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A speech signal captured by a distant microphone is generally smeared by reverberation, which severely degrades automatic speaker recognition performance. To improve system performance, an effective and robust method is proposed to extract features for speech processing. In this paper, a room impulse response is presumed to comprise of three parts: a direct-path response, early reflections and late...
Speaker recognition has been developed into a relatively mature state over the past few decades through continuous research and development work. Existing methods typically use the robust features extracted from noise and reverberation free speech signals, and therefore can achieve high recognition accuracy only in idealised conditions. Excessive reverberation as often occurs in many real world applications...
Speaker recognition can be used as a security means to authenticate the speaker or as a forensic tool to determine who is likely to be the talker. For such critical applications, robustness or reliability of the system is crucial. In spite of the development and advancement in the field of speaker recognition, there are still many limitations and challenges. Amongst these, environment factors, in...
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