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Distant Speech Recognition Using a Microphone Array Network
2010
IEICE transactions on information and systems
In this work, spatial information consisting of the position and orientation angle of an acoustic source is estimated by an artificial neural network (ANN). The estimated position of a speaker in an enclosed space is used to refine the estimated time delays for a delay-and-sum beamformer, thus enhancing the output signal. On the other hand, the orientation angle is used to restrict the lexicon used in the recognition phase, assuming that the speaker faces a particular direction while speaking.
doi:10.1587/transinf.e93.d.2451
fatcat:aiyu6yfmpzgvdhxy2qcgtcw5xu