Speech Signal Processing: An Overview

Save this PDF as:
 WORD  PNG  TXT  JPG

Size: px
Start display at page:

Download "Speech Signal Processing: An Overview"

Transcription

1 Speech Signal Processing: An Overview S. R. M. Prasanna Department of Electronics and Electrical Engineering Indian Institute of Technology Guwahati December, 2012 Prasanna (EMST Lab, EEE, IITG) Speech Signal Processing: An Overview December 20, / 13

2 Organization Introduction Sampling frequency and bit resolution Non-stationary nature Short term processing STFT and Spectrogram Energy and Pitch Cepstral analysis Linear prediction analysis Speech processing tasks Summary Prasanna (EMST Lab, EEE, IITG) Speech Signal Processing: An Overview December 20, / 13

3 Speech: Fundamental and effortless mode of communication among humans. Speech communication: Talker, listener and channel Speech Production Process: Message formulation, language coding, neuro-muscular commands, movement of speech production organs, acoustic pressure variations Speech Perception Process: acoustic pressure variations, movement of speech perception organs, neuro-muscular commands, message comprehension Prasanna (EMST Lab, EEE, IITG) Speech Signal Processing: An Overview December 20, / 13

4 What is present in Speech Signal? Message Speaker Emotion Language Dialect Sensor Channel How to analyze, extract and model these information Prasanna (EMST Lab, EEE, IITG) Speech Signal Processing: An Overview December 20, / 13

5 Sampling Frequency Acoustic pressure variations to electrical signal using microphone Digitization for storage, analysis and processing on a digital machine Sampling, quantization and Encoding Sampling Theorem: The sampling frequency should be greater than or equal to twice the maximum frequency Audio frequency range: 20 Hz to 20 khz Speech components up to 14 khz, but can consider the whole audio range. Min. Sampling frequency recommended is 40 khz Including some guard band it is 48 khz Prasanna (EMST Lab, EEE, IITG) Speech Signal Processing: An Overview December 20, / 13

6 Bit Rate Number of bits / sample Bit resolution Number of quantization levels Minimum 16 bits is recommended Prasanna (EMST Lab, EEE, IITG) Speech Signal Processing: An Overview December 20, / 13

7 Non-Stationary Nature Signal, system, and signals and systems Stationary vs non-stationary signal Significance of non-stationary nature of speech Prasanna (EMST Lab, EEE, IITG) Speech Signal Processing: An Overview December 20, / 13

8 Short Term Processing Need for short term processing Approach for short term processing Frame size and frame shift Short term time domain processing Short term frequency domain processing Prasanna (EMST Lab, EEE, IITG) Speech Signal Processing: An Overview December 20, / 13

9 Short Term Domain Parameters Short term energy Short term zero crossing rate Short term autocorrelation Prasanna (EMST Lab, EEE, IITG) Speech Signal Processing: An Overview December 20, / 13

10 Short Term Frequency Domain Parameters Short term Fourier transform DTFT, STFT, DFT, FFT Spectrogram Wideband spectrogram Narrowband spectrogram Prasanna (EMST Lab, EEE, IITG) Speech Signal Processing: An Overview December 20, / 13

11 Cepstral Analysis of Speech Separation of source and system components in cepstral domain Feature extraction stage of automatic speech processing systems Also in estimation of pitch Cepstrum pitch determination Prasanna (EMST Lab, EEE, IITG) Speech Signal Processing: An Overview December 20, / 13

12 Linear Prediction Analysis of Speech Separation of source and system components in time domain Filter coefficients for speech coding Pitch estimation by SIFT Prasanna (EMST Lab, EEE, IITG) Speech Signal Processing: An Overview December 20, / 13

13 Automatic Speech Processing Tasks Speech recognition Speaker recognition Speech synthesis Language identification Prasanna (EMST Lab, EEE, IITG) Speech Signal Processing: An Overview December 20, / 13

Analysis/resynthesis with the short time Fourier transform

Analysis/resynthesis with the short time Fourier transform Analysis/resynthesis with the short time Fourier transform summer 2006 lecture on analysis, modeling and transformation of audio signals Axel Röbel Institute of communication science TU-Berlin IRCAM Analysis/Synthesis

More information

Analog Representations of Sound

Analog Representations of Sound Analog Representations of Sound Magnified phonograph grooves, viewed from above: The shape of the grooves encodes the continuously varying audio signal. Analog to Digital Recording Chain ADC Microphone

More information

School Class Monitoring System Based on Audio Signal Processing

School Class Monitoring System Based on Audio Signal Processing C. R. Rashmi 1,,C.P.Shantala 2 andt.r.yashavanth 3 1 Department of CSE, PG Student, CIT, Gubbi, Tumkur, Karnataka, India. 2 Department of CSE, Vice Principal & HOD, CIT, Gubbi, Tumkur, Karnataka, India.

