablet-based computers. These systems also record the audio track of a meeting and automatically create an index to the audio from the
4 electronic ink. Thus, NotesPal, Filochat and Dynomite all provide tools for synchronising audio recordings with personal notes, in much the same way as AuTM does. However, all such personal note-taking tools outlined do not integrate speech-to-text for transcription of the notes. 4 Other Commercial Activities Dictaphone Corporation (2002) has produced a number of products that are based on the principle of distributive speech recognition with multi-user input stations (Kuhnen et al 1999). In particular ExSpeech (See Figure 1.1) is a system that involves a central dictation system including a central server computer and a plurality of voice input stations connected to the server computer. Furthermore, speaker recognition capabilities are provided at each voice input station, and any authorised user may use the station. The product features networked computers having either handheld microphones or headsets interfaced thereto and constitute dictation stations. The e- mail system of the computer network is used to transport voice files from the dictation stations to the transcription stations. In addition, the system may be used to forward dictation files into a central recorder, from which a transcription system can play back the dictation files. The idea of a number of distributed clients communicating to a central server is very similar to the AuTM prototype. It is unclear how the audio signals are converted over the network. Unlike the Dictaphone Enterprise Express server handles network traffic system outlined, AuTM does not incorporate document review work-stations (Kuhnen et al 1999) to carry out error correction duties. AuTM is considered to be far more portable in terms of error correction strategies and hardware components needed for operation. IBM Corporation is one such company that has invested heavily in the area of pervasive computing, and distributed speech recognition. The IBM Websphere Voice Server for Transcription (IBM, 2002) is a specialised speech recognition product that is aimed at software developers and services providers. According to IBM (2002) the product provides transcription (or deferred recognition) functions that can be integrated into a workflow or document management application. IBM (2002) also states that multiple users can dictate audio text from various locations and devices such as microphones, handheld recorders and telephones. The initial market segments that IBM have targeted focus on the transcription services for the medical and legal communities. The work being conducted by IBM has far more in common with Dictaphone Corporation products than AuTM. Speech recognition engine (EXSpeech) Voice input station Key Audio Transcribed and edited text file Raw Audio &text files Document review stations. Uses audio to correct recognition errors in the transcript. Figure 1.1 Example of EXSpeech (Adapted from Dictaphone Corporation, 2002)
5 Dictaphone and IBM make mention of their products being used in a ubiquitous manner similar to the AuTM system, however, their applications are not specifically designed for group meetings. Furthermore, AuTM provides the ability to annotate the record with functionality such as client/server messaging, and the creation of motion and action items. 5 Conclusions There are a number of research projects and commercial products that share the same goals as AuTM. The four research projects (BBN, MIT, ICSI, ISL) are quite similar, but these have far more in common with each other than any of them have with AuTM. All of these use a single, in-house speaker independent speech recogniser rather than AuTM s use of multiple instances of COTS speaker-dependent speech recognisers. AuTM implements a continuous speech recogniser in a manner that increases capacity of the overall system by offering less specialised operational components. AuTM is intended to be mobile and not rely on specialist hardware, while each of the four projects (BBN, MIT, ISL and ICSI) appears to have been used in specially set-up meeting rooms. The four projects are older than AuTM, and some have extra, useful features such as automatic summarisation and purposebuilt meeting browsers. In practice it seems that all four relevant research projects try to coherently summarise a meeting and make it accessible afterwards, using a timeline to display relevant information, and marking important points of the meeting. AuTM together with the ISL, BBN, and ICSI projects share some characteristics with the MIT project, but what sets the MIT project apart is its use of selectively storing movie clips of meetings, rather than using speech-to-text to generate text transcripts. The work being carried out at Dictaphone Corporation and IBM uses similar technology to the AuTM prototype, though it does not focus on the meeting room type application. Most of the other systems outlined in this paper are proactive in capturing some form of media from a conference room or classroom, including audio, video, presented media and participant notes, and then automatically compiling a summary. A scan of the literature has concluded that the most unique features of AuTM software are: the live development of transcription capabilities created through a computer network, and the time stamping of utterances for each speaker to ensure an accurate record of who said what and when in a meeting transcript. 