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Speaker recognition: A tutorial

by Joseph P. Campbell, Jr.
"... A tutorial on the design and development of automatic speaker-recognition systems is presented. Automatic speaker recognition is the use of a machine to recognize a person from a spoken phrase. These systems can operate in two modes: to identify a particular person or to verify a person’s claimed id ..."
Abstract - Cited by 269 (2 self) - Add to MetaCart
A tutorial on the design and development of automatic speaker-recognition systems is presented. Automatic speaker recognition is the use of a machine to recognize a person from a spoken phrase. These systems can operate in two modes: to identify a particular person or to verify a person’s claimed

Speaker recognition

by Sadaoki Furui - in Digital Speech Processing, Synthesis, and Recognition , 1989
"... Speaker recognition, which can be classified into identification and verification, is the process of automatically recognizing who is speaking on the basis of individual information included in speech waves. This technique makes it possible to use the speaker’s voice to verify their identity and con ..."
Abstract - Cited by 9 (0 self) - Add to MetaCart
Speaker recognition, which can be classified into identification and verification, is the process of automatically recognizing who is speaking on the basis of individual information included in speech waves. This technique makes it possible to use the speaker’s voice to verify their identity

Speaker Recognition:

by Using Vector Quantization, Dm W. R. Dilon, Goldstein M. Multivariate Analysis, Gg Allen Gersho, Ghm John J. Godfrey, Edward C. Holliman, Jane Mcdaniel, Lbg Yoseph Linde, Andres Buzo
"... In this paper we propose a particular use of the Vector Quantization technique for Speaker Identification. A representative set of codebooks is created for eachspeaker and is then used as characteristical reference to discriminate among speakers. The experiments conducted with 20 speakers (10 fe ..."
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In this paper we propose a particular use of the Vector Quantization technique for Speaker Identification. A representative set of codebooks is created for eachspeaker and is then used as characteristical reference to discriminate among speakers. The experiments conducted with 20 speakers (10

Speaker Recognition

by Ling Feng , 2004
"... ..."
Abstract - Cited by 2 (0 self) - Add to MetaCart
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Graph embedding for speaker recognition

by Z. N. Karam, W. M. Campbell - in Proc. Interspeech, 2010
"... This chapter presents applications of graph embedding to the problem of text-independent speaker recognition. Speaker recognition is a general term encompass-ing multiple applications. At the core is the problem of speaker comparison—given two speech recordings (utterances), produce a score which me ..."
Abstract - Cited by 28 (6 self) - Add to MetaCart
This chapter presents applications of graph embedding to the problem of text-independent speaker recognition. Speaker recognition is a general term encompass-ing multiple applications. At the core is the problem of speaker comparison—given two speech recordings (utterances), produce a score which

Fusion of heterogeneous speaker recognition systems

by Niko Brümmer, Jan “honza Černock´y Member, Member Ieee, Albert Strasheim - in the STBU submission for the NIST speaker recognition evaluation 2006,” IEEE Transactions on Audio, Speech and Signal Processing , 2007
"... Abstract—This paper describes and discusses the ‘STBU’ speaker recognition system, which performed well in the NIST Speaker Recognition Evaluation 2006 (SRE). STBU is a consortium ..."
Abstract - Cited by 63 (14 self) - Add to MetaCart
Abstract—This paper describes and discusses the ‘STBU’ speaker recognition system, which performed well in the NIST Speaker Recognition Evaluation 2006 (SRE). STBU is a consortium

Application of LDA to Speaker Recognition

by Qin Jin, Alex Waibel - In Proc. of the ICSLP-00 , 2000
"... The speaker recognition task falls under the general problem of pattern classification. Speaker recognition as a pattern classification problem, its ultimate objective is design of a system that classifies the vector of features in different classes by partitioning the feature space into optimal spe ..."
Abstract - Cited by 7 (0 self) - Add to MetaCart
The speaker recognition task falls under the general problem of pattern classification. Speaker recognition as a pattern classification problem, its ultimate objective is design of a system that classifies the vector of features in different classes by partitioning the feature space into optimal

Virtual Fusion for Speaker Recognition

by Yosef A. Solewicz
"... This paper presents a simplified post-classification framework for enhancing the performance of a given speaker recognition classifier by means of other “auxiliary ” classifiers. We call it Virtual Fusion, since the assisting classifiers are used only for training the post-classifier and are not nec ..."
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This paper presents a simplified post-classification framework for enhancing the performance of a given speaker recognition classifier by means of other “auxiliary ” classifiers. We call it Virtual Fusion, since the assisting classifiers are used only for training the post

Speaker Recognition Models

by Kin Yu, John Mason, John Oglesby
"... This paper evaluates continuous density hidden Markov models (CDHMM), dynamic time warping (DTW) and distortion-based vector quantisation (VQ) for speaker recognition, across incremental amounts of training data. In comparing VQ and CDHMMs for text-independent (TI) speaker recognition, it is shown t ..."
Abstract - Cited by 1 (0 self) - Add to MetaCart
This paper evaluates continuous density hidden Markov models (CDHMM), dynamic time warping (DTW) and distortion-based vector quantisation (VQ) for speaker recognition, across incremental amounts of training data. In comparing VQ and CDHMMs for text-independent (TI) speaker recognition, it is shown

Speaker Recognition Evaluation Chronicles

by Mark Przybocki, Alvin Martin - Proc. Odyssey 2004, The Speaker and Language Recognition Workshop , 2004
"... NIST has coordinated annual evaluations of textindependent speaker recognition since 1996. During the course of this series of evaluations there have been notable milestones related to the development of the evaluation paradigm and the performance achievements of state-of-the-art systems. We documen ..."
Abstract - Cited by 35 (2 self) - Add to MetaCart
NIST has coordinated annual evaluations of textindependent speaker recognition since 1996. During the course of this series of evaluations there have been notable milestones related to the development of the evaluation paradigm and the performance achievements of state-of-the-art systems. We
Results 1 - 10 of 83,756