More information

B3. Short Time Fourier Transform (STFT)

B3. Short Time Fourier Transform (STFT) B3. Short Time Fourier Transform (STFT) Objectives: Understand the concept of a time varying frequency spectrum and the spectrogram Understand the effect of different windows on the spectrogram; Understand

More information

Introduction and Comparison of Common Videoconferencing Audio Protocols I. Digital Audio Principles

Introduction and Comparison of Common Videoconferencing Audio Protocols I. Digital Audio Principles Introduction and Comparison of Common Videoconferencing Audio Protocols I. Digital Audio Principles Sound is an energy wave with frequency and amplitude. Frequency maps the axis of time, and amplitude

More information

Advanced Speech-Audio Processing in Mobile Phones and Hearing Aids

Advanced Speech-Audio Processing in Mobile Phones and Hearing Aids Advanced Speech-Audio Processing in Mobile Phones and Hearing Aids Synergies and Distinctions Peter Vary RWTH Aachen University Institute of Communication Systems WASPAA, October 23, 2013 Mohonk Mountain

More information

Available from Deakin Research Online:

Available from Deakin Research Online: This is the authors final peered reviewed (post print) version of the item published as: Adibi,S 2014, A low overhead scaled equalized harmonic-based voice authentication system, Telematics and informatics,

More information

L9: Cepstral analysis

L9: Cepstral analysis L9: Cepstral analysis The cepstrum Homomorphic filtering The cepstrum and voicing/pitch detection Linear prediction cepstral coefficients Mel frequency cepstral coefficients This lecture is based on [Taylor,

More information

MUSICAL INSTRUMENT FAMILY CLASSIFICATION

MUSICAL INSTRUMENT FAMILY CLASSIFICATION MUSICAL INSTRUMENT FAMILY CLASSIFICATION Ricardo A. Garcia Media Lab, Massachusetts Institute of Technology 0 Ames Street Room E5-40, Cambridge, MA 039 USA PH: 67-53-0 FAX: 67-58-664 e-mail: rago @ media.

More information

The Algorithms of Speech Recognition, Programming and Simulating in MATLAB

The Algorithms of Speech Recognition, Programming and Simulating in MATLAB FACULTY OF ENGINEERING AND SUSTAINABLE DEVELOPMENT. The Algorithms of Speech Recognition, Programming and Simulating in MATLAB Tingxiao Yang January 2012 Bachelor s Thesis in Electronics Bachelor s Program

More information

Lecture 1-10: Spectrograms

Lecture 1-10: Spectrograms Lecture 1-10: Spectrograms Overview 1. Spectra of dynamic signals: like many real world signals, speech changes in quality with time. But so far the only spectral analysis we have performed has assumed

More information

Audio Engineering Society. Convention Paper. Presented at the 129th Convention 2010 November 4 7 San Francisco, CA, USA

Audio Engineering Society. Convention Paper. Presented at the 129th Convention 2010 November 4 7 San Francisco, CA, USA Audio Engineering Society Convention Paper Presented at the 129th Convention 2010 November 4 7 San Francisco, CA, USA The papers at this Convention have been selected on the basis of a submitted abstract

More information

Thirukkural - A Text-to-Speech Synthesis System

Thirukkural - A Text-to-Speech Synthesis System Thirukkural - A Text-to-Speech Synthesis System G. L. Jayavardhana Rama, A. G. Ramakrishnan, M Vijay Venkatesh, R. Murali Shankar Department of Electrical Engg, Indian Institute of Science, Bangalore 560012,

More information

Emotion Detection from Speech

Emotion Detection from Speech Emotion Detection from Speech 1. Introduction Although emotion detection from speech is a relatively new field of research, it has many potential applications. In human-computer or human-human interaction

More information

A Sound Analysis and Synthesis System for Generating an Instrumental Piri Song

A Sound Analysis and Synthesis System for Generating an Instrumental Piri Song , pp.347-354 http://dx.doi.org/10.14257/ijmue.2014.9.8.32 A Sound Analysis and Synthesis System for Generating an Instrumental Piri Song Myeongsu Kang and Jong-Myon Kim School of Electrical Engineering,

More information

CMAS. Compact Radio Signal Monitoring Solution

CMAS. Compact Radio Signal Monitoring Solution CMAS Compact Radio Signal Monitoring Solution CMAS is a high-performance, automatic radio monitoring solution for multichannel analysing and processing of HF and V/UHF signals. 1, 2, 20 MHz wideband input

More information

BLIND SOURCE SEPARATION OF SPEECH AND BACKGROUND MUSIC FOR IMPROVED SPEECH RECOGNITION

BLIND SOURCE SEPARATION OF SPEECH AND BACKGROUND MUSIC FOR IMPROVED SPEECH RECOGNITION BLIND SOURCE SEPARATION OF SPEECH AND BACKGROUND MUSIC FOR IMPROVED SPEECH RECOGNITION P. Vanroose Katholieke Universiteit Leuven, div. ESAT/PSI Kasteelpark Arenberg 10, B 3001 Heverlee, Belgium Peter.Vanroose@esat.kuleuven.ac.be

More information

Understanding the Transition From PESQ to POLQA. An Ascom Network Testing White Paper

Understanding the Transition From PESQ to POLQA. An Ascom Network Testing White Paper Understanding the Transition From PESQ to POLQA An Ascom Network Testing White Paper By Dr. Irina Cotanis Prepared by: Date: Document: Dr. Irina Cotanis 6 December 2011 NT11-22759, Rev. 1.0 Ascom (2011)

