Skip to main content
Article thumbnail
Location of Repository

Hands-Free Speech Recognition In A Noisy And Reverberant Environment

By Maurizio Omologo, Marco Matassoni, Piergiorgio Svaizer and Diego Giuliani


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. 1. INTRODUCTION Hands-free continuous speech recognition represents a challenging scenario: many experimental activities [1, 2, 3, 4, 5, 6] have been recently devoted to the enhancement of the speech signal and to the compensation of the acoustic mismatch between the training and the testing conditions. The experiments described in this work refer to the use of a Continuous De..

Year: 1997
OAI identifier: oai:CiteSeerX.psu:
Provided by: CiteSeerX
Download PDF:
Sorry, we are unable to provide the full text but you may find it at the following location(s):
  • (external link)
  • (external link)
  • Suggested articles

    To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.