The Performance of an Isolated Word Recognizer Using Noisy Speech.

Abstract
This report investigates the effects of noise on a speaker dependent, isolated work recognition system. Correct word recognition in a noise-free environment exists in a variety of present-day applications. However, when the acoustic environment includes noise, the problem of correct word recognition becomes more difficult. The noise interferes with the accurate location of the work boundaries and also distorts the spectral representation of the speech waveform. A series of experiments were performed to determine (1) the effects of using an energy-based endpoint detector and a conventional isolated word recognition system when the input speech is noisy and (2) the effects of placing a noise suppression prefilter in tandem with the word recognizer in an attempt to remove the noise prior to recognition. It was found that the system consisting of the prefilter working in tandem with the word recognizer increased word recognition accuracy.

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