More information

Ericsson T18s Voice Dialing Simulator

Ericsson T18s Voice Dialing Simulator Ericsson T18s Voice Dialing Simulator Mauricio Aracena Kovacevic, Anna Dehlbom, Jakob Ekeberg, Guillaume Gariazzo, Eric Lästh and Vanessa Troncoso Dept. of Signals Sensors and Systems Royal Institute of

More information

Voice Communication Package v7.0 of front-end voice processing software technologies General description and technical specification

Voice Communication Package v7.0 of front-end voice processing software technologies General description and technical specification Voice Communication Package v7.0 of front-end voice processing software technologies General description and technical specification (Revision 1.0, May 2012) General VCP information Voice Communication

More information

GSM speech coding. Wolfgang Leister Forelesning INF 5080 Vårsemester 2004. Norsk Regnesentral

GSM speech coding. Wolfgang Leister Forelesning INF 5080 Vårsemester 2004. Norsk Regnesentral GSM speech coding Forelesning INF 5080 Vårsemester 2004 Sources This part contains material from: Web pages Universität Bremen, Arbeitsbereich Nachrichtentechnik (ANT): Prof.K.D. Kammeyer, Jörg Bitzer,

More information

Computer Networks and Internets, 5e Chapter 6 Information Sources and Signals. Introduction

Computer Networks and Internets, 5e Chapter 6 Information Sources and Signals. Introduction Computer Networks and Internets, 5e Chapter 6 Information Sources and Signals Modified from the lecture slides of Lami Kaya (LKaya@ieee.org) for use CECS 474, Fall 2008. 2009 Pearson Education Inc., Upper

More information

Marathi Interactive Voice Response System (IVRS) using MFCC and DTW

Marathi Interactive Voice Response System (IVRS) using MFCC and DTW Marathi Interactive Voice Response System (IVRS) using MFCC and DTW Manasi Ram Baheti Department of CSIT, Dr.B.A.M. University, Aurangabad, (M.S.), India Bharti W. Gawali Department of CSIT, Dr.B.A.M.University,

More information

Dirac Live & the RS20i

Dirac Live & the RS20i Dirac Live & the RS20i Dirac Research has worked for many years fine-tuning digital sound optimization and room correction. Today, the technology is available to the high-end consumer audio market with

More information

Sampling Theorem Notes. Recall: That a time sampled signal is like taking a snap shot or picture of signal periodically.

Sampling Theorem Notes. Recall: That a time sampled signal is like taking a snap shot or picture of signal periodically. Sampling Theorem We will show that a band limited signal can be reconstructed exactly from its discrete time samples. Recall: That a time sampled signal is like taking a snap shot or picture of signal

More information

Advanced Signal Processing and Digital Noise Reduction

Advanced Signal Processing and Digital Noise Reduction Advanced Signal Processing and Digital Noise Reduction Saeed V. Vaseghi Queen's University of Belfast UK WILEY HTEUBNER A Partnership between John Wiley & Sons and B. G. Teubner Publishers Chichester New

More information

1. Introduction to Spoken Dialogue Systems

1. Introduction to Spoken Dialogue Systems SoSe 2006 Projekt Sprachdialogsysteme 1. Introduction to Spoken Dialogue Systems Walther v. Hahn, Cristina Vertan {vhahn,vertan}@informatik.uni-hamburg.de Content What are Spoken dialogue systems? Types

More information

K2 CW Filter Alignment Procedures Using Spectrogram 1 ver. 5 01/17/2002

K2 CW Filter Alignment Procedures Using Spectrogram 1 ver. 5 01/17/2002 K2 CW Filter Alignment Procedures Using Spectrogram 1 ver. 5 01/17/2002 It will be assumed that you have already performed the RX alignment procedures in the K2 manual, that you have already selected the

More information

Carla Simões, t-carlas@microsoft.com. Speech Analysis and Transcription Software

Carla Simões, t-carlas@microsoft.com. Speech Analysis and Transcription Software Carla Simões, t-carlas@microsoft.com Speech Analysis and Transcription Software 1 Overview Methods for Speech Acoustic Analysis Why Speech Acoustic Analysis? Annotation Segmentation Alignment Speech Analysis

More information

Appendix C GSM System and Modulation Description

Appendix C GSM System and Modulation Description C1 Appendix C GSM System and Modulation Description C1. Parameters included in the modelling In the modelling the number of mobiles and their positioning with respect to the wired device needs to be taken

More information

This document is downloaded from DR-NTU, Nanyang Technological University Library, Singapore.

