Using the method of modified linear prediction for robust acoustic coding of speech
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Ensuring the acceptable acoustic coding of a signal under the conditions of noise interference is an important problem of recognizing speech signals. The result of calculating acoustic characteristics by the existing algorithms strongly depends on the signal-to-noise ratio. To solve the problem related to ensuring robust acoustic coding, we propose an algorithm for obtaining cepstral coefficients on the basis of the method of modified linear prediction. The algorithm is aimed at the specific features of the vocalized speech signals with a pronounced formant structure including the case of wideband additive interference. The algorithm stability as a function of the noise level is studied experimentally. The result is improved compared with the well-known approaches.
KeywordsSpeech Signal Acoustic Attribute Linear Prediction Autocorrelation Matrix Vocalize Signal
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