Speech Enhancement Method Based on Binaural Cues Coding Principle

CHEN Nan; BAO Chang-chun

doi:10.3969/j.issn.0372-2112.2019.01.030

您当前的位置：

首页 >

文章列表页 >

Speech Enhancement Method Based on Binaural Cues Coding Principle

更新时间：2025-07-16

- Speech Enhancement Method Based on Binaural Cues Coding Principle
- Acta Electronica Sinica Vol. 47, Issue 1, Pages: 227-233(2019)
- 作者机构：
  
  北京工业大学信息学部,北京,100124
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China (No.61471014)
- DOI：10.3969/j.issn.0372-2112.2019.01.030
  CLC： TN912.35
- Published Online：25 January 2019，
  
  Published：2019
- 稿件说明：
移动端阅览
CHEN Nan, BAO Chang-chun. Speech Enhancement Method Based on Binaural Cues Coding Principle[J]. Acta Electronica Sinica, 2019, 47(1): 227-233.
DOI：

CHEN Nan, BAO Chang-chun. Speech Enhancement Method Based on Binaural Cues Coding Principle[J]. Acta Electronica Sinica, 2019, 47(1): 227-233. DOI： 10.3969/j.issn.0372-2112.2019.01.030.

摘要

借助双耳线索编码原理，通过构建一个语音和噪声的双耳线索先验码书，本文提出一种单通道语音增强方法.首先，该算法将语音和噪声的双耳线索作为语音和噪声的先验知识，在线下被训练成为先验码书.之后，在线上通过加权码书映射（Weighted CodeBook Mapping，WCBM）算法估计纯净线索参数，最后，利用双耳线索编码原理增强含噪语音.此外，本文采用深度神经网络，即堆栈式自编码器（Stacked Auto-Encoders，SAE）代替WCBM算法估计纯净线索参数，提出了基于深度神经网络的双耳线索语音增强算法.进一步提高了增强算法的性能.客观测试结果表明，本文所提方法优于参考算法.

Abstract

In this paper

a single channel speech enhancement method is proposed by constructing a priori binaural cue codebook of speech and noise based on binaural cue coding principle.Firstly

as a priori information

the binaural cues of speech and noise are offline trained to form a priori codebook.Then

the weighted codebook mapping (WCBM) algorithm is used to estimate the clean cue.At last

the noisy speech is enhanced with binaural cue coding (BCC) model.Moreover

an estimation method of the clean cue is proposed for further improving performance based on deep neural network

namely stacked auto-encoders (SAE)

instead of WCBM algorithm.Objective test results show that the proposed method is superior to the reference methods.

关键词

Keywords

references

Views

286

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

A Convolutional Gated Recurrent Network for Speech Enhancement

Improving Generalization Ability of Speech Enhancement Approaches Using Generated Noise

Adversarial Learning and Enhanced Optimization Based Restoration Method for VC-Generated Speeches

Binary Code Similarity Detection Method Based on Cross-Modal Coordinated Representation Learning

A Hierarchical Automatic Sleep Staging Model Based on Transformer Architecture

Related Author

YUAN Wen-hao

HU Shao-dong

SHI Yun-long

LI Zhao

LIANG Chun-yan

LOU Ying-xi

XIA Bin

SU Zhao-pin

Related Institution

College of Computer Science and Technology, Shandong University of Technology

Joint Laboratory of Intelligent Prevention and Recognition of Audio and Video

Intelligent Interconnected Systems Laboratory of Anhui Province (Hefei University of Technology)

Department of Physical Evidence Identification, Anhui Public Security Department

School of Computer and Information Technology, Hefei University of Technology

⁰