LABORATORIO DE COMUNICACIÓN ORAL
ROBERT WAYNE NEWCOMB
R. Martínez, A. Alvarez, P. Gómez, V. Nieto, V. Rodellar, M. Rubio and M. Pérez
- "A Robust Begin-End Point Detector for Highly Noisy Conditions".
- IX European Signal Processing Conference EUSIPCO'98
- Rhodes, Greece, 8-11 September, 1998
- Most recognition methods, which have shown to be highly efficient under
noise-free conditions fail dramatically with S/N ratios around or below 10 dB.
One of the consequences of these high noise levels is that most Begin-End Point
Detectors fail to separate properly the speech segments of the noise ones.
Therefore, the speech recognition mechanisms will not have a clear boundary
to start the processing of the signal, and as a consequence, speech segments
will be lost, and noisy segments will be used in recognition. The overall
reliability of the Speech Recognition System will dramatically experience
the consequences of this impairment in its results. What is being proposed
in this paper is to use the side information provided by an Adaptive Noise
Canceller for the dynamic detection of word boundaries.
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Madrid a 9 de junio de 2004