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In this paper, we investigate the effect of the G.723.1 (6.3kbps) on speaker recognition system. In order to improve the robustness of codec mismatch, we used the Power Normalized Cepstral Coefficients (PNCC) which is a new robustness acoustic feature, to improve the performance of speaker verification system. And a modified SCF speech feature is propose to improve the robustness under codec mismatch...
To alleviate the problem of severe degradation of speaker recognition performance under noisy environments because of inadequate and inaccurate speaker-discriminative information, a method of robust feature estimation that can capture both vocal source- and vocal tract-related characteristics from noisy speech utterances is proposed. Spectral subtraction, a simple yet useful speech enhancement technique,...
Phase information provide useful acoustic cue for identifying individual speakers. Speaker verification employing the instantaneous phase-related features that perform well in clean or matched noise/channel conditions degrades dramatically when encounter unexpected communication environments. These adverse effects can distort the short-term distributions of the speaker parameters. It is observed that...
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