6. Acknowledgments We would like to thank Jason Littlefield, Barry Dwyer and Steve Graham for their contribution and continual development of the AuTM system. 7. References Abowd, G. D., Atkeson, C. G., Brotherton, J., Enqvist, T., Gulley, P. and Lemon, J. (1998): Investigating the Capture, Integration and Access Problem of Ubiquitous Computing in an Educational Setting. Proceedings of CHI '98: ACM Conference on Human Factors in Computing Systems, , ACM Press. Abowd, G. D., Atkeson, C. G., Feinstein, A., Hmelo, C., Kooper, R., Long, S., Sawhney, N. and Tan, M. (1996): Teaching and Learning as Multimedia Authoring: The Classroom 2000 Project. Proceedings of Multimedia '96, , ACM Press. Chiu, P., Kapuskar, A., Reitmeier, S. and Wilcox, L. (1999): NoteLook: Taking notes in meetings with digital video and ink. Proceedings of ACM Multimedia '99, , ACM Press. Chiu, P., Boreczky, J., Girgensohn, A. and Kimber, D. (2001): LiteMinutes: An Internet-Based System for Multimedia Meeting Minutes. Proceedings of World Wide Web 2001, , ACM Press. Colbath, S. and Kubala, F. (1998): Rough n Ready: A Meeting Recorder and Browser. A research note of the Perceptual User Interfaces Conference, San Francisco, CA, November Davis, R. C., Landay, J. A., Chen, V., Lee, R. B., Lin, J., Morrey, C. B., Schleimer, B., Price, M. N. and Schilit, B. N. (1999): NotePals: Lightweight Note Sharing by the Group, for the Group. Proceedings of CHI '99: ACM Conference on Human Factors in Computing Systems, , ACM Press. Dictaphone Corporation /exspeech/. Accessed 2 Sept Elrod, S., Bruce, R., Goldberg, D., Halasz, F., Janssen, W., Lee, D., Mccall, K., Pedersen, K., Pier, K., Tang, J. and Welch, B. (1992): Liveboard: A Large Interactive Display Supporting Group Meetings, Presentations and Remote Collaboration.. Proceedings of Human Factors in Computing Systems, ACM CHI ' 92, , ACM Press. Gross, R., Bett, M., Yu, H., Zhu, X., Pan, Y., Yang, J. and Waibel, A. (2000): Towards a Multimodal Meeting Record. Proceedings of the 2000 IEEE International Conference on Multimedia and Expo, vol. 3, 2000, IBM Corporation 2002, Introducing the IBM WebSphere Voice Server for Transcription, An IBM White Paper [Online, accessed 2 Sept. 2002] Available: /WSVSforTranscription.pdf. Janin, A. (2001): Meeting Recorder. Avios, San Jose. Kuhnen, R., Larossa-Greene, C. and Howes, S. L. (1999): Distributed speech recognition system with multi-user input stations, US Patent
6 Landay, J. A. and Davis, R. C (1999): Making sharing pervasive: ubiquitous computing for shared note taking. IBM Systems Journal, 38(4): , IBM Corp. Levine, S. R. and Ehrlich, S. F. (1991): The Freestyle System: A Design Perspective. Human-Machine Interactive Systems, 3-21, Plenum Publishers. Moran, T. P., Palen, L., Harrison, S., Chiu, P., Kimber, D., Minneman, S., Van Melle, W. and Zellweger, P. (1997): `I'll Get That Off the Audio': A Case Study of Salvaging Multimedia Meeting Records. Proceedings of CHI 97, , ACM Press. Morgan, N., Baron, D., Edwards, J., Ellis, D., Gelbart, D., Janin, A. Pfau, T., Shriberg, E. and Stolcke, A. (2001): The Meeting Project at ICSI, Proceedings of the Human Language Technology Conference, in press. NIST 2002, NIST Automatic Transcription project, [Online, accessed 3 Sept. 2002] URL: Nunamaker, J. F., Dennis, A. R., Valacich, J. S., Vogel, D. R. and George, J. F. (1991): Electronic Meeting Systems to Support Group Work. Communications of the ACM, 34(7): 40-61, ACM Press. Oh, A., Tuchinda, R. and Wu, L. (2001): MeetingManager: A Collaborative Tool in the Intelligent Room. Proceedings of the Student Oxygen Workshop 2000, Cambridge, MA, USA. Pedersen, E. R., McCall, K., Moran T. P. and Halasz, F. G. (1993): Tivoli: An Electronic Whiteboard for Informal Workgroup Meetings. Proceedings of ACM INTERCHI'93 Conference on Human Factors in Computing Systems, , Addison-Wesley Longman Publishing Co. Scansoft: Dragon Naturally Speaking Professional Solutions Data Sheet. FTP://ftp.scansoft.com/pub/doc/naturallyspeaking/DNS 6ProfDatasheet.pdf. Accessed 30 August Stefik, M., Bobrow, D. G., Foster, G., Lanning S. and Tatar, D. (1987): WYSIWIS Revised: Early Experiences with Multiuser Interfaces. ACM Transactions on Office Information Systems, 5(2): , ACM Press. Stifelman, L. J. (1996): Augmenting Real-World Objects: A Paper-based Audio Notebook. Proceedings of Human Factors in Computing Systems, CHI ' 96, , ACM Press. Streitz, N. A., Geissler, J., Haake, J. M. and Hol J. (1994): DOLPHIN: Integrated Meeting Support Across Local and Desktop Environments and LiveBoards. Proceedings of ACM CSCW'94 Conference on Computer-Supported Cooperative Work, , ACM Press. Waibel, A., Bett, M., Finke, M. and Stiefelhagen, R. (1998): Meeting