CAJ | 학술논문

维纳滤波算法是改善噪声环境下听障患者语音理解度的常用算法之一。针对传统维纳滤波算法噪声谱估计偏差大的问题，提出一种基于改进的多通道维纳滤波算法的助听器语音降噪算法。算法首先结合人耳听觉特性和助听器响度补偿的特点，将语音信号进行Gammatone分解为多路子带信号。然后在每个子带内用基于先验信噪比估计的维纳滤波器进行语音增强处理。最后通过综合子带信号，得到增强的语音。此外，为了改善维纳滤波算法噪声谱估计的问题，提出一种基于包络估计的语音活动检测算法，并用于改善维纳滤波性能。实验结果表明，与传统维纳滤波法相比，该方法能更有效地抑制残留噪声，提高语音可懂度，具有较高的实用价值。
유납려파산법시개선조성배경하은장환자어음리해도적상용산법지일。침대전통유납려파산법조성보고계편차대적문제，제출일충기우개진적다통도유납려파산법적조은기어음강조산법。산법수선결합인이은각특성화조은기향도보상적특점，장어음신호진행Gammatone분해위다로자대신호。연후재매개자대내용기우선험신조비고계적유납려파기진행어음증강처리。최후통과종합자대신호，득도증강적어음。차외，위료개선유납려파산법조성보고계적문제，제출일충기우포락고계적어음활동검측산법，병용우개선유납려파성능。실험결과표명，여전통유납려파법상비，해방법능경유효지억제잔류조성，제고어음가동도，구유교고적실용개치。
Wiener filtering algorithm is one of the commonly used algorithms to improve the speech intelligibility of hear-ing impaired patients in the noise environment. In this paper, in order to solve the large deviation problem in the noise spectrum estimation of traditional Wiener filtering algorithm, one speech noise reduction algorithm based on the improved multi-channel Wiener filtering is proposed. Firstly, with the features of human auditory and hearing aid loudness compen-sation, the speech signal will be decomposed into multi-sub-band signals by the Gammatone filter. Then the Wiener filter based on a priori SNR estimation is used for speech enhancement in each sub-band. Finally, the sub-band signals are inte-grated to get the enhanced speech. Furthermore, a voice activity detection algorithm based on the envelope estimate is pro-posed to improve the problem in the noise spectrum estimation of traditional Wiener filtering algorithm. And it is also used to improve the performance of the Wiener filter. Experimental results show that, compared with the traditional Wie-ner filtering, the proposed method can more effectively suppress the residual noise and improve speech intelligibility, which has high practical value.