Results 261 to 270 of about 11,913 (306)

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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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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Predictive models for speaker verification

Speech Communication, 1993
Abstract This paper outlines four novel methods for the task of speaker verification. The first model, a Hybrid Multi-Layer Perception (MLP)-Radial Basis Function (RBF) model, is an MLP predictor whose weights are then used as inputs to an RBF classifier for the verification process.
Eliathamby Ambikairajah, M. Keane, A. Kelly, Liam Kilmartin, Graham Tattersall   +4 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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Speaker verification for multimedia application

2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583), 2005
In this paper the possibilities of modern speaker verification systems have been described. One of the most important tasks is a proper definition of feature vectors. The long-term spectra vector has been chosen as the background for text-independent verification system.
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A FUZZY APPROACH TO SPEAKER VERIFICATION

International Journal of Pattern Recognition and Artificial Intelligence, 2002
This paper proposes a fuzzy approach to speaker verification. For an input utterance and a claimed identity, most of the current methods compute a claimed speaker's score, which is the ratio of the claimed speaker's and the impostors' likelihood functions, and compare this score with a given threshold to accept or reject this speaker.
Dat Tran 0001, Michael Wagner 0004
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