Various Speech Processing Techniques For Speech Compression And Recognition
نویسنده
چکیده
Years of extensive research in the field of speech processing for compression and recognition in the last five decades, resulted in a severe competition among the various methods and paradigms introduced. In this paper we include the different representations of speech in the time-frequency and time-scale domains for the purpose of compression and recognition. The examination of these representations in a variety of related work is accomplished. In particular, we emphasize methods related to Fourier analysis paradigms and wavelet based ones along with the advantages and disadvantages of both approaches. Keywords—Time-Scale, Wavelets, Time-Frequency, Compression, Recognition.
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