基于听觉感知子带的自适应谷点形成算法

Adaptive Null-forming Algorithm Based on Auditory Sub-bands

自适应谷点形成算法具有结构小巧、算法简单、易于实现、性能显著等特点,在噪声消除、语音识别前端和助听器的设计领域中有较强的实用价值。介绍了1种基于听觉感知的自适应谷点形成算法,在利用分带减弱由窄带效应引起的系统性能下降的同时,较大程度地保护了语音成分不受伤害。

Adaptive null-forming, which usually uses a small size sensor array to make it easy to implement, is a very effective algorithm. And it＇s been widely used the in noise reduction, hearing aids equipments and front end of automatic speech recognition systems. In this paper, null-forming based on auditory sub-bands algorithm is introduced. This method effectively reduces the performance degradation caused by narrow-band effect while maintaining the quality of the speech components.