A Lightweight Speech Detection System for Perceptive Environments

  • Dominique Vaufreydaz
  • Rémi Emonet
  • Patrick Reignier
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4299)


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 close-talking 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.


False Alarm Speech Recognition Speech Activity Energy Detector Microphone Array 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Dominique Vaufreydaz
    • 1
  • Rémi Emonet
    • 1
  • Patrick Reignier
    • 1
  1. 1.PRIMA – INRIA Rhône-Alpes, ZirstMontbonnotFrance

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