5th International Conference on Spoken Language Processing

Sydney, Australia
November 30 - December 4, 1998

Signal Extraction From Noisy Signal Based on Auditory Scene Analysis

Masashi Unoki, Masato Akagi

Japan Advanced Institute of Science and Technology, Japan

This paper proposes a method of extracting the desired signal from a noisy signal. This method solves the problem of segregating two acoustic sources by using constraints related to the four regularities proposed by Bregman and by making two improvements to our previously proposed method. One is to incorporate a method of estimating the fundamental frequency using the Comb filtering on the filterbank. The other is to reconsider the constraints on the separation block, which constrain the instantaneous amplitude, input phase, and fundamental frequency of the desired signal. Simulations performed to segregate a vowel from a noisy vowel and to compare the results of using all or only some constraints showed that our improved method can segregate real speech precisely using all the constraints related to the four regularities and that the absence some constraints reduces the accuracy.

Full Paper

Bibliographic reference.  Unoki, Masashi / Akagi, Masato (1998): "Signal extraction from noisy signal based on auditory scene analysis", In ICSLP-1998, paper 1041.