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This paper addresses the challenging scenario for the distant-talking controlof a music playback device, a common portable speaker with four smallloudspeakers in close proximity to one microphone. The user controls the devicethrough voice, where the speech-to-music ratio can be as low as -30 dB duringmusic playback. We propose a speech enhancement front-end that relies on knownrobust methods for echo cancellation, double-talk detection, and noisesuppression, as well as a novel adaptive quasi-binary mask that is well suitedfor speech recognition. The optimization of the system is then formulated as alarge scale nonlinear programming problem where the recognition rate ismaximized and the optimal values for the system parameters are found through agenetic algorithm. We validate our methodology by testing over the TIMITdatabase for different music playback levels and noise types. Finally, we showthat the proposed front-end allows a natural interaction with the device forlimited-vocabulary voice commands.

Design and Optimization of a Speech Recognition Front-End for Distant-Talking Control of a Music Playback Device