Recognition of Distress Calls in Distant Speech Setting: a Preliminary Experiment in a Smart Home

Abstract : This paper presents a system to recognize distress speech in the home of seniors to provide reassurance and assistance. The system is aiming at being integrated into a larger system for Ambient Assisted Living (AAL) using only one microphone with a fix position in a non-intimate room. The paper presents the details of the automatic speech recognition system which must work under distant speech condition and with expressive speech. Moreover, privacy is ensured by running the decoding on-site and not on a remote server. Furthermore the system was biased to recognize only set of sentences defined after a user study. The system has been evaluated in a smart space reproducing a typical living room where 17 participants played scenarios including falls during which they uttered distress calls. The results showed a promising error rate of 29% while emphasizing the challenges of the task.
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Michel Vacher, Benjamin Lecouteux, Frédéric Aman, Solange Rossato, François Portet. Recognition of Distress Calls in Distant Speech Setting: a Preliminary Experiment in a Smart Home. 6th Workshop on Speech and Language Processing for Assistive Technologies, SIG-SLPAT, Sep 2015, Dresden, Germany. pp.1-7. ⟨hal-01179930⟩

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