Sixth European Conference on Speech Communication and Technology

Budapest, Hungary
September 5-9, 1999

A Robust Isolated Word Recognizer for Highly Non-Stationary Environments. Recognition Results

A. Álvarez, R. Martínez, P. Gómez, V. Nieto, M. M. Pérez

Departamento de Arquitectura y Tecnología de Sistemas Informáticos, Facultad de Informática, Universidad Politécnica de Madrid, Campus de Montegancedo, s/n Boadilla del Monte, Madrid, Spain

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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Bibliographic reference.  Álvarez, A. / Martínez, R. / Gómez, P. / Nieto, V. / Pérez, M. M. (1999): "A robust isolated word recognizer for highly non-stationary environments. recognition results", In EUROSPEECH'99, 2817-2820.