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Smart Health pp 161-188 | Cite as

On Distant Speech Recognition for Home Automation

  • Michel Vacher
  • Benjamin Lecouteux
  • François Portet
Chapter
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8700)

Abstract

In the framework of Ambient Assisted Living, home automation may be a solution for helping elderly people living alone at home. This study is part of the Sweet-Home project which aims at developing a new home automation system based on voice command to improve support and well-being of people in loss of autonomy. The goal of the study is vocal order recognition with a focus on two aspects: distance speech recognition and sentence spotting. Several ASR techniques were evaluated on a realistic corpus acquired in a 4-room flat equipped with microphones set in the ceiling. This distant speech French corpus was recorded with 21 speakers who acted scenarios of activities of daily living. Techniques acting at the decoding stage, such as our novel approach called Driven Decoding Algorithm (DDA), gave better speech recognition results than the baseline and other approaches. This solution which uses the two best SNR channels and a priori knowledge (voice commands and distress sentences) has demonstrated an increase in recognition rate without introducing false alarms. Generally speaking, a short overview allows then to outline the research challenges that speech technologies must take up for Ambient Assisted Living and Augmentative and Alternative Communication, and the current reseach avenues in this domain.

Keywords

Distant speech recognition Keyword detection Triggered language models Home automation Smart home Application of speech processing for assistive technologies Ambient assisted living 

Notes

Acknowledgments

This work is part of the Sweet-Home project supported by the French National Research Agency (Agence Nationale de la Recherche / ANR-09-VERS-011).

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Michel Vacher
    • 1
  • Benjamin Lecouteux
    • 2
  • François Portet
    • 2
  1. 1.LIGCNRSGrenobleFrance
  2. 2.LIGUniversity Grenoble AlpesGrenobleFrance

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