Employing Linear Prediction Coding in Feature Time Sequences for Robust Speech Recognition in Noisy Environments
نویسندگان
چکیده
In this paper, we present a novel method to extract noise-robust speech feature representation in speech recognition. This method employs the algorithm of linear predictive coding (LPC) on the feature time series of mel-frequency cepstral coefficients (MFCC). The resulting linear predictive version of the feature time 國立暨南國際大學電機工程學系 Department of Electrical Engineering, National Chi Nan University E-mail: { s99323904; s100323553}@mail1.ncnu.edu.tw; [email protected]
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عنوان ژورنال:
- IJCLCLP
دوره 18 شماره
صفحات -
تاریخ انتشار 2013