Better analysis for automatic speech recognition

Douglas O'Shaughnessy

Abstract


An efficient automatic speech recognition (ASR) analysis method was studied. An ideal robust ASR should decode speech from all speakers of a language and with different microphones and transmission channels. Various advantages of this method are: it is an automatic and effcient method; actual ASR results that appear to be better than with some other methods extensively examined in the past like basic linear predictive coding (LPC) or a filter bank.

Keywords


Acoustics; Fast Fourier transforms; Matrix algebra; Microphones; Automatic speech recognition (ASR)

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