A Method of Signal Extraction from Noisy Signal

Masashi UNOKI and Masato AKAGI
unoki@jaist.ac.jp akagi@jaist.ac.jp
School of Information Science, Japan Advanced Institute of Science and Technology
1-1 Asahidai, Tatsunokuchi, Ishikawa 923-12, Japan

Abstract:

This paper presents a method of extracting the desired signal from a noise-added signal as a model of acoustic source segregation. Using physical constraints related to the four regularities proposed by Bregman, the proposed method can solve the problem of segregating two acoustic sources. Two simulations were carried out using the following signals: (a) a noise-added AM complex tone and (b) a noisy synthetic vowel. It was shown that the proposed method can extract the desired AM complex tone from noise-added AM complex tone in which signal and noise exist in the same frequency region. The SD was reduced an average of about 20 dB. It was also shown that the proposed method can extract a speech signal from noisy speech.