Browser: Tracking and Summarizing Meetings. Proceedings of DARPA Broadcast News Transcription and Understanding Workshop, , Lansdowne, VA, Waibel, A., Bett, M., Metze, F., Ries, K., Schaaf, T., Schoultz T., Soltau, H., Yu, H. and Zechner, K. (2001): Advances in Automatic Meeting Record Creation and Access. Proceeding of the International Conference on Acoustics, Speech and Signal Processing Whittaker, S., Hyland, P. and Wiley M. (1994): Filochat: Handwritten Notes Provide Access to Recorded Conversations. Proceedings of ACM CHI '94 Conference on Human Factors in Computing Systems, pp , ACM Press. Wilcox, L. D., Schilit B. N. and Sawhney N. (1997): Dynomite: A Dynamically Organized Ink and Audio Notebook. Proceedings of Human Factors in Computing Systems, CHI '97, , ACM Press. Yu, H., Clark, C., Malkin, R. and Waibel, A. (1998): Experiments in Automatic Meeting Transcription Using JRTk. Proceedings of The 1998 IEEE International Conference of Acoustices, Speech and Signal Processing, vol. 2, Yu, H., Finke, M. and Waibel, A. (1999): Progress in Automatic Meeting Transcription. Proceedings of 6th European Conference on Speech Communication and Technology (Eurospeech-99), Budapest, Volume 2: Yu, H., Tomokiyo, T., Wang, Z. and Waibel, A. (2000): New Developments in Automatic Meeting Transcription. Proceedings of the ICSLP, Beijing, China, October Zschorn, A., Littlefield, J., Broughton, M., Dwyer, B. and Hashemi-Sakhtsari, A. (2002): Automatic Transcriber for Computer Supported Collaborative work. DSTO Technical Report, unpublished Report. Copyright 2003, Australian Computer Society, Inc. This paper appeared at the Inaugural Asia Pacific Forum on Pervasive Computing, Adelaide. Conferences in Research and Practice in Information Technology, Vol. 25. B. Ainsley, Ed. Reproduction for academic, not-for profit purposes permitted provided this text is included.
An Automatic Transcriber of Meetings Utilising Speech Recognition Technology
An Automatic Transcriber of Meetings Utilising Speech Recognition Technology Steve Graham and Jarrah Sladek Command and Control Division Information Sciences Laboratory DSTO-CR-0355 ABSTRACT Conducting
More informationMeeting Capture in a Media Enriched Conference Room
Meeting Capture in a Media Enriched Conference Room Patrick Chiu, Ashutosh Kapuskar, Lynn Wilcox FX Palo Alto Laboratory 3400 Hillview Ave, Bldg 4, Palo Alto CA 94304, USA Email: {lastname}@pal.xerox.com
More informationNoteLook: Taking Notes in Meetings with Digital Video and Ink
NoteLook: Taking Notes in Meetings with Digital Video and Ink Patrick Chiu 1, Ashutosh Kapuskar 1, Sarah Reitmeier 2, Lynn Wilcox 1 1 FX Palo Alto Laboratory, 3400 Hillview Ave, Bldg 4, Palo Alto CA 94304,
More informationeclass Notetaker [Extended Abstract] Ruben Ferreira
eclass Notetaker [Extended Abstract] Ruben Ferreira Instituto Superior Técnico rubgrande@gmail.com ABSTRACT Raising the student s levels of learning and teacher s level of teaching is always a major concern
More informationHandwritten Notes as a Visual Interface to Index, Edit and Publish Audio/Video Highlights
Appeared in Visual Interfaces to Digital Interfaces. Eds. Katy Börner & Chaomei Chen. Heidelberg, Germany: Springer, pp. 116 130. Handwritten Notes as a Visual Interface to Index, Edit and Publish Audio/Video
More informationJason A. Brotherton and Gregory D. Abowd
From: AAAI Technical Report SS-98-02. Compilation copyright 1998, AAAI (www.aaai.org). All rights reserved. Rooms Take Note: Room Takes Notes! Jason A. Brotherton and Gregory D. Abowd Graphics, Visualization,
More informationUsing high-quality multimedia
Computer-Supported Cooperative Work Room with a Rear View Meeting Capture in a Multimedia Conference Room Using advances in audio and video technology, capturing meetings can be much more than recording
More informationSupporting Group-to-Group Collaboration in Videoconferences
0-7695-1435-9/02 $17.00 (c) 2002 IEEE 1 Supporting Group-to-Group Collaboration in Videoconferences Andreas Girgensohn, John Boreczky, Patrick Chiu, Jonathan Foote, Lynn Wilcox, Stephen Smoliar FX Palo
More informationTranscription of Multiple Speakers Using Speaker Dependent Speech Recognition
Transcription of Multiple Speakers Using Speaker Dependent Speech Recognition Andrew Zschorn, Jason S. Littlefield, Michael Broughton, Barry Dwyer* and Ahmad Hashemi-Sakhtsari Command and Control Division
More informationInvestigating the effectiveness of audio capture and integration with other resources to support student revision and review of classroom activities
Case Study Investigating the effectiveness of audio capture and integration with other resources to support student revision and review of classroom activities Iain Stewart, Willie McKee School of Engineering
More informationUbiquitous Smart Spaces
I. Cover Page Ubiquitous Smart Spaces Topic Area: Smart Spaces Gregory Abowd, Chris Atkeson, Irfan Essa 404 894 6856, 404 894 0673 (Fax) abowd@cc.gatech,edu, cga@cc.gatech.edu, irfan@cc.gatech.edu Georgia
More informationTranscription FAQ. Can Dragon be used to transcribe meetings or interviews?
