Binaural speech enhancement method by wavelet transform based on interaural level and argument differences

Satoshi Hongo, Shuichi Sakamoto, Yoiti Suzuki

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

Human binaural processing might enhance signal sounds in noisy environments. Binaural speech enhancement with two outputs facilitates merits of both signal processing itself and that by human binaural processing. Most previous studies in this area have implemented signal processing in the time and frequency domains. The use of wavelet transform (WT) appears to be promising because it has a scale domain whose bandwidth is inversely proportional to the scale level. Therefore, it might well be compared to auditory filters. In this paper, a new binaural speech enhancement algorithm applying Complex Wavelet Transform is proposed. Experiments of objective and subjective evaluations with a directional target signal and an interference sound source generated by convolving HRTFs were conducted to demonstrate the effectiveness of the proposed algorithm.

本文言語English
ホスト出版物のタイトルProceedings of 2012 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR 2012
ページ290-295
ページ数6
DOI
出版ステータスPublished - 2012
イベント2012 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR 2012 - Xian, Shaanxi, China
継続期間: 2012 7 152012 7 17

出版物シリーズ

名前International Conference on Wavelet Analysis and Pattern Recognition
ISSN(印刷版)2158-5695
ISSN(電子版)2158-5709

Other

Other2012 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR 2012
国/地域China
CityXian, Shaanxi
Period12/7/1512/7/17

ASJC Scopus subject areas

  • 計算理論と計算数学
  • コンピュータ ビジョンおよびパターン認識

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