An ear protection voice processing accelerator based on multi-channel WDRC algorithm

LIU Zuoxu; CHEN Fei

doi:10.19304/J.ISSN1000-7180.2021.0697

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An ear protection voice processing accelerator based on multi-channel WDRC algorithm

更新时间：2026-09-04

- An ear protection voice processing accelerator based on multi-channel WDRC algorithm
- Vol. 39, Issue 3, Pages: 86-93(2022)
- 作者机构：
  
  1. 天津大学微电子学院,天津,300072
  2. 深圳清华大学研究院机构,广东,深圳,518057
- 作者简介：
- 基金信息：
- DOI：10.19304/J.ISSN1000-7180.2021.0697
  CLC：
- Published：2022
- 稿件说明：
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刘作旭, 陈霏. 一种基于多通道WDRC算法的护耳语音处理加速器[J]. 微电子学与计算机, 2022, 39(3): 86-93.

LIU Zuoxu, CHEN Fei. An ear protection voice processing accelerator based on multi-channel WDRC algorithm[J]. 2022, 39(3): 86-93.
刘作旭, 陈霏. 一种基于多通道WDRC算法的护耳语音处理加速器[J]. 微电子学与计算机, 2022, 39(3): 86-93. DOI： 10.19304/J.ISSN1000-7180.2021.0697.

LIU Zuoxu, CHEN Fei. An ear protection voice processing accelerator based on multi-channel WDRC algorithm[J]. 2022, 39(3): 86-93. DOI： 10.19304/J.ISSN1000-7180.2021.0697.

摘要

长时间的大声聆听增加了人们出现不可逆听力受损的风险.为更好预防因长时间大声聆听而造成的听力受损问题，本文基于优化的多通道宽动态范围压缩(WDRC)算法实现了一种主动护耳的护耳语音处理加速器.相比于传统WDRC算法，该加速器将输入音频声压级作为WDRC算法的输入参数，并对输入音频进行压缩处理.输入语音按照梅尔尺度被分为16个通道.在每一个通道内响度过大的输入语音会被压缩，压缩处理后的语音信号经综合滤波器组合成，ΔΣ调制器处理后以脉冲密度调制(PDM)的形式输出.测试结果显示对于不同频段较高声压级的语音输入产生了较好的声压级控制效果，实现了对输出语音声压级的实时控制.

Abstract

It increases the risk of irreversible hearing loss for long-term loud listening. Therefore

in order to better prevent the hearing loss caused by long-term loud listening

this paper implements an active ear-protecting ear-protecting voice processing accelerator based on the optimized multi-channel wide dynamic range compression (WDRC) algorithm. Compared with the traditional WDRC algorithm

the accelerator takes the input audio sound pressure level as the input parameter of the WDRC algorithm

and compresses the input audio. The input voice is divided into 16 channels according to the Mel scale. The input voice that is too loud in each channel will be compressed. The compressed voice signal is combined by a comprehensive filter

processed by the ΔΣ modulator and output in the form of pulse density modulation (PDM). The test results show that for voice input with higher sound pressure levels in different frequency bands

a better sound pressure level control effect is produced

and real-time control of the output voice sound pressure level is realized.

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Keywords

references

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