Transcription FAQ Can Dragon be used to transcribe meetings or interviews? No. Given its amazing recognition accuracy, many assume that Dragon speech recognition would be an ideal solution for meeting
More informationComparing Classroom Note Taking across Multiplatform Devices
Comparing Classroom Note Taking across Multiplatform Devices Kibum Kim Virginia Tech Blacksburg, VA, USA 24061 kikim@cs.vt.edu Scott Turner Virginia Tech Blacksburg, VA, USA 24061 scturner@vt.edu Manuel
More informationEffect of Interface Style in Peer Review Comments for UML Designs
Effect of Interface Style in Peer Review Comments for UML Designs Scott A. Turner, Manuel A. Pérez-Quiñones, Stephen H. Edwards Computer Science Department Virginia Polytechnic Institute and State University
More informationNetSupport School: Classroom Management
NetSupport School: Classroom Management NetSupport School is a class leading training software solution, providing Teachers with the ability to instruct, monitor and interact with their Students either
More informationUtilizing Automatic Speech Recognition to Improve Deaf Accessibility on the Web
Utilizing Automatic Speech Recognition to Improve Deaf Accessibility on the Web Brent Shiver DePaul University bshiver@cs.depaul.edu Abstract Internet technologies have expanded rapidly over the past two
More informationPhilips 9600 DPM Setup Guide for Dragon
Dragon NaturallySpeaking Version 10 Philips 9600 DPM Setup Guide for Dragon Philips 9600 DPM Setup Guide (revision 1.1) for Dragon NaturallySpeaking Version 10 as released in North America The material
More informationSoftware Engineering Issues for Ubiquitous Computing
Software Engineering Issues for Ubiquitous Computing Gregory D. Abowd College of Computing & GVU Center Georgia Institute of Technology Atlanta, GA 30332-0280 USA +404-894-7512 abowdcc.gatech.edu ABSTRACT
More informationDragon Solutions. Using A Digital Voice Recorder
Dragon Solutions Using A Digital Voice Recorder COMPLETE REPORTS ON THE GO USING A DIGITAL VOICE RECORDER Professionals across a wide range of industries spend their days in the field traveling from location
More informationThe preliminary design of a wearable computer for supporting Construction Progress Monitoring
The preliminary design of a wearable computer for supporting Construction Progress Monitoring 1 Introduction Jan Reinhardt, TU - Dresden Prof. James H. Garrett,Jr., Carnegie Mellon University Prof. Raimar
More informationConference Scribe: Turning Conference Calls into Documents
Conference Scribe: Turning Conference Calls into Documents Pierre D. Wellner * AT&T Labs Research Red Bank, NJ 07701 USA * Currently at Spiderphone.com, Inc. pwellner@spiderphone.com David M. Weimer AT&T
More informationDragon Solutions Using A Digital Voice Recorder
Dragon Solutions Using A Digital Voice Recorder COMPLETE REPORTS ON THE GO USING A DIGITAL VOICE RECORDER Professionals across a wide range of industries spend their days in the field traveling from location
More informationGlossary of terms used in the survey
Glossary of terms used in the survey 5 October 2015 Term or abbreviation Audio / video capture Refers to the recording of audio and/or video. API Application programming interface, how a computer program
More informationGuide: Technologies for people who are Deaf or hard of hearing
Guide: Technologies for people who are Deaf or hard of hearing The following are examples of how technology can aid communication if you are Deaf or hard of hearing. These options may not suit all situations.
More informationThe Case for the Tablet PC in Health Care
The Case for the Tablet PC in Health Care Based on a Microsoft White Paper Abstract In today s demanding, fast-paced, and mobile medical world, we can t always have access to a desktop computer and paper
More informationHow To Use An Hp Tablet Pc
The Case for the Tablet PC in Health Care Based on a Microsoft White Paper Abstract In today s demanding, fast-paced, and mobile medical world, we can t always have access to a desktop computer and paper
More informationGetting Started with Microsoft Office Live Meeting. Published October 2007 Last Update: August 2009
Getting Started with Microsoft Office Live Meeting Published October 2007 Last Update: August 2009 Information in this document, including URL and other Internet Web site references, is subject to change
More informationUnified Communications Using Microsoft Office Live Meeting 2007
Unified Communications Using Microsoft Office Live Meeting 2007 Text version of online course. Contents Unified Communications... 1 About Microsoft Office Live Meeting 2007... 3 Copyright Information...
