A robust isolated word recognizer for highly non-stationary environments. recognition results
نویسندگان
چکیده
Through the present paper, the evaluation results of a Speaker Independent Robust-to-Noise Isolated Word Recognizer are presented. The system, which is in part the results achieved by the project IVORY (ESPRIT project No. 20277) [6], is intended for working in highly non-stationary environments. The system comprises two main modules: the Noise Cancellator and the Speech Recognizer itself. System robustness is achieved in the noise cancellation module. This module incorporates an Adaptive Filter [7] [13], operating in the time domain, and a subsequent Spectral Subtraction step [2] operating in the frequency domain with the enhanced signal provided by the previous stage. Recognition results for different noise cancellation configurations and for several Parameter Extraction Front-Ends, including LPC [7], FFT Cepstrum [3] and PLP based methods [8] are presented.
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