This document is downloaded from DR-NTU, Nanyang Technological University Library, Singapore. This document is downloaded from DR-NTU, Nanyang Technological University Library, Singapore. Title Transcription of polyphonic signals using fast filter bank( Accepted version ) Author(s) Foo, Say Wei;

More information

From Concept to Production in Secure Voice Communications

From Concept to Production in Secure Voice Communications From Concept to Production in Secure Voice Communications Earl E. Swartzlander, Jr. Electrical and Computer Engineering Department University of Texas at Austin Austin, TX 78712 Abstract In the 1970s secure

More information

Automatic Detection of Emergency Vehicles for Hearing Impaired Drivers

Automatic Detection of Emergency Vehicles for Hearing Impaired Drivers Automatic Detection of Emergency Vehicles for Hearing Impaired Drivers Sung-won ark and Jose Trevino Texas A&M University-Kingsville, EE/CS Department, MSC 92, Kingsville, TX 78363 TEL (36) 593-2638, FAX

More information

Auto-Tuning Using Fourier Coefficients

Auto-Tuning Using Fourier Coefficients Auto-Tuning Using Fourier Coefficients Math 56 Tom Whalen May 20, 2013 The Fourier transform is an integral part of signal processing of any kind. To be able to analyze an input signal as a superposition

More information

Time Series Analysis: Introduction to Signal Processing Concepts. Liam Kilmartin Discipline of Electrical & Electronic Engineering, NUI, Galway

Time Series Analysis: Introduction to Signal Processing Concepts. Liam Kilmartin Discipline of Electrical & Electronic Engineering, NUI, Galway Time Series Analysis: Introduction to Signal Processing Concepts Liam Kilmartin Discipline of Electrical & Electronic Engineering, NUI, Galway Aims of Course To introduce some of the basic concepts of

More information

SR2000 FREQUENCY MONITOR

SR2000 FREQUENCY MONITOR SR2000 FREQUENCY MONITOR THE FFT SEARCH FUNCTION IN DETAILS FFT Search is a signal search using FFT (Fast Fourier Transform) technology. The FFT search function first appeared with the SR2000 Frequency

More information

Speech Recognition on Cell Broadband Engine UCRL-PRES-223890

Speech Recognition on Cell Broadband Engine UCRL-PRES-223890 Speech Recognition on Cell Broadband Engine UCRL-PRES-223890 Yang Liu, Holger Jones, John Johnson, Sheila Vaidya (Lawrence Livermore National Laboratory) Michael Perrone, Borivoj Tydlitat, Ashwini Nanda

More information

Introduction to Digital Audio

Introduction to Digital Audio Introduction to Digital Audio Before the development of high-speed, low-cost digital computers and analog-to-digital conversion circuits, all recording and manipulation of sound was done using analog techniques.

More information

Web-Conferencing System SAViiMeeting

Web-Conferencing System SAViiMeeting Web-Conferencing System SAViiMeeting Alexei Machovikov Department of Informatics and Computer Technologies National University of Mineral Resources Mining St-Petersburg, Russia amachovikov@gmail.com Abstract

More information

Digital Speech Coding

Digital Speech Coding Digital Speech Processing David Tipper Associate Professor Graduate Program of Telecommunications and Networking University of Pittsburgh Telcom 2720 Slides 7 http://www.sis.pitt.edu/~dtipper/tipper.html

More information

Course overview Processamento de sinais 2009/10 LEA

Course overview Processamento de sinais 2009/10 LEA Course overview Processamento de sinais 2009/10 LEA João Pedro Gomes jpg@isr.ist.utl.pt Instituto Superior Técnico Processamento de sinais MEAer (IST) Course overview 1 / 19 Course overview Motivation:

More information

Artificial Neural Network for Speech Recognition

Artificial Neural Network for Speech Recognition Artificial Neural Network for Speech Recognition Austin Marshall March 3, 2005 2nd Annual Student Research Showcase Overview Presenting an Artificial Neural Network to recognize and classify speech Spoken

More information

ANALYZER BASICS WHAT IS AN FFT SPECTRUM ANALYZER? 2-1

ANALYZER BASICS WHAT IS AN FFT SPECTRUM ANALYZER? 2-1 WHAT IS AN FFT SPECTRUM ANALYZER? ANALYZER BASICS The SR760 FFT Spectrum Analyzer takes a time varying input signal, like you would see on an oscilloscope trace, and computes its frequency spectrum. Fourier's

More information

SPEAKER IDENTIFICATION FROM YOUTUBE OBTAINED DATA

SPEAKER IDENTIFICATION FROM YOUTUBE OBTAINED DATA SPEAKER IDENTIFICATION FROM YOUTUBE OBTAINED DATA Nitesh Kumar Chaudhary 1 and Shraddha Srivastav 2 1 Department of Electronics & Communication Engineering, LNMIIT, Jaipur, India 2 Bharti School Of Telecommunication,

More information

High Quality Integrated Data Reconstruction for Medical Applications

High Quality Integrated Data Reconstruction for Medical Applications High Quality Integrated Data Reconstruction for Medical Applications A.K.M Fazlul Haque Md. Hanif Ali M Adnan Kiber Department of Computer Science Department of Computer Science Department of Applied Physics,

More information

SOFTWARE FOR GENERATION OF SPECTRUM COMPATIBLE TIME HISTORY

SOFTWARE FOR GENERATION OF SPECTRUM COMPATIBLE TIME HISTORY 3 th World Conference on Earthquake Engineering Vancouver, B.C., Canada August -6, 24 Paper No. 296 SOFTWARE FOR GENERATION OF SPECTRUM COMPATIBLE TIME HISTORY ASHOK KUMAR SUMMARY One of the important

More information

Objective Speech Quality Measures for Internet Telephony

Objective Speech Quality Measures for Internet Telephony Objective Speech Quality Measures for Internet Telephony Timothy A. Hall National Institute of Standards and Technology 100 Bureau Drive, STOP 8920 Gaithersburg, MD 20899-8920 ABSTRACT Measuring voice

More information

VoIP Technologies Lecturer : Dr. Ala Khalifeh Lecture 4 : Voice codecs (Cont.)

