Speech enhancement via energy separation
نویسندگان
چکیده
This work presents a novel technique to enhance speech signals in the presence of interfering noise. In this paper, the amplitude and frequency (AMFM) modulation model [7] and a multi-band analysis scheme [5] are applied to extract the speech signal parameters. The enhancement process is performed using a time-warping function (n) that is used to warp the speech signal. (n) is extracted from the speech signal using the Smoothed Energy Operator Separation Algorithm (SEOSA) [4]. This warping is capable of increasing the SNR of the high frequency harmonics of a voiced signal by forcing the the quasiperiodic nature of the voiced component to be more periodic, and consequently is useful for extracting more robust parameters of the signal in the presence of noise.
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