Results 141 to 150 of about 756,236 (193)

Effective speaker adaptations for speaker verification

2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100), 2002
This paper concerns effective speaker adaptation methods to solve the over-training problem in speaker verification, which frequently occurs when modeling a speaker with sparse training data. While various speaker adaptations have already been applied to speech recognition, these methods have not yet been formally considered in speaker verification ...
Sungjoo Ahn, Sunmee Kang, Hanseok Ko
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Speaker verification by inexperienced and experienced listeners vs. speaker verification system

2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2011
This paper describes the participation of the LIA in the Human Assisted Speaker Recognition (HASR) task of the NIST-SRE 2010 evaluation campaign and its extension to a larger number of listeners. The human performance in such unfavorable conditions is analyzed in relation to the decision of a speaker recognition automatic system.
Juliette Kahn, Nicolas Audibert, Solange Rossato, Jean-François Bonastre   +3 more
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Disentangling speaker and channel effects in speaker verification

2004 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2004
We show how a joint factor analysis of inter-speaker and intra-speaker variability in a training database which contains multiple recordings for each speaker can be used to construct likelihood ratio statistics for speaker verification which take account of intra-speaker variation and channel variation in a principled way.
Patrick Kenny, Pierre Dumouchel
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Speaker verification without background speaker models

2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)., 2003
Speaker verification concerns the problem of verifying whether a given utterance has been pronounced by a claimed authorized speaker. This problem is important because an accurate speaker verification system can be applied to many security applications. We present a new algorithm for speaker verification called OSCILLO.
Chun-Nan Hsu, Hau-Chung Yu, Bo-Hou Yang
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Improvement of Speaker Vector-Based Speaker Verification

2009 Fifth International Conference on Information Assurance and Security, 2009
This paper describes the improvement in the performance of a text-independent speaker verification based on a speaker vector. The verification system is based on the technique of anchor models. In our previous work, the performance improvement could be obtained by using phonetic-based models instead of Gaussian mixture models (GMMs) in speaker ...
Naoki Tadokoro, Tetsuo Kosaka, Masaharu Katoh, Masaki Kohda   +3 more
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Phoneme based speaker verification

[Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing, 1992
Text-independent speaker verification systems typically depend upon averaging over a long utterance to obtain a feature set for classification. However, not all speech is equally suited to the task of speaker verification. An approach to text-independent speaker verification that uses a two-stage classifier is presented.
Michael I. Savic, Jeffrey Sorensen
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Pattern recognition in speaker verification

Proceedings of the November 18-20, 1969, fall joint computer conference on - AFIPS '69 (Fall), 1969
There are many ways in which a pattern recognition system may be implemented. In the specific problem of speaker verification, a two-class recognition scheme is of interest. A speaker who desired verification of his identity based upon some previously stored characteristics of his speech represents one of the two classes (real), whereas the other class
S. K. Das, W. S. Mohn
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Robust Speaker Identification and Verification

IEEE Computational Intelligence Magazine, 2007
Acoustic characteristics have played an essential role in biometrics. In this article, we introduce a robust, text-independent speaker identification/verification system. This system is mainly based on a subspace-based enhancement technique and probabilistic support vector machines (SVMs).
Jia-Ching Wang, Chung-Hsien Yang, Jhing-Fa Wang, Hsiao Ping Lee   +3 more
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Lightweight Embeddings for Speaker Verification

2018
This paper presents speaker verification (SV) system using deep neural networks with hash representations (binarization) of embeddings. The training procedure is performed on NIST SRE train set, verification is performed on the same corpus with test set. The system architecture is based on deep recurrent layers with attention mechanism.
Maxim Tkachenko, Alexander Yamshinin, Mikhail Kotov, Marina Nastasenko   +3 more
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A novel approach to speaker verification

[Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing, 1991
The authors report on a novel method for telephone-based speaker verification. In this method, K-means clustering is used during training for robust speaker reference templates. The classification is made through the use of the Fourier-Bessel functions, which transform the original problem to a multidimensional detection problem.
Dimitrios A. Gaganelis, Eleftherios D. Frangoulis   +1 more
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