New feature extraction methods using DWT and LPC for isolated word recognition

In this paper a new feature extraction methods, which utilize reduced order Linear Predictive Coding (LPC) coefficients for speech recognition, have been proposed. The coefficients have been derived from the speech frames decomposed using Discrete Wavelet Transform (DWT). In the literature it is ass...

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Bibliographische Detailangaben

Hauptverfasser:	Nehe, N.S., Holambe, R.S.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Discrete Wavelet Transform Discrete wavelet transforms Feature extraction Frequency Hidden Markov models Linear predictive coding Signal processing Speech processing Speech recognition Vectors Wavelet packets
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