VoIP Technologies Lecturer : Dr. Ala Khalifeh Lecture 4 : Voice codecs (Cont.) VoIP Technologies Lecturer : Dr. Ala Khalifeh Lecture 4 : Voice codecs (Cont.) 1 Remember first the big picture VoIP network architecture and some terminologies Voice coders 2 Audio and voice quality measuring

More information

FOURIER TRANSFORM BASED SIMPLE CHORD ANALYSIS. UIUC Physics 193 POM

FOURIER TRANSFORM BASED SIMPLE CHORD ANALYSIS. UIUC Physics 193 POM FOURIER TRANSFORM BASED SIMPLE CHORD ANALYSIS Fanbo Xiang UIUC Physics 193 POM Professor Steven M. Errede Fall 2014 1 Introduction Chords, an essential part of music, have long been analyzed. Different

More information

Video-Conferencing System

Video-Conferencing System Video-Conferencing System Evan Broder and C. Christoher Post Introductory Digital Systems Laboratory November 2, 2007 Abstract The goal of this project is to create a video/audio conferencing system. Video

More information

Automatic Evaluation Software for Contact Centre Agents voice Handling Performance

Automatic Evaluation Software for Contact Centre Agents voice Handling Performance International Journal of Scientific and Research Publications, Volume 5, Issue 1, January 2015 1 Automatic Evaluation Software for Contact Centre Agents voice Handling Performance K.K.A. Nipuni N. Perera,

More information

Improved Fault Detection by Appropriate Control of Signal

Improved Fault Detection by Appropriate Control of Signal Improved Fault Detection by Appropriate Control of Signal Bandwidth of the TSA Eric Bechhoefer 1, and Xinghui Zhang 2 1 GPMS Inc., President, Cornwall, VT, 05753, USA eric@gpms-vt.com 2 Mechanical Engineering

More information

Software Defined Radio

Software Defined Radio Software Defined Radio GNU Radio and the USRP Overview What is Software Defined Radio? Advantages of Software Defined Radio Traditional versus SDR Receivers SDR and the USRP Using GNU Radio Introduction

More information

Establishing the Uniqueness of the Human Voice for Security Applications

Establishing the Uniqueness of the Human Voice for Security Applications Proceedings of Student/Faculty Research Day, CSIS, Pace University, May 7th, 2004 Establishing the Uniqueness of the Human Voice for Security Applications Naresh P. Trilok, Sung-Hyuk Cha, and Charles C.

More information

Figure1. Acoustic feedback in packet based video conferencing system

Figure1. Acoustic feedback in packet based video conferencing system Real-Time Howling Detection for Hands-Free Video Conferencing System Mi Suk Lee and Do Young Kim Future Internet Research Department ETRI, Daejeon, Korea {lms, dyk}@etri.re.kr Abstract: This paper presents

More information

HERMES: Human Exposure and Radiation Monitoring of Electromagnetic Sources. www.hermes-program.gr

HERMES: Human Exposure and Radiation Monitoring of Electromagnetic Sources. www.hermes-program.gr HERMES Program: The Greek Experience of an Electromagnetic Radiation Monitoring System A. Manassas, A. Boursianis, T. Samaras and J. N. Sahalos HERMES: Human Exposure and Radiation Monitoring of Electromagnetic

More information

Digital Audio Recording Analysis The Electric Network Frequency Criterion Catalin Grigoras, Ph.D, IAFPA

Digital Audio Recording Analysis The Electric Network Frequency Criterion Catalin Grigoras, Ph.D, IAFPA Digital Audio Recording Analysis The Electric Network Frequency Criterion Catalin Grigoras, Ph.D, IAFPA INTRODUCTION Over the last years we saw a significant increase in the number of attempts to use digital

More information

The Sonometer The Resonant String and Timbre Change after plucking

The Sonometer The Resonant String and Timbre Change after plucking The Sonometer The Resonant String and Timbre Change after plucking EQUIPMENT Pasco sonometers (pick up 5 from teaching lab) and 5 kits to go with them BK Precision function generators and Tenma oscilloscopes

More information

MP3 Player CSEE 4840 SPRING 2010 PROJECT DESIGN. zl2211@columbia.edu. ml3088@columbia.edu

MP3 Player CSEE 4840 SPRING 2010 PROJECT DESIGN. zl2211@columbia.edu. ml3088@columbia.edu MP3 Player CSEE 4840 SPRING 2010 PROJECT DESIGN Zheng Lai Zhao Liu Meng Li Quan Yuan zl2215@columbia.edu zl2211@columbia.edu ml3088@columbia.edu qy2123@columbia.edu I. Overview Architecture The purpose

More information

Probability and Random Variables. Generation of random variables (r.v.)

