A smartphone app-based digital hearing aid with sliding-band dynamic range compression

2016 Twenty Second National Conference on Communication (NCC) Pub Date : 2016-03-04 DOI:10.1109/NCC.2016.7561146

Nitya Tiwari, P. C. Pandey, Anurag Sharma

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引用次数: 5

Abstract

Listeners with sensorineural hearing loss have degraded speech perception due to frequency-dependent elevation of hearing thresholds, reduced dynamic range, and increased temporal and spectral masking. Signal processing in hearing aids for such listeners uses frequency-selective amplification and dynamic range compression for restoring normal loudness of low-level sounds without making the high-level sounds uncomfortably loud. Sliding-band compression has been reported earlier for reducing the temporal and spectral distortions generally associated with currently used single and multiband compression techniques. The paper presents implementation of sliding-band compression as a smartphone app for use as a hearing aid. The processing involves a frequency-dependent gain function calculated on the basis of critical bandwidth based short-time power spectrum and the specified hearing thresholds, compression ratios, and attack and release times. It is realized using FFT-based analysis-synthesis and can be integrated with other such techniques for computational efficiency.

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一款基于智能手机应用的数字助听器，具有滑动带动态范围压缩功能

感音神经性听力损失的听者由于听力阈值的频率依赖性升高、动态范围的减小以及时间和频谱掩蔽的增加而导致言语感知能力下降。针对这类听众的助听器的信号处理使用频率选择放大和动态范围压缩来恢复低水平声音的正常响度，而不会使高水平声音变得不舒服。早先有报道称，滑动带压缩可以减少与当前使用的单波段和多波段压缩技术相关的时间和频谱失真。本文介绍了作为助听器使用的智能手机应用程序的滑动带压缩的实现。所述处理涉及频率相关增益函数，该增益函数基于基于短时间功率谱的临界带宽和指定的听力阈值、压缩比以及攻击和释放时间计算。它是使用基于fft的分析-合成来实现的，并且可以与其他此类技术集成以提高计算效率。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2016 Twenty Second National Conference on Communication (NCC)

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