Results 1 - 10 of 4,854

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

Multilateral techniques for speaker recognition

by Eluned S. Parris, Michael J. Carey - International Conference on Spoken Language Processing (ICSLP , 1998
"... Speaker recognition is usually accomplished by building a set of models from speech of a known speaker, training data, and subsequently using a pattern matching algorithm to score the speech from an unknown speaker, test data. In this paper we discard the notion of train and test data in speaker rec ..."
Abstract - Cited by 2 (0 self) - Add to MetaCart
Speaker recognition is usually accomplished by building a set of models from speech of a known speaker, training data, and subsequently using a pattern matching algorithm to score the speech from an unknown speaker, test data. In this paper we discard the notion of train and test data in speaker

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

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

The CSLU Speaker Recognition Corpus

by Ronald Cole, Mike Noel, Victoria Noel - In Proceedings of the International Conference on Spoken Language Processing , 1998
"... This paper describes the CSLU Speaker Recognition Corpus data collection. The corpus was motivated by a need for speech data from many speakers, under different environmental conditions, with each speaker providing data over a significant period of time. The corpus was designed to provide sufficient ..."
Abstract - Cited by 13 (0 self) - Add to MetaCart
This paper describes the CSLU Speaker Recognition Corpus data collection. The corpus was motivated by a need for speech data from many speakers, under different environmental conditions, with each speaker providing data over a significant period of time. The corpus was designed to provide
Results 1 - 10 of 4,854