This paper addresses the problem of text-independent speaker verification in the presence of unreliable (masked by noise) fea-tures.
Integration and imputation methods for unreliable feature compensation in GMM based speaker verification · A. Drygajlo, M. El-Maliki · Published in The Speaker ...
Speaker Recognition. •Speaker Identification: Identify a speaker from N others. •Speaker verification: Determine if the claimed identity corresponds to the ...
Sep 19, 2024 · Integration and imputation methods for unreliable feature compensation in GMM based speaker verification. Odyssey 2001: 107-112. [+][–]. 1990 ...
[3]Drygajlo, Andrzej / El-Maliki, Mounir (2001): "Integration and imputation methods for unreliable feature compensation in GMM based speaker verification", In ...
Jun 24, 2003 · In this paper, we provide a new approach in the design of robust speaker verification in noisy environments using some principles based on ...
Oct 22, 2024 · The GMM means are used to replace the unreliable features. The GMM based technique is less complex than the correspon-. ding HMM based ...
We present an automatic speech recognition system that uses a missing data approach to compensate for challenging environmental noise.
Missing: verification. | Show results with:verification.
In this paper, we pro- pose a new paradigm for robust speaker veri cation based on the missing data theory and the generalized spectral subtraction speech ...
Apr 17, 2021 · The performance of the traditional cepstral features and channel compensation methods was compared for speaker identification [19]. The ...