More informationGetting Started with Microsoft Office Live Meeting. Published October 2007
Getting Started with Microsoft Office Live Meeting Published October 2007 Information in this document, including URL and other Internet Web site references, is subject to change without notice. Unless
More informationDistributed Application Launching for High Quality Graphics in Synchronous Distance Education. Overview
Distributed Application Launching for High Quality Graphics in Synchronous Distance Education J. Mark Pullen and Jim X. Chen Department of Computer Science and George Mason University Fairfax, VA, 22030,
More informationEnriched Links: A Framework For Improving Web Navigation Using Pop-Up Views
Enriched Links: A Framework For Improving Web Navigation Using Pop-Up Views Gary Geisler Interaction Design Laboratory School of Information and Library Science University of North Carolina at Chapel Hill
More informationC E D A T 8 5. Innovating services and technologies for speech content management
C E D A T 8 5 Innovating services and technologies for speech content management Company profile 25 years experience in the market of transcription/reporting services; Cedat 85 Group: Cedat 85 srl Subtitle
More informationThe Role of Computers in Synchronous Collaborative Design
The Role of Computers in Synchronous Collaborative Design Wassim M. Jabi, The University of Michigan Theodore W. Hall, Chinese University of Hong Kong Abstract In this paper we discuss the role of computers
More informationHow To Use Speech Recognition Software For Insurance
Dragon NaturallySpeaking professional Increase Claims Handling Speed and Efficiency with Speech Recognition A White Paper for the Insurance Industry from Nuance Communications March 2009 Introduction It
More informationAA Automated Attendant is a device connected to voice mail systems that answers and may route incoming calls or inquiries.
CRM Glossary Guide AA Automated Attendant is a device connected to voice mail systems that answers and may route incoming calls or inquiries. ABANDON RATE Abandon Rate refers to the percentage of phone
More informationDragon Solutions Enterprise Profile Management
Dragon Solutions Enterprise Profile Management summary Simplifying System Administration and Profile Management for Enterprise Dragon Deployments In a distributed enterprise, IT professionals are responsible
More informationDragon Solutions Transcription Workflow
Solutions Transcription Workflow summary Improving Transcription and Workflow Efficiency Law firms have traditionally relied on expensive paralegals, legal secretaries, or outside services to transcribe
More informationUser Guide. Live Meeting. MailStreet Live Support: 866-461-0851
User Guide Live Meeting Information in this document, including URL and other Internet Web site references, is subject to change without notice. Unless otherwise noted, the example companies, organizations,
More informationDragon Medical 360 Network Edition Compatibility with XenDesktop
Dragon Medical 360 Network Edition Compatibility with XenDesktop Copyright 2012. This material may not include some last-minute technical changes and/or revisions to the software. Changes are periodically
More informationGLOSSARY OF TECHNICAL TERMS
This glossary contains explanations of certain terms, definitions and abbreviations used in this prospectus in connection with our Group and our business. The terms and their meanings may not correspond
More informationCustomer Success Story: Dragon Medical 360 Network Edition with Microsoft Application Virtualization
Customer Success Story: Dragon Medical 360 Network Edition with Microsoft Application Virtualization Contents Contents 2 Introduction 3 Hardware and Software Configurations 3 Dragon Medical 360 Network
More informationEvaluation of Tablet PCs for engineering content development and instruction
Session 1620 Evaluation of Tablet PCs for engineering content development and instruction Jeff Frolik and J. Brooks Zurn University of Vermont Introduction Over the past decade, there has been a great
More informationWeb Conferencing with Microsoft Lync TM. Quick Start Guide
Web Conferencing with Microsoft Lync TM Quick Start Guide Web Conferencing with Microsoft Lync i Contents Participate in Online Meetings with Lync Web App... 1 Check Your Meeting Readiness... 1 Join the
More informationWebEx Meeting Center User's Guide
WebEx Meeting Center User's Guide Table of Contents Accessing WebEx... 3 Choosing the scheduler that works for you... 6 About the Quick Scheduler Page... 6 About the Advanced Scheduler... 8 Editing a scheduled
More informationLeading Adobe Connect meetings
Leading Adobe Connect meetings You have created a meeting room, scheduled an online class or meeting, invited participants, and prepared the room for the day of class by testing your computer system and
More informationClassroom Management, part of Intel Education User Manual
Classroom Management, part of Intel Education User Manual Disclaimer INFORMATION IN THIS DOCUMENT IS PROVIDED IN CONNECTION WITH INTEL PRODUCTS. EXCEPT AS PROVIDED IN INTEL'S TERMS AND CONDITIONS OF SALE
More informationWeb Conferencing Product Comparison
Web Conferencing Product Comparison There are a variety of web conferencing solutions designed for use with different types of meetings: from less formal on-the-fly get-togethers to carefully structured
More informationHow To Use Live Meeting On Microsoft.Com
Microsoft Office Live Meeting User Guide Setting up Microsoft Office Live Meeting The Live Meeting Manager is a web based tool that helps you manage Office Live Meeting tasks from scheduling and joining
More informationIntegrating Multi-Modal Messages across Heterogeneous Networks.
