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.
Cite as: Álvarez, A., Martínez, R., Gómez, P., Nieto, V., Pérez, M.M. (1999) A robust isolated word recognizer for highly non-stationary environments. recognition results. Proc. 6th European Conference on Speech Communication and Technology (Eurospeech 1999), 2817-2820, doi: 10.21437/Eurospeech.1999-622
@inproceedings{alvarez99_eurospeech,
author={A. Álvarez and R. Martínez and P. Gómez and V. Nieto and M. M. Pérez},
title={{A robust isolated word recognizer for highly non-stationary environments. recognition results}},
year=1999,
booktitle={Proc. 6th European Conference on Speech Communication and Technology (Eurospeech 1999)},
pages={2817--2820},
doi={10.21437/Eurospeech.1999-622}
}