A Review of Feature Extraction Technique for Automatic Speech RecognitionJournal: International Journal of Science and Research (IJSR) (Vol.4, No. 2)
Publication Date: 2015-02-05
Authors : Sandeep Joshi; Parag Parandkar;
Page : 435-440
Keywords : ASR; Mel frequency; Cepstrum coefficient; feature & vector space; distance measurement;
Speech recognition is a multileveled pattern recognition task, in which acoustical signals are examined and structured into a hierarchy of subword units (e. g. , phonemes), words, phrases, and sentences. Each level may provide additional temporal constraints, e. g. , known word pronunciations or legal word sequences, which can compensate for errors or uncertainties at lower levels. This hierarchy of constraints can best be exploited by combining decisions probabilistically at all lower levels, and making discrete decisions only at the highest level. .
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