Integrating Multi-Modal Messages across Heterogeneous Networks. Ramiro Liscano, Roger Impey, Qinxin Yu * and Suhayya Abu-Hakima Institute for Information Technology, National Research Council Canada, Montreal
More informationDragon speech recognition Nuance Dragon NaturallySpeaking 13 comparison by product. Feature matrix. Professional Premium Home.
matrix Recognition accuracy Recognition speed System configuration Turns your voice into text with up to 99% accuracy New - Up to a 15% improvement to out-of-the-box accuracy compared to Dragon version
More informationClassroom Management, part of Intel Education User s Guide. Available in the U.S. only for the K-12 market starting fall 2014.
Classroom Management, part of Intel Education User s Guide Available in the U.S. only for the K-2 market starting fall 20. Disclaimer INFORMATION IN THIS DOCUMENT IS PROVIDED IN CONNECTION WITH INTEL PRODUCTS.
More informationWhat is Oracle Web Conferencing?
Oracle Collaboration Suite Using Oracle Web Conferencing Release 2 (9.0.4.2.0) Part No. B12133-02 March 2004 Use this document to learn the basics of Oracle Web Conferencing. It is recommended that conference
More informationWHITEPAPER. Mobile Workforce Productivity Solutions. Streamline Field Reporting Workflow with Speech Recognition
WHITEPAPER Mobile Workforce Productivity Solutions Streamline Field Reporting Workflow with Speech Recognition GROWING DEMAND FOR MOBILE PRODUCTIVITY The total number of mobile workers will reach 1.2 billion
More informationCatDV Pro Workgroup Serve r
Architectural Overview CatDV Pro Workgroup Server Square Box Systems Ltd May 2003 The CatDV Pro client application is a standalone desktop application, providing video logging and media cataloging capability
More informationInformation Technology Career Field Pathways and Course Structure
Information Technology Career Field Pathways and Course Structure Courses in Information Support and Services (N0) Computer Hardware 2 145025 Computer Software 145030 Networking 2 145035 Network Operating
More informationWebEx Meeting Center User Guide
WebEx Meeting Center User Guide For Hosts, Presenters, and Attendees 8.17 Copyright 1997 2010 Cisco and/or its affiliates. All rights reserved. WEBEX, CISCO, Cisco WebEx, the CISCO logo, and the Cisco
More informationINCA: Architectural Support for Building Automated Capture & Access Applications
INCA: Architectural Support for Building Automated Capture & Access Applications Khai N. Truong and Gregory D. Abowd College of Computing & GVU Center Georgia Institute of Technology 801 Atlantic Drive
More informationPedagogical Use of Tablet PC for Active and Collaborative Learning
Pedagogical Use of Tablet PC for Active and Collaborative Learning Oscar Martinez Bonastre oscar.martinez@umh.es Antonio Peñalver Benavent a.penalver@umh.es Francisco Nortes Belmonte francisco.nortes@alu.umh.es
More informationAn introduction to videoconference teaching
UTas Teaching and Learning resources An introduction to videoconference teaching is used extensively throughout the University for teaching purposes. There are 9 dedicated videoconference venues spread
More informationPowerMic II Getting Started Guide. Dragon Medical Practice Edition
PowerMic II Getting Started Guide Dragon Medical Practice Edition Trademarks Nuance, the Nuance logo, Dictaphone, Dragon, DragonBar, the Dragon logo, and NaturallySpeaking are trademarks or registered
More informationThe Project Browser: Supporting Information Access for a Project Team
The Project Browser: Supporting Information Access for a Project Team Anita Cremers, Inge Kuijper, Peter Groenewegen, Wilfried Post TNO Human Factors, P.O. Box 23, 3769 ZG Soesterberg, The Netherlands
More informationMicrosoft Lync 2010 The Essentials
Microsoft Lync 2010 The Essentials Training User Guide Syed Ali Raza Director IT NUML Email : saraza@numls.edu.pk Engr Fazal-i-Hassan UC Specialist Email : fhassan@numls.edu.pk August 29, 2011 MICROSOFT
More informationDiscovering Computers 2008. Chapter 3 Application Software
Discovering Computers 2008 Chapter 3 Application Software Chapter 3 Objectives Identify the categories of application software Explain ways software is distributed Explain how to work with application
More informationWALKABOUT 5215 SUPPLEMENTAL INSTRUCTIONS FOR SETTING UP YOUR USER PROFILE IN DRAGON NATURALLYSPEAKING
WALKABOUT 5215 SUPPLEMENTAL INSTRUCTIONS FOR SETTING UP YOUR USER PROFILE IN DRAGON NATURALLYSPEAKING These supplemental instructions provide you with the information you need to configure your Walkabout
More informationImmersive Conferencing Directions at FX Palo Alto Laboratory
Immersive Conferencing Directions at FX Palo Alto Laboratory Jonathan Foote, Qiong Liu, Don Kimber, and Patrick Chiu FX Palo Alto Laboratory, 3400 Hillview Ave., Palo Alto, CA 94304 USA ABSTRACT For some
More informationAlternative Methods Of Input. Kafui A. Prebbie -kafui@kafui.com 82
Alternative Methods Of Input Kafui A. Prebbie -kafui@kafui.com 82 This lesson includes the following sections: Devices for the Hand Optical Input Devices Audio-Visual (Multimedia) Input Devices Kafui A.
