Voice Biometrics: How does it work? Konstantin Simonchik

Similar documents
Traffic Flow Analysis (2)

IBM Healthcare Home Care Monitoring

Data warehouse on Manpower Employment for Decision Support System

ENVIRONMENT FOR SIGNAL PROCESSING APPLICATIONS DEVELOPMENT AND PROTOTYPING Brigitte SAGET, MBDA

A Project Management framework for Software Implementation Planning and Management

FACULTY SALARIES FALL NKU CUPA Data Compared To Published National Data

Category 7: Employee Commuting

Probabilistic maintenance and asset management on moveable storm surge barriers

Whole Systems Approach to CO 2 Capture, Transport and Storage

Practical Embedded Systems Engineering Syllabus for Graduate Students with Multidisciplinary Backgrounds

Product Overview. Version 1-12/14

QUANTITATIVE METHODS CLASSES WEEK SEVEN

Review and Analysis of Cloud Computing Quality of Experience

Siemens IT Solutions and Services Pvt. Ltd.

ITIL & Service Predictability/Modeling Plexent

Vector Network Analyzer

Meerkats: A Power-Aware, Self-Managing Wireless Camera Network for Wide Area Monitoring

Natural Gas & Electricity Prices

The example is taken from Sect. 1.2 of Vol. 1 of the CPN book.

Abstract. Introduction. Statistical Approach for Analyzing Cell Phone Handoff Behavior. Volume 3, Issue 1, 2009

Analyzing Failures of a Semi-Structured Supercomputer Log File Efficiently by Using PIG on Hadoop

YouthWorks Youth Works (yüth- w rkz), n.

Planning and Managing Copper Cable Maintenance through Cost- Benefit Modeling

a m e s y s AMESYS INTELLIGENCE SOLUTIONS C RITIC A L SYSTEM ARCHITEC T SERVICES PROVIDED C O N T A C T S

Entity-Relationship Model

Sample Green Belt Certification Examination Questions with Answers

GOAL SETTING AND PERSONAL MISSION STATEMENT

DENTAL CAD MADE IN GERMANY MODULAR ARCHITECTURE BACKWARD PLANNING CUTBACK FUNCTION BIOARTICULATOR INTUITIVE USAGE OPEN INTERFACE.

TELL YOUR STORY WITH MYNEWSDESK The world's leading all-in-one brand newsroom and multimedia PR platform

Noise Power Ratio (NPR) A 65-Year Old Telephone System Specification Finds New Life in Modern Wireless Applications.

by John Donald, Lecturer, School of Accounting, Economics and Finance, Deakin University, Australia

Parallel and Distributed Programming. Performance Metrics

Incorporating Statistical Process Control and Statistical Quality Control Techniques into a Quality Assurance Program

A Secure Web Services for Location Based Services in Wireless Networks*

AP Calculus AB 2008 Scoring Guidelines

WORKERS' COMPENSATION ANALYST, 1774 SENIOR WORKERS' COMPENSATION ANALYST, 1769

SOFTWARE ENGINEERING AND APPLIED CRYPTOGRAPHY IN CLOUD COMPUTING AND BIG DATA

Fleet vehicles opportunities for carbon management

EVALUATING EFFICIENCY OF SERVICE SUPPLY CHAIN USING DEA (CASE STUDY: AIR AGENCY)

EFFECT OF GEOMETRICAL PARAMETERS ON HEAT TRANSFER PERFORMACE OF RECTANGULAR CIRCUMFERENTIAL FINS

Asset set Liability Management for

Advances in GNSS Equipment

An Adaptive Clustering MAP Algorithm to Filter Speckle in Multilook SAR Images

Architecture of the proposed standard

REPORT' Meeting Date: April 19,201 2 Audit Committee

User-Perceived Quality of Service in Hybrid Broadcast and Telecommunication Networks

I would appreciate the opportunity to discuss your needs and how I can help you meet your goals.

embedded e e in numbers, facts and figures

CARE QUALITY COMMISSION ESSENTIAL STANDARDS OF QUALITY AND SAFETY. Outcome 10 Regulation 11 Safety and Suitability of Premises

Maintain Your F5 Solution with Fast, Reliable Support

Category 1: Purchased Goods and Services

Job Description. Programme Leader & Subject Matter Expert

Important Information Call Through... 8 Internet Telephony... 6 two PBX systems Internet Calls... 3 Internet Telephony... 2

Have Debit Cards Changed Thai Consumer Shopping Behavior?

