Local spectral attention for full-band speech enhancement

Author:

Hou Zhongshu123,Hu Qinwen123,Chen Kai123,Cao Zhanzhong4,Lu Jing123ORCID

Affiliation:

1. Key Laboratory of Modern Acoustics, Nanjing University 1 , Nanjing, 210093, China

2. Nanjing University–Horizon Intelligent Audio Lab, Horizon Robotics 2 , Beijing 100094, China

3. Nanjing Institute of Advanced Artificial Intelligence 3 , Nanjing 210014, China

4. Nanjing Institute of Information Technology 4 , Nanjing 210036, China zhongshu.hou@smail.nju.edu.cn , qinwen.hu@smail.nju.edu.cn , chenkai@nju.edu.cn , zzcao@189.cn , lujing@nju.edu.cn

Abstract

Attention mechanism has been widely used in speech enhancement (SE) because, theoretically, it can effectively model the inherent connection of signal in time domain and spectrum domain. In this Letter, it is found that the attention over the entire frequency range hampers the inference for full-band SE and possibly leads to excessive residual noise and degradation of speech. To alleviate this problem, the local spectral attention is introduced into full-band SE model by limiting the span of attention. The ablation tests on three full-band SE models reveal that the local frequency attention can effectively improve overall performance.

Funder

National Natural Science Foundation of China

Publisher

Acoustical Society of America (ASA)

Subject

General Medicine

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