Reconnaissance d'ordres domotiques en conditions bruitées pour l'assistance à domicile (Recognition of Voice Commands by Multisource ASR and Noise Cancellation in a Smart Home Environment) [in French]

In this paper, we present a multisource ASR system to detect home automation orders in various everyday listening conditions in a realistic home. The system is based on a state of the art noise cancellation stage that feeds recently introduced ASR techniques. The evaluation was conducted on a realistic noisy dataset acquired in a smart home where a microphone was placed near the noise source and several other microphones were set in the ceiling of the different rooms. This distant speech French corpus was recorded with 23 speakers uttering colloquial or distress sentences as well as home automation orders. Techniques acting at the decoding stage and using a priori knowledge gave the best results in noisy condition compared to the baseline reaching good enough performance for a real usage. If broadcast news is easily handled by the noise canceller, improvements still need to be made when music is used as background noise. MOTS-CLÉS : Domotique, habitat intelligent, parole distante, SRAP multisource, détection de mots clefs.