Word boundary detection and speech recognition of noisy speech by means of iterative noise cancellation techniques

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This paper describes the approach for enhancing the performance of a speaker-dependent, discrete word recognition system in a noisy environment by means of cepstral subtraction techniques applied iteratively. A series of experiments have shown that these iterative methods provide enhanced performance in the word boundary detector which results in a significant improvement in speech recognition accuracy.