Evaluation and Improvement of a Speaker Verification System in Military Environments
نویسندگان
چکیده
منابع مشابه
Using Exciting and Spectral Envelope Information and Matrix Quantization for Improvement of the Speaker Verification Systems
Speaker verification from talking a few words of sentences has many applications. Many methods as DTW, HMM, VQ and MQ can be used for speaker verification. We applied MQ for its precise, reliable and robust performance with computational simplicity. We also used pitch frequency and log gain contour for further improvement of the system performance.
متن کاملUsing Exciting and Spectral Envelope Information and Matrix Quantization for Improvement of the Speaker Verification Systems
Speaker verification from talking a few words of sentences has many applications. Many methods as DTW, HMM, VQ and MQ can be used for speaker verification. We applied MQ for its precise, reliable and robust performance with computational simplicity. We also used pitch frequency and log gain contour for further improvement of the system performance.
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Absfrm-Noise robustness of automatic speaker verification systems is crucial in real life applications. A study on the performance of several spectral subtraction-based speech enhancement techniques shows the poor performance of these algorithms when used as a preprocessing stage of the speaker verification system in the presence of colored noise. In this paper, a new technique based on the add...
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As a part of our preparation for the 2004 NIST Speaker Recognition Evaluation, we evaluated the practical usefulness of five feature ranking and selection methods. Seeking for improvement of the overall performance of our speaker verification system, WCL-1, we studied the relevance and contribution of the individual speech parameters. Furthermore, the choice of an appropriate dimensionality of ...
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We describe a voice activity detection algorithm which leads to significant improvement of a narrow-bandwidth speaker verification system under harsh environments. This algorithm is based on a time-scale feature which is extracted from wavelet subbands. A statistical quantile filtering technique is proposed to estimate an adaptive noise threshold. A hang-over scheme is then applied to bridge sh...
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تاریخ انتشار 2003