Physiologically-Motivated Synchrony-Based Processing for Robust Automatic Speech Recognition
作者： Chanwoo Kim , Yu-Hsiang Bosco Chiu , Richard M. Stern
DOI:
关键词: Computer science 、 Neurocomputational speech processing 、 Signal processing 、 Speech processing 、 Mechanism (biology) 、 Speech recognition 、 Voice activity detection 、 Transient noise 、 Auditory system
摘要: This paper describes the structure and performance of a new signal processing scheme, motivated by physiology peripheral auditory system, that improves speech recognition accuracy in presence broadband noise. An important attribute is novel mechanism to represent cycle-by-cycle synchrony response low-frequency auditory-nerve fibers, addition more conventional based on mean rate response. It shown use physiologically-motivated both transient noise, provides further improvement beyond which provided mechanism. Index Terms: modeling, robust recognition, snchrony.
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