WO2002103680A3 - Speaker recognition system ____________________________________ - Google Patents

Speaker recognition system ____________________________________ Download PDF

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Publication number
WO2002103680A3
WO2002103680A3 PCT/GB2002/002726 GB0202726W WO02103680A3 WO 2002103680 A3 WO2002103680 A3 WO 2002103680A3 GB 0202726 W GB0202726 W GB 0202726W WO 02103680 A3 WO02103680 A3 WO 02103680A3
Authority
WO
WIPO (PCT)
Prior art keywords
sample
speech
enrolled
cohort
frames
Prior art date
Application number
PCT/GB2002/002726
Other languages
French (fr)
Other versions
WO2002103680A2 (en
Inventor
Andrew Thomas Sapeluk
Original Assignee
Securivox Ltd
Andrew Thomas Sapeluk
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Priority claimed from GBGB0114866.7A external-priority patent/GB0114866D0/en
Application filed by Securivox Ltd, Andrew Thomas Sapeluk filed Critical Securivox Ltd
Priority to US10/481,523 priority Critical patent/US20040236573A1/en
Priority to EP02738369A priority patent/EP1399915B1/en
Priority to CA002451401A priority patent/CA2451401A1/en
Priority to AU2002311452A priority patent/AU2002311452B2/en
Priority to DE60231617T priority patent/DE60231617D1/en
Priority to KR1020037016649A priority patent/KR100917419B1/en
Publication of WO2002103680A2 publication Critical patent/WO2002103680A2/en
Publication of WO2002103680A3 publication Critical patent/WO2002103680A3/en

Links

Classifications

    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L17/00Speaker identification or verification
    • G10L17/02Preprocessing operations, e.g. segment selection; Pattern representation or modelling, e.g. based on linear discriminant analysis [LDA] or principal components; Feature selection or extraction
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L17/00Speaker identification or verification
    • G10L17/06Decision making techniques; Pattern matching strategies
    • G10L17/12Score normalisation
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L17/00Speaker identification or verification
    • G10L17/20Pattern transformations or operations aimed at increasing system robustness, e.g. against channel noise or different working conditions

Abstract

Speaker recognition (identification and/or verification) methods and systems, in which speech models for enrolled speakers consist of sets of feature vectors representing the smoothed frequency spectrum of each of a plurality of frames and a clustering algorithm is applied to the feature vectors of the frames to obtain a reduced data set representing the original speech sample, and wherein the adjacent frames are overlapped by at least 80 %. Speech models of this type model the static components of the speech sample and exhibit temporal independence. An identifier strategy is employed in which modelling and classification processes are selected to give a false rejection rate substantially equal to zero. Each enrolled speaker is associated with a cohort of a predetermined number of other enrolled speakers and a test sample is always matched with either the claimed identity or one of its associated cohort. This makes the overall error rate of the system dependent only on the false acceptance rate, which is determined by the cohort size. The false error rate is further reduced by use of multiple parallel modelling and/or classification processes. Speech models are normalised prior to classification using a normalisation model derived from either the test speech sample or one of the enrolled speaker samples (most preferably from the claimed identity enrolment sample).
PCT/GB2002/002726 2001-06-19 2002-06-13 Speaker recognition system ____________________________________ WO2002103680A2 (en)

Priority Applications (6)

Application Number Priority Date Filing Date Title
US10/481,523 US20040236573A1 (en) 2001-06-19 2002-06-13 Speaker recognition systems
EP02738369A EP1399915B1 (en) 2001-06-19 2002-06-13 Speaker verification
CA002451401A CA2451401A1 (en) 2001-06-19 2002-06-13 Speaker recognition system
AU2002311452A AU2002311452B2 (en) 2001-06-19 2002-06-13 Speaker recognition system
DE60231617T DE60231617D1 (en) 2001-06-19 2002-06-13 SPEAKER VERIFICATION
KR1020037016649A KR100917419B1 (en) 2001-06-19 2002-06-13 Speaker recognition systems

Applications Claiming Priority (4)

Application Number Priority Date Filing Date Title
GBGB0114866.7A GB0114866D0 (en) 2001-06-19 2001-06-19 Speaker recognition systems
GB0114866.7 2001-06-19
US30250101P 2001-07-02 2001-07-02
US60/302,501 2001-07-02

Publications (2)

Publication Number Publication Date
WO2002103680A2 WO2002103680A2 (en) 2002-12-27
WO2002103680A3 true WO2002103680A3 (en) 2003-03-13

Family

ID=26246204

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/GB2002/002726 WO2002103680A2 (en) 2001-06-19 2002-06-13 Speaker recognition system ____________________________________

Country Status (8)

Country Link
US (1) US20040236573A1 (en)
EP (1) EP1399915B1 (en)
CN (1) CN100377209C (en)
AT (1) ATE426234T1 (en)
AU (1) AU2002311452B2 (en)
CA (1) CA2451401A1 (en)
DE (1) DE60231617D1 (en)
WO (1) WO2002103680A2 (en)

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Also Published As

Publication number Publication date
EP1399915B1 (en) 2009-03-18
CN100377209C (en) 2008-03-26
WO2002103680A2 (en) 2002-12-27
CA2451401A1 (en) 2002-12-27
ATE426234T1 (en) 2009-04-15
US20040236573A1 (en) 2004-11-25
AU2002311452B2 (en) 2008-06-19
DE60231617D1 (en) 2009-04-30
EP1399915A2 (en) 2004-03-24
CN1543641A (en) 2004-11-03

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