Probability and Random Variables. Generation of random variables (r.v.) Probability and Random Variables Method for generating random variables with a specified probability distribution function. Gaussian And Markov Processes Characterization of Stationary Random Process Linearly

More information

RECOMMENDATION ITU-R BR.1384-1*, ** Parameters for international exchange of multi-channel sound recordings with or without accompanying picture ***

RECOMMENDATION ITU-R BR.1384-1*, ** Parameters for international exchange of multi-channel sound recordings with or without accompanying picture *** Rec. ITU-R BR.1384-1 1 RECOMMENDATION ITU-R BR.1384-1*, ** Parameters for international exchange of multi-channel sound recordings with or without accompanying picture *** (Question ITU-R 58/6) (1998-2005)

More information

communication over wireless link handling mobile user who changes point of attachment to network

communication over wireless link handling mobile user who changes point of attachment to network Wireless Networks Background: # wireless (mobile) phone subscribers now exceeds # wired phone subscribers! computer nets: laptops, palmtops, PDAs, Internet-enabled phone promise anytime untethered Internet

More information

Recent advances in Digital Music Processing and Indexing

Recent advances in Digital Music Processing and Indexing Recent advances in Digital Music Processing and Indexing Acoustics 08 warm-up TELECOM ParisTech Gaël RICHARD Telecom ParisTech (ENST) www.enst.fr/~grichard/ Content Introduction and Applications Components

More information

Due Wednesday, December 2. You can submit your answers to the analytical questions via either

Due Wednesday, December 2. You can submit your answers to the analytical questions via either ELEN 4810 Homework 6 Due Wednesday, December 2. You can submit your answers to the analytical questions via either - Hardcopy submission at the beginning of class on Wednesday, December 2, or - Electronic

More information

CLIO 8 CLIO 8 CLIO 8 CLIO 8

CLIO 8 CLIO 8 CLIO 8 CLIO 8 CLIO 8, by Audiomatica, is the new measurement software for the CLIO System. The CLIO System is the easiest and less expensive way to measure: - electrical networks - electronic equipment - loudspeaker

More information

LOW COST HARDWARE IMPLEMENTATION FOR DIGITAL HEARING AID USING

LOW COST HARDWARE IMPLEMENTATION FOR DIGITAL HEARING AID USING LOW COST HARDWARE IMPLEMENTATION FOR DIGITAL HEARING AID USING RasPi Kaveri Ratanpara 1, Priyan Shah 2 1 Student, M.E Biomedical Engineering, Government Engineering college, Sector-28, Gandhinagar (Gujarat)-382028,

More information

Abant Izzet Baysal University

Abant Izzet Baysal University TÜRKÇE SESLERİN İSTATİSTİKSEL ANALİZİ Pakize ERDOGMUS (1) Ali ÖZTÜRK (2) Abant Izzet Baysal University Technical Education Faculty Electronic and Comp. Education Dept. Asit. Prof. Abant İzzet Baysal Üniversitesi

More information

APPLYING MFCC-BASED AUTOMATIC SPEAKER RECOGNITION TO GSM AND FORENSIC DATA

APPLYING MFCC-BASED AUTOMATIC SPEAKER RECOGNITION TO GSM AND FORENSIC DATA APPLYING MFCC-BASED AUTOMATIC SPEAKER RECOGNITION TO GSM AND FORENSIC DATA Tuija Niemi-Laitinen*, Juhani Saastamoinen**, Tomi Kinnunen**, Pasi Fränti** *Crime Laboratory, NBI, Finland **Dept. of Computer

More information

Doppler. Doppler. Doppler shift. Doppler Frequency. Doppler shift. Doppler shift. Chapter 19

Doppler. Doppler. Doppler shift. Doppler Frequency. Doppler shift. Doppler shift. Chapter 19 Doppler Doppler Chapter 19 A moving train with a trumpet player holding the same tone for a very long time travels from your left to your right. The tone changes relative the motion of you (receiver) and

More information

Broadband Networks. Prof. Dr. Abhay Karandikar. Electrical Engineering Department. Indian Institute of Technology, Bombay. Lecture - 29.

Broadband Networks. Prof. Dr. Abhay Karandikar. Electrical Engineering Department. Indian Institute of Technology, Bombay. Lecture - 29. Broadband Networks Prof. Dr. Abhay Karandikar Electrical Engineering Department Indian Institute of Technology, Bombay Lecture - 29 Voice over IP So, today we will discuss about voice over IP and internet

More information

Chapter 10 Introduction to Time Series Analysis

Chapter 10 Introduction to Time Series Analysis Chapter 1 Introduction to Time Series Analysis A time series is a collection of observations made sequentially in time. Examples are daily mortality counts, particulate air pollution measurements, and

More information

Sound absorption and acoustic surface impedance

Sound absorption and acoustic surface impedance Sound absorption and acoustic surface impedance CHRISTER HEED SD2165 Stockholm October 2008 Marcus Wallenberg Laboratoriet för Ljud- och Vibrationsforskning Sound absorption and acoustic surface impedance

More information

Final Year Project Progress Report. Frequency-Domain Adaptive Filtering. Myles Friel. Supervisor: Dr.Edward Jones

Final Year Project Progress Report. Frequency-Domain Adaptive Filtering. Myles Friel. Supervisor: Dr.Edward Jones Final Year Project Progress Report Frequency-Domain Adaptive Filtering Myles Friel 01510401 Supervisor: Dr.Edward Jones Abstract The Final Year Project is an important part of the final year of the Electronic