A Theoretical Model of Public Response to the Homeland Security Advisory System

UTILITY SOLUTIONS. Security & Site Monitoring. Substation Automation Solutions. Protection & Control Systems. Optical Communication Networks

Contents. Presentation contents: Basic EDI dataflow in Russia. eaccounting for HR and Payroll. eaccounting in a Cloud

Government Spending or Tax Cuts for Education in Taylor County, Texas

Key Management System Framework for Cloud Storage Singa Suparman, Eng Pin Kwang Temasek Polytechnic

From Access to Education, Health and Innovation

Engineering Analytics Opportunity Preview Zinnov Report August 2013

Developing Software Bug Prediction Models Using Various Software Metrics as the Bug Indicators

Use a high-level conceptual data model (ER Model). Identify objects of interest (entities) and relationships between these objects

Nimble Storage Exchange ,000-Mailbox Resiliency Storage Solution

Policies for Simultaneous Estimation and Optimization

Increasing Net Debt as a percentage of Average Equalized ValuaOon

A Loadable Task Execution Recorder for Hierarchical Scheduling in Linux

How To Be A Successful Artist

ESA Support to ESTB Users

An Broad outline of Redundant Array of Inexpensive Disks Shaifali Shrivastava 1 Department of Computer Science and Engineering AITR, Indore

Where design facilitates health to lead innovation

Lecture 3: Diffusion: Fick s first law

ITCS Information Technology Computing Services

Higher order mode damping considerations for the SPL cavities at CERN

How To Fund A Farm In Colombia

European Journal of Business and Management ISSN (Paper) ISSN (Online) Vol 4, No.6, 2012

New Basis Functions. Section 8. Complex Fourier Series

5 2 index. e e. Prime numbers. Prime factors and factor trees. Powers. worked example 10. base. power

Payment Hub Project A Worldwide Electronic Banking System,

Rural and Remote Broadband Access: Issues and Solutions in Australia

Examining the effectiveness of the advertisements of Maskan Bank of Hormozgan by use of AIDA model

CLOUD COMPUTING BUSINESS MODELS

Keywords: Knowledge Management Foundations, Probst et al., Model, Knowledge Management, Albroz Electric Power Distribution Companies

Managing Risk with Composite Information Systems

Foreign Exchange Markets and Exchange Rates

Cost Benefit Analysis of the etir system Summary, limitations and recommendations

Intermediate Macroeconomic Theory / Macroeconomic Analysis (ECON 3560/5040) Final Exam (Answers)

Cisco Data Virtualization

Modeling Motorcycle Accident on Rural Highway

Lecture notes: 160B revised 9/28/06 Lecture 1: Exchange Rates and the Foreign Exchange Market FT chapter 13

Hardware Modules of the RSA Algorithm

Remember you can apply online. It s quick and easy. Go to Title. Forename(s) Surname. Sex. Male Date of birth D

Hi-trac Luminaire LED

Development of Financial Management Reporting in MPLS

C H A P T E R 1 Writing Reports with SAS

1754 IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, VOL. 6, NO. 5, MAY 2007

Surface wave accelerator based on silicon carbide (SWABSiC)

Transcription:

Voic Biomtrics: How dos it work? Konstantin Simonchik Lappnranta, 4 Octobr 2012

Voicprint Makup Fingrprint Facprint Lik a ingrprint or acprint, a voicprint also has availabl paramtrs that provid uniqu inormation about a prson. Ths paramtrs ar individual to ach prson, and can provid vry usul inormation about th prson s idntity. Voicprint 2

Spakr Rcognition Tasks Idntiication Whos voic is this? Vriication Is this Bob s voic? Closd or Opn St Conditions Txt indpndnt mod Convrsational styl Tlphon/microphon channl Languag indpndnt 3

Ky Challngs o Voic Channl cts Microphons (carbon-button, lctrt, hands-r ) Acoustic Environmnt (oic, car, airport ) Transmission Channl (landlin, cllular, VoIP ) Spakr voic variability Emotional stat Physical condition (drugs, alcohol ) Illnss Amount o spch Elimination o pauss and non-spch sgmnts Non-Challngs Languag Accnts Supricial voic disguis 4

Spakr Rcognition Systm 1-1 Voic Modls 1, 2,,N 1 2 3 N Spch Spakr #2 Spakr Rcognition Systm «Accpt» or «Rjct» Accpt 5

