Malay speech recognition in normal and noise condition
作者： C. Y. Fook , M. Hariharan , Sazali Yaacob , Adom Ah
DOI: 10.1109/CSPA.2012.6194759
关键词:
摘要: Automatic speech recognition (ASR) is an area of research which deals with the by machine in several conditions. ASR performs well under restricted conditions (quiet environment), but performance degrades noisy environments. This paper presents a simple experiment using famous feature extraction method (LPC, LPCC and WLPCC) kNN classifier to investigate sensitivity Malay digits noise adding 5dB white Gaussian noise. There are four steps design develop system. They Digit syllable structure corpus, end-point detection processing, classification method. The highest average rates for Malays 96.22% that vectors were derived from LPCC. objective this shown occurrence during recognition.
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