More information

Introduction to Packet Voice Technologies and VoIP

Introduction to Packet Voice Technologies and VoIP Introduction to Packet Voice Technologies and VoIP Cisco Networking Academy Program Halmstad University Olga Torstensson 035-167575 olga.torstensson@ide.hh.se IP Telephony 1 Traditional Telephony 2 Basic

More information

11: AUDIO AMPLIFIER I. INTRODUCTION

11: AUDIO AMPLIFIER I. INTRODUCTION 11: AUDIO AMPLIFIER I. INTRODUCTION The properties of an amplifying circuit using an op-amp depend primarily on the characteristics of the feedback network rather than on those of the op-amp itself. A

More information

Real Time Analysis of VoIP System under Pervasive Environment through Spectral Parameters

Real Time Analysis of VoIP System under Pervasive Environment through Spectral Parameters Real Time Analysis of VoIP System under Pervasive Environment through Spectral Parameters Harjit Pal Singh Department of Physics Dr.B.R.Ambedkar National Institute of Technology Jalandhar, India Sarabjeet

More information

MPEG Unified Speech and Audio Coding Enabling Efficient Coding of both Speech and Music

MPEG Unified Speech and Audio Coding Enabling Efficient Coding of both Speech and Music ISO/IEC MPEG USAC Unified Speech and Audio Coding MPEG Unified Speech and Audio Coding Enabling Efficient Coding of both Speech and Music The standardization of MPEG USAC in ISO/IEC is now in its final

More information

Enhancing the SNR of the Fiber Optic Rotation Sensor using the LMS Algorithm

Enhancing the SNR of the Fiber Optic Rotation Sensor using the LMS Algorithm 1 Enhancing the SNR of the Fiber Optic Rotation Sensor using the LMS Algorithm Hani Mehrpouyan, Student Member, IEEE, Department of Electrical and Computer Engineering Queen s University, Kingston, Ontario,

More information

Department of Electrical and Computer Engineering Ben-Gurion University of the Negev. LAB 1 - Introduction to USRP

Department of Electrical and Computer Engineering Ben-Gurion University of the Negev. LAB 1 - Introduction to USRP Department of Electrical and Computer Engineering Ben-Gurion University of the Negev LAB 1 - Introduction to USRP - 1-1 Introduction In this lab you will use software reconfigurable RF hardware from National

More information

Propagation Channel Emulator ECP_V3

Propagation Channel Emulator ECP_V3 Navigation simulators Propagation Channel Emulator ECP_V3 1 Product Description The ECP (Propagation Channel Emulator V3) synthesizes the principal phenomena of propagation occurring on RF signal links

More information

THE problem of tracking multiple moving targets arises

THE problem of tracking multiple moving targets arises 728 IEEE TRANSACTIONS ON AUDIO, SPEECH, AND LANGUAGE PROCESSING, VOL. 16, NO. 4, MAY 2008 Binaural Tracking of Multiple Moving Sources Nicoleta Roman and DeLiang Wang, Fellow, IEEE Abstract This paper

More information

Wavelet analysis. Wavelet requirements. Example signals. Stationary signal 2 Hz + 10 Hz + 20Hz. Zero mean, oscillatory (wave) Fast decay (let)

Wavelet analysis. Wavelet requirements. Example signals. Stationary signal 2 Hz + 10 Hz + 20Hz. Zero mean, oscillatory (wave) Fast decay (let) Wavelet analysis In the case of Fourier series, the orthonormal basis is generated by integral dilation of a single function e jx Every 2π-periodic square-integrable function is generated by a superposition

More information

Email: tjohn@mail.nplindia.ernet.in

Email: tjohn@mail.nplindia.ernet.in USE OF VIRTUAL INSTRUMENTS IN RADIO AND ATMOSPHERIC EXPERIMENTS P.N. VIJAYAKUMAR, THOMAS JOHN AND S.C. GARG RADIO AND ATMOSPHERIC SCIENCE DIVISION, NATIONAL PHYSICAL LABORATORY, NEW DELHI 110012, INDIA

More information

Analog-to-Digital Voice Encoding

Analog-to-Digital Voice Encoding Analog-to-Digital Voice Encoding Basic Voice Encoding: Converting Analog to Digital This topic describes the process of converting analog signals to digital signals. Digitizing Analog Signals 1. Sample

More information

High Definition Wideband

High Definition Wideband Polaris Communications Whitepaper High Definition Wideband By extending telephone bandwidth to 7 khz and beyond, it is clear that one can markedly reduce fatigue, improve concentration and increase intelligibility

More information

Teaching Fourier Analysis and Wave Physics with the Bass Guitar

Teaching Fourier Analysis and Wave Physics with the Bass Guitar Teaching Fourier Analysis and Wave Physics with the Bass Guitar Michael Courtney Department of Chemistry and Physics, Western Carolina University Norm Althausen Lorain County Community College This article

More information

Speech Analysis for Automatic Speech Recognition

Speech Analysis for Automatic Speech Recognition Speech Analysis for Automatic Speech Recognition Noelia Alcaraz Meseguer Master of Science in Electronics Submission date: July 2009 Supervisor: Torbjørn Svendsen, IET Norwegian University of Science and

