自适应波束形成算法是数字助听器的核心算法之一。针对自适应波束形成算法中不可避免存在的语音泄漏,本文先对传统GSC结构自适应波束形成算法进行理论研究,并提出一种汉语处理技术,补偿泄漏的语音。这种汉语处理技术利用汉语语音特有的基音频率信息,调整语音幅度谱包络,提高谱包络与基频曲线形状的相似度以提高语音的可懂度。针对泄漏的语音在高频清辅音段有较大损失的特点,在频域上对清辅音进行放大,在不改变共振峰结构的情况下,提高清辅音的能量,同时降低语音间隔段GSC算法泄漏的噪声能量,提高对语音的辨别。仿真实验结果表明,这种汉语语音处理能够补偿自适应波束形成算法造成的语音泄漏,提高语音的可懂度。 Adaptive beamforming algorithm is one of the core algorithms of digital hearing aids. Aiming at the inevitable speech leakage in adaptive beamforming algorithm, this paper first studies the traditional adaptive beamforming algorithm of GSC structure and proposes a Chinese processing technique to compensate for the leakage of speech. This Chinese processing technique uses the pitch frequency information unique to Chinese speech to adjust the envelope of the speech amplitude spectrum and improve the similarity between the spectral envelope and the fundamental frequency curve shape so as to improve the speech intelligibility. Aiming at the large loss of speech in the high-frequency clear consonant segment, the consonant consonant is amplified in the frequency domain, and the energy of the consonant consonant is increased without changing the structure of the formant. At the same time, the leakage of GSC algorithm is reduced Noise energy, improve speech recognition. Simulation results show that this Chinese speech processing can compensate for the speech leakage caused by the adaptive beamforming algorithm and improve speech intelligibility.