Robust Speech Recognition for Unknown Communication Channels Pont-à-Mousson, France April 17-18, 1997

Hands-Free Speech Recognition in a Noisy and Reverberant Environment

Maurizio Omologo, Marco Matassoni, Piergiorgio Svaizer, Diego Giuliani

IRST-Istituto per la Ricerca Scientifica e Tecnologica, Povo di Trento, Italy

In this work a challenging scenario concerning hands-free continuous speech recognition is investigated. A set of experiments was carried out using microphone arrays having different numbers of omnidirectional sensors and that were placed at different angles and distances from the talker. Both real and simulated array signals, obtained by means of the image method, were used. An enhanced input to a recognizer based on Hidden Markov Models was obtained by a time delay compensation module providing a beamformed signal. HMM adaptation was used to improve recognition performance in the various acoustic conditions.

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Bibliographic reference.  Omologo, Maurizio / Matassoni, Marco / Svaizer, Piergiorgio / Giuliani, Diego (1997): "Hands-free speech recognition in a noisy and reverberant environment", In RSR-1997, 195-198.