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Noise reduction for hearing aids using digital signal processing

使用数字信号处理降低助听器的噪音

基本信息

批准号：
05452333
负责人：
SONE Toshio
金额：
$ 3.52万
依托单位：
TOHOKU UNIVERSITY
依托单位国家：
日本
项目类别：
Grant-in-Aid for General Scientific Research (B)
财政年份：
1993
资助国家：
日本
起止时间：
1993 至 1994
项目状态：
已结题

项目摘要

1. Algorithm for noise reduction An algorithm for reducing stationary/nonstationary environmental noise has been developed and has been verified via computer simulation. Moreover, total noise reduction system has been constructed using signal processing system. For ebvironmental noise reduction, an adaptive beamforming technique was combined with conventional fixed beamformer to obtain robust attenuation for not only stationary noise but also nonstationary noise. On the other hand, for reducing howling, adaptive feedback canceler was introduced.2. Evaluation The system developed has been applied to real environmental noise and was evaluated in terms of the amount of noise reduction and other issues. The results can be summarized as follows : As for the environmental noise, directional noise with large power was reduced by more than 20 dB,while nondirectional noise such as reverberation is also reduced by 10 dB.As for the howling, howling margin increased by 20 dB.3. Improvement in Speech Intelligibility Noise reduction system has been applied to the speech corrupted by noise, and the listening test was conducted. The results can be summarized as follows : As for the environmental noise reduction, the speech intelligibility was improved from 50 % to 70 % by introducing the proposed system. As for the howling cancellation, periodic signals such as voiced speech is corrupted by the conventional adaptive feedback canceler. However, use of frequency compressor together with adaptive feedback canceler as proposed in our system yields little corruption and no effect on speech intelligibility.

1. 降噪算法已经开发出一种降低静态/非静态环境噪声的算法，并通过计算机模拟进行了验证。此外，利用信号处理系统构建了总体降噪系统。为了降低环境噪声，将自适应波束形成技术与传统的固定波束形成器相结合，不仅能够对平稳噪声而且对非平稳噪声都获得鲁棒的衰减。另一方面，为了减少啸叫，引入了自适应反馈消除器。 2．评价所开发的系统已应用于真实环境噪声，并从降噪量等问题进行了评价。结果可概括如下：对于环境噪声，大功率方向性噪声降低了20dB以上，混响等非方向性噪声也降低了10dB。对于啸叫，啸叫余量提高了20dB。3．语音清晰度的提高对被噪声干扰的语音应用降噪系统，并进行听力测试。结果可概括如下：对于环境噪声的降低，通过引入所提出的系统，语音清晰度从 50% 提高到 70%。至于啸叫消除，诸如有声语音之类的周期性信号被传统的自适应反馈消除器破坏。然而，我们系统中提出的频率压缩器与自适应反馈消除器的使用几乎不会产生损坏，并且对语音清晰度没有影响。