More information

R&S FSW signal and spectrum analyzer: best in class now up to 50 GHz

R&S FSW signal and spectrum analyzer: best in class now up to 50 GHz R&S FSW signal and spectrum analyzer: best in class now up to 50 GHz The new R&S FSW 43 and R&S FSW 50 signal and spectrum analyzers make the outstanding features of the R&S FSW family available now also

More information

230622 - DSAP - Digital Speech and Audio Processing

230622 - DSAP - Digital Speech and Audio Processing Coordinating unit: Teaching unit: Academic year: Degree: ECTS credits: 2015 230 - ETSETB - Barcelona School of Telecommunications Engineering 739 - TSC - Department of Signal Theory and Communications

More information

*For stability of the feedback loop, the differential gain must vary as

*For stability of the feedback loop, the differential gain must vary as ECE137a Lab project 3 You will first be designing and building an op-amp. The op-amp will then be configured as a narrow-band amplifier for amplification of voice signals in a public address system. Part

More information

AN1200.04. Application Note: FCC Regulations for ISM Band Devices: 902-928 MHz. FCC Regulations for ISM Band Devices: 902-928 MHz

AN1200.04. Application Note: FCC Regulations for ISM Band Devices: 902-928 MHz. FCC Regulations for ISM Band Devices: 902-928 MHz AN1200.04 Application Note: FCC Regulations for ISM Band Devices: Copyright Semtech 2006 1 of 15 www.semtech.com 1 Table of Contents 1 Table of Contents...2 1.1 Index of Figures...2 1.2 Index of Tables...2

More information

TCOM 370 NOTES 99-6 VOICE DIGITIZATION AND VOICE/DATA INTEGRATION

TCOM 370 NOTES 99-6 VOICE DIGITIZATION AND VOICE/DATA INTEGRATION TCOM 370 NOTES 99-6 VOICE DIGITIZATION AND VOICE/DATA INTEGRATION (Please read appropriate parts of Section 2.5.2 in book) 1. VOICE DIGITIZATION IN THE PSTN The frequencies contained in telephone-quality

More information

Tutorial about the VQR (Voice Quality Restoration) technology

Tutorial about the VQR (Voice Quality Restoration) technology Tutorial about the VQR (Voice Quality Restoration) technology Ing Oscar Bonello, Solidyne Fellow Audio Engineering Society, USA INTRODUCTION Telephone communications are the most widespread form of transport

More information

Use Data Budgets to Manage Large Acoustic Datasets

Use Data Budgets to Manage Large Acoustic Datasets Use Data Budgets to Manage Large Acoustic Datasets Introduction Efforts to understand the health of the ocean have increased significantly in the recent past. These efforts involve among other things,

More information

Wave Field Synthesis

Wave Field Synthesis Wave Field Synthesis Marije A.J. Baalman Institute for Audio Communication Technische Universität Berlin Wave Field Synthesis 10. Juli 2007 p. 1/26 Overview What is wave field synthesis? Possibilities

More information

AC 2012-5055: MULTIMEDIA SYSTEMS EDUCATION INNOVATIONS I: SPEECH

AC 2012-5055: MULTIMEDIA SYSTEMS EDUCATION INNOVATIONS I: SPEECH AC -555: MULTIMEDIA SYSTEMS EDUCATION INNOVATIONS I: SPEECH Prof. Tokunbo Ogunfunmi, Santa Clara University Tokunbo Ogunfunmi is the Associate Dean for Research and Faculty Development in the School of

More information

Reconfigurable Low Area Complexity Filter Bank Architecture for Software Defined Radio

Reconfigurable Low Area Complexity Filter Bank Architecture for Software Defined Radio Reconfigurable Low Area Complexity Filter Bank Architecture for Software Defined Radio 1 Anuradha S. Deshmukh, 2 Prof. M. N. Thakare, 3 Prof.G.D.Korde 1 M.Tech (VLSI) III rd sem Student, 2 Assistant Professor(Selection

More information

The Fundamentals of FFT-Based Audio Measurements in SmaartLive

The Fundamentals of FFT-Based Audio Measurements in SmaartLive The Fundamentals of FFT-Based Audio Measurements in SmaartLive Paul D. Henderson This article serves as summary of the Fast-Fourier Transform (FFT) analysis techniques implemented in t h e SIA -SmaartLive

More information

(Refer Slide Time: 2:10)

(Refer Slide Time: 2:10) Data Communications Prof. A. Pal Department of Computer Science & Engineering Indian Institute of Technology, Kharagpur Lecture-12 Multiplexer Applications-1 Hello and welcome to today s lecture on multiplexer

More information

WLAN Spectrum Analyzer Technology White Paper HUAWEI TECHNOLOGIES CO., LTD. Issue 01. Date 2013-05-10

WLAN Spectrum Analyzer Technology White Paper HUAWEI TECHNOLOGIES CO., LTD. Issue 01. Date 2013-05-10 WLAN Spectrum Analyzer Technology White Paper Issue 01 Date 2013-05-10 HUAWEI TECHNOLOGIES CO., LTD. 2013. All rights reserved. No part of this document may be reproduced or transmitted in any form or

More information