A Lightweight Speech Detection System for Perceptive Environments - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2006

A Lightweight Speech Detection System for Perceptive Environments


In this paper, we address the problem of speech activity detection in multimodal perceptive environments. Such space may contain many different microphones (lapel, distant or table top). Thus, we need a generic speech activity detector in order to cope with different speech conditions (from closetalking to noisy distant speech). Moreover, as the number of microphones in the room can be high, we also need a very light system. The speech activity detector presented in this article works efficiently on dozens of microphones in parallel. We will see that even if its absolute score of the evaluation is not perfect (30% and 40% of error rate respectively on the two tasks), its accuracy is good enough in the context we are using it.
Fichier principal
Vignette du fichier
Vaufreydaz06.pdf (114.38 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

inria-00326529 , version 1 (03-10-2008)


  • HAL Id : inria-00326529 , version 1


Dominique Vaufreydaz, Rémi Emonet, Patrick Reignier. A Lightweight Speech Detection System for Perceptive Environments. 3rd Joint Workshop on Multimodal Interaction and Related Machine Learning Algorithms, May 2006, Washington, United States. ⟨inria-00326529⟩
137 View
152 Download


Gmail Facebook Twitter LinkedIn More