More informationVIA CONNECT PRO Deployment Guide
VIA CONNECT PRO Deployment Guide www.true-collaboration.com Infinite Ways to Collaborate CONTENTS Introduction... 3 User Experience... 3 Pre-Deployment Planning... 3 Connectivity... 3 Network Addressing...
More informationDanaos Platform Conferencing Quick Users Guide
DANAOS Management Consultants Danaos Platform Conferencing Quick Users Guide Danaos Platform is the professional social network for the shipping industry Offering a Shipping Directory, Conferencing, Forums,
More informationInteractive Web-based Teaching for Computing in an Engineering Degree*
Int. J. Engng Ed. Vol. 15, No. 5, pp. 358±364, 1999 0949-149X/91 $3.00+0.00 Printed in Great Britain. # 1999 TEMPUS Publications. Interactive Web-based Teaching for Computing in an Engineering Degree*
More informationIssues in Delivering Mobile IT Systems to Field Users
Issues in Delivering Mobile IT Systems to Field Users J. H. Garrett, Jr. and J. Sunkpho Department of Civil and Environmental Engineering Carnegie Mellon University, Pittsburgh, PA, USA 1.0 INTRODUCTION
More informationSmartTV User Interface Development for SmartTV using Web technology and CEA2014. George Sarosi george.sarosi@twcable.com
SmartTV User Interface Development for SmartTV using Web technology and CEA2014. George Sarosi george.sarosi@twcable.com Abstract Time Warner Cable is the second largest Cable TV operator in North America
More informationInformation Technology Standards Document
Information Technology Standards Document The Information Technology Standards Policy lists all technologies supported by the organization and serves as a guideline for all technology purchasing and use
More informationTo ensure you successfully install Timico VoIP for Business you must follow the steps in sequence:
To ensure you successfully install Timico VoIP for Business you must follow the steps in sequence: Firewall Settings - you may need to check with your technical department Step 1 Install Hardware Step
More informationWebEx. Remote Support. User s Guide
WebEx Remote Support User s Guide Version 6.5 Copyright WebEx Communications, Inc. reserves the right to make changes in the information contained in this publication without prior notice. The reader should
More informationLocal Remote Collaboration: Applying Remote Group Awareness Techniques to Co-located Settings
Local Remote Collaboration: Applying Remote Group Awareness Techniques to Co-located Settings Stacey D. Scott Systems Design Engineering University of Waterloo Waterloo, ON, Canada stacey.scott@uwaterloo.ca
More informationWebEx Meeting Center User s Guide
WebEx Meeting Center User s Guide Version 8 Copyright WebEx Communications, Inc. reserves the right to make changes in the information contained in this publication without prior notice. The reader should
More informationComponent 4: Introduction to Information and Computer Science. Topic III: Cloud Computing. Distributed computing
Component 4: Introduction to Information and Computer Science Unit 10: Future of Computing Lecture 2 This material was developed by Oregon Health & Science University, funded by the Department of Health
More informationIntegrating Databases, Objects and the World-Wide Web for Collaboration in Architectural Design
Integrating Databases, Objects and the World-Wide Web for Collaboration in Architectural Design Wassim Jabi, Assistant Professor Department of Architecture University at Buffalo, State University of New
More informationVoice-Recognition Software An Introduction
Voice-Recognition Software An Introduction What is Voice Recognition? Voice recognition is an alternative to typing on a keyboard. Put simply, you talk to the computer and your words appear on the screen.
