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- W2380849574 abstract "Speech feature parameter extraction is an very important part of the speech recognition system,especially in speech training and recognition.Mel frequency cepstrum coefficient(MFCC) is a common feature,It can analysis and process speech signal,remove redundant information in speech recognition,and gain important information which influence speech recognition.Owing to time-varying and chaotic characteristic of voice signal,a improved MFCC feature extraction method based on nonlinear stochastic resonance theory is proposed.By comparison results of two methods,it is proved that the improved one is practicable and more superior which provides a new direction of speech feature parameter extraction in speech recognition." @default.
- W2380849574 created "2016-06-24" @default.
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- W2380849574 date "2011-01-01" @default.
- W2380849574 modified "2023-09-23" @default.
- W2380849574 title "An Improved Method of MFCC Parameter Extraction in Speaker Recognition" @default.
- W2380849574 hasPublicationYear "2011" @default.
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