Sub-Band Noise Reduction in Multi-Channel Digital Hearing Aid

DOI Web Site 参考文献11件
  • WANG Qingyun
    School of Communication Engineering, Nanjing Institute of Technology
  • LIANG Ruiyu
    School of Communication Engineering, Nanjing Institute of Technology
  • JING Li
    School of Information Science and Engineering, Southeast University
  • ZOU Cairong
    School of Information Science and Engineering, Southeast University
  • ZHAO Li
    School of Information Science and Engineering, Southeast University

抄録

Since digital hearing aids are sensitive to time delay and power consumption, the computational complexity of noise reduction must be reduced as much as possible. Therefore, some complicated algorithms based on the analysis of the time-frequency domain are very difficult to implement in digital hearing aids. This paper presents a new approach that yields an improved noise reduction algorithm with greatly reduce computational complexity for multi-channel digital hearing aids. First, the sub-band sound pressure level (SPL) is calculated in real time. Then, based on the calculated sub-band SPL, the noise in the sub-band is estimated and the possibility of speech is computed. Finally, a posteriori and a priori signal-to-noise ratios are estimated and the gain function is acquired to reduce the noise adaptively. By replacing the FFT and IFFT transforms by the known SPL, the proposed algorithm greatly reduces the computation loads. Experiments on a prototype digital hearing aid show that the time delay is decreased to nearly half that of the traditional adaptive Wiener filtering and spectral subtraction algorithms, but the SNR improvement and PESQ score are rather satisfied. Compared with modulation frequency-based noise reduction algorithm, which is used in many commercial digital hearing aids, the proposed algorithm achieves not only more than 5dB SNR improvement but also less time delay and power consumption.

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