More informationGuide to the Dragon Bar
Guide to the Dragon Bar All the commands for using Dragon Naturally Speaking are available from the Dragon Bar. This is displayed at the top of your screen when you load Dragon Naturally Speaking. There
More informationVOICE RECOGNITION vs TRADITIONAL TRANSCRIPTION
WHITE PAPER VOICE RECOGNITION vs TRADITIONAL TRANSCRIPTION Physician Charting in the ED ROBERT G. ZICK, MD AND JON OLSEN, MD CONTENTS 3 OVERVIEW 3 METHODS 5 RESULTS 5 DISCUSSION 2 OVERVIEW This study was
More informationVersion 1.0 09/10. Xerox ColorQube 9301/9302/9303 Internet Services
Version 1.0 09/10 Xerox ColorQube 9301/9302/9303 2010 Xerox Corporation. All Rights Reserved. Unpublished rights reserved under the copyright laws of the United States. Contents of this publication may
More informationDo Handheld Devices Facilitate Face-to-Face Collaboration? Handheld Devices with Large Shared Display Groupware
Do Handheld Devices Facilitate Face-to-Face Collaboration? Handheld Devices with Large Shared Display Groupware Chen-Chung Liu Assistant Professor Graduate Institute of Network Learning Technology National
More informationThe Prognosis is Good: Speech Recognition Software Can Increase Productivity in the Medical Environment
The Prognosis is Good: Speech Recognition Software Can Increase Productivity in the Medical Environment Introduction Traditionally viewed as simply a means of dictating text into a personal computer, today
More informationSmart Board Basics. December, 2009. Rebecca Clemente Department of Education
Smart Board Basics December, 2009 Rebecca Clemente Department of Education Contents Obtaining the software... 3 What your students will need... 3 Writing in the Notebook... 4 Saving... 5 Change handwriting
More informationUsing a Digital Recorder with Dragon NaturallySpeaking
Using a Digital Recorder with Dragon NaturallySpeaking For those desiring to record dictation on the go and later have it transcribed by Dragon, the use of a portable digital dictating device is a perfect
More informationChapter 14 - Record Recording and Presentation Requirements
Region 4 & 6 Learning Lab for Chapter Recording and Distribution San Diego, CA 25-Jan-2015 John Walz, Director 2015-16, IEEE Board Outline 1. Introductions 2. Purpose, Goal - Coughlin 3. Benefits, Value
More informationImplementing Live Meeting with Microsoft Office Communications Server 2007
Implementing Live Meeting with Microsoft Office Communications Server 2007 Product Group - Enterprise Dell White Paper By Ananda Sankaran Farrukh Noman April 2008 Contents Introduction... 3 Microsoft Office
More informationMIST/C: OPEN SOURCE SOFTWARE FOR HYBRID CLASSROOM AND ONLINE TEACHING
MIST/C: OPEN SOURCE SOFTWARE FOR HYBRID CLASSROOM AND ONLINE TEACHING J. Mark Pullen, Nicholas Clark and Priscilla McAndrews Department of Computer Science, Networking and Simulation Laboratory / C4I Center
More informationVIA COLLAGE Deployment Guide
VIA COLLAGE Deployment Guide www.true-collaboration.com Infinite Ways to Collaborate CONTENTS Introduction... 3 User Experience... 3 Pre-Deployment Planning... 3 Connectivity... 3 Network Addressing...
More informationUsing a Mobile Device to Vary the Pace of Search
Using a Mobile Device to Vary the Pace of Search Matt Jones 1, Preeti Jain 1, George Buchanan 1 & Gary Marsden 2 1 Department of Computer Science, University of Waikato, New Zealand, always@acm.org 2 Department
More informationGiuseppe Riccardi, Marco Ronchetti. University of Trento
Giuseppe Riccardi, Marco Ronchetti University of Trento 1 Outline Searching Information Next Generation Search Interfaces Needle E-learning Application Multimedia Docs Indexing, Search and Presentation
More informationDRAGON NATURALLYSPEAKING 12 FEATURE MATRIX COMPARISON BY PRODUCT EDITION
1 Recognition Accuracy Turns your voice into text with up to 99% accuracy NEW - Up to a 20% improvement to out-of-the-box accuracy compared to Dragon version 11 Recognition Speed Words appear on the screen
More informationAdvanced Peer to Peer Discovery and Interaction Framework
Advanced Peer to Peer Discovery and Interaction Framework Peeyush Tugnawat J.D. Edwards and Company One, Technology Way, Denver, CO 80237 peeyush_tugnawat@jdedwards.com Mohamed E. Fayad Computer Engineering
More informationJAVA-BASED FRAMEWORK FOR REMOTE ACCESS TO LABORATORY EXPERIMENTS. Department of Electrical Engineering University of Hagen D-58084 Hagen, Germany
JAVA-BASED FRAMEWORK FOR REMOTE ACCESS TO LABORATORY EXPERIMENTS Christof Röhrig, 1 Andreas Jochheim 2 Department of Electrical Engineering University of Hagen D-58084 Hagen, Germany Abstract: This paper
More informationIntegrated Library Systems (ILS) Glossary
Integrated Library Systems (ILS) Glossary Acquisitions Selecting, ordering and receiving new materials and maintaining accurate records. Authority files Lists of preferred headings in a library catalogue,
More informationBlackboard Collaborate Introduction & Handbook
CSU Stanislaus Office of Information Technology Blackboard Collaborate Introduction & Handbook What is Collaborate? Blackboard Collaborate is the university s online meeting and conferencing service. Users
More informationSMART Board Training Outline Trainer: Basel Badran
Sharjah Higher Colleges of Technology SMART Board Training Outline Trainer: Basel Badran What is a SMART Board? o Concept & Technology SMART Board Components: o Smart Tools Start Center Recorder Keyboard
More informationSMART Board User Guide for Mac
SMART Board User Guide for Mac What is it? SMART Board is an interactive whiteboard available in an increasing number of classrooms at the University of Tennessee. While your laptop image is projected
More informationTotal Recall Survey Report
Total Recall Survey Report Enrico Bertini, Denis Lalanne University of Fribourg Abstract The overall objective of the TotalRecall project is to support humans memory in the professional life, and more
More information