Psychoacoustics: Facts and Models
Psychoacoustics: Facts and Models
Monaural speech segregation based on pitch tracking and amplitude modulation
IEEE Transactions on Neural Networks
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The hearing system, even in front of complex auditory scenes and in unfavorable conditions, is able to separate and recognize auditory events accurately. A great deal of effort has gone into the understanding of how, after having captured the acoustical data, the human auditory system processes them. For a hearing impaired person, it will be useful if we can separate out and amplify only the dominant speech from a mixture contaminated with babble noise (speech from other talkers). A computationally efficient algorithm for the separation of a dominant speech from a mixture of multiple speeches is proposed in this paper. For this, a wavelet packet filter bank matching to the critical bands of human cochlea is designed and implemented.