Spakr Rcognition Systm 1-N Voic Modls 1, 2,,N 1 2 3 N Spch Spakr Rcognition Systm «Spakr ID» or «No Match» Spakr #2 6

Prormanc Masurs FRR/FAR Plot EER Thrshold FRR - Fals Rjction Rat FAR - Fals Accptanc Rat EER - Equal Error Rat DCF - Dtction Cost Function Exampl: DCF = FRR + 999 FAR (NIST SRE 2010) 7

Pitch Basd Mthod Pitch (or Fundamntal Frquncy) - th rlativ highnss or lownss o a ton as prcivd by th ar, which dpnds on th numbr o vibrations pr scond producd by th vocal cords. 170 Hz 110 Hz An xampl o automatd pitch xtraction in th phras Fornsic audio pronouncd by two dirnt prsons is shown in th pictur 8

Simpl Pitch Basd SR Systm Pitch xtraction Etalon E 1 2... N Pitch statistics stimation Comparison o Etalon and Tst statistics s1 s2 S... s N Distanc N i1 - Pitch mdian - Pitch man - Pitch min - tc wight i ( s i ) i 2 Etalons Databas Dcision: Accpt/Rjct 9

Spctral-ormant Mthod Formants - acoustic rsonancs o th human vocal tract Spctral-ormant mthod (SFM) is basd on th uniqu shap o ach prson s vocal tract which is rlctd in th visibl spch o dirnt popl. An xampl o ormant rprsntation o th phras Fornsic audio pronouncd by two dirnt prsons is shown in th pictur (Th horizontal axis is tim in sconds. Th vrtical axis is rquncy in Hrtz. Enrgy lvl is dpictd by th darknss o th trac). 10

11 Simpl Formant Basd SR Systm Formants statistics stimation Comparison o Etalon and Tst statistics Dcision: Accpt/Rjct Formants xtraction Etalons Databas 4 3 2 1 24 23 22 21 14 13 12 11.. M M M M E Etalon 4 3 2 1 24 23 22 21 14 13 12 11.. N N N N F N i i j i T i j i W Distanc 1 ) ( ) ( ) ( ) (

GMM Basd Mthods In th GMM approach Gaussian mixturs ar usd to approximat statistical distributions o spch charactristics paramtrs. Fatur xtraction - MFCC / LFCC / PLP / tc GMM stimation - MAP adaptation S M Channl compnsation - Joint Factor Analysis - LDA / PLDA C Classiication Dcision: Accpt/Rjct - SVM - ANN 12

Fusion o SR Mthods Fusion schma Spakr Idntiication Systm Mthod #1 Spch Mthod #2 Fusion Dcision Mthod #3 Pitch basd mthod EER= 15% Spctral-ormant mthod Fusion EER= 10% EER= 2% GMM basd mthod EER= 3% 13

NIST Spakr Rcognition Evaluation NIST SRE is a world s lading valuation in th ild o txt indpndnt spakr rcognition. Evry two yars it gathrs lading rsarchrs, univrsitis and companis rom all ovr th world. Th main objctiv o th valuations is to driv th tchnology orward, to masur th stat-o-th-art, and to ind th most promising algorithmic approachs. - Spch databass providd by LDC - Mtric: DCF = FR + 999 FA 14

NIST SRE 2010 Participation 15

NIST SRE 2010 Participation 16

ABOUT COMPANY Spch Tchnology Cntr Spch Tchnology Cntr (STC) is an intrnational ladr in spch tchnology and multimodal biomtrics. It has ovr 20 yars o rsarch, dvlopmnt and implmntation xprinc in Russia and intrnationally. STC is lading global providr o innovativ systms in high-quality rcording, audio and vido procssing and analysis, nois cancllation, spch synthsis and rcognition, and ral-tim, high-accuracy voic and acial biomtrics solutions. STC innovations ar usd in both public and commrcial sctors, rom small xprt laboratoris, to larg, distributd contact cntrs, to nation-wid scurity systms. CONTACTS Russia 4 Krasutskogo strt, St. Ptrsburg, 196084 Tl.: +7 812 331 0665 Fax: +7 812 327 9297 Email: stc-spb@spchpro.com STC is ISO-9001: 2008 crtiid. STC is opn to commrcial and R&D coopration! 17

Спасибо за внимание! Thank you or your attntion! 18