One major source of performance decline in speaker recognition system is channel mismatch between training and testing. This paper focuses on improving channel robustness of speake...
Noisy or distorted video/audio training sets represent constant challenges in automated identification and verification tasks. We propose the method of Mutual Interdependence An...
Speaker identification and verification systems have a poor performance when model training is done in one language while the testing is done in another. This situation is not unu...
We propose a novel feature set for speaker recognition that is based on the voice source signal. The feature extraction process uses closed-phase LPC analysis to estimate the voca...
In hands-free communications, speech received by a microphone is distorted by room reverberation that can reduce the intelligibility of speech. An approach to dereverberation is ...
Wancheng Zhang, Emanuel A. P. Habets, Patrick A. N...