A New Method for Noisy Speech Recognition Based on Multiple Timescale and Hybrid Sub Band

JIANG Wen-jian; WEI Gang

您当前的位置：

首页 >

文章列表页 >

A New Method for Noisy Speech Recognition Based on Multiple Timescale and Hybrid Sub Band

更新时间：2025-07-16

- A New Method for Noisy Speech Recognition Based on Multiple Timescale and Hybrid Sub Band
- Acta Electronica Sinica Vol. 29, Issue S1, Pages: 1829-1832(2001)
- 作者机构：
  
  华南理工大学无线电与自动控制研究所,广东,广州,510640
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN912
- Published：2001
- 稿件说明：
移动端阅览
JIANG Wen-jian, WEI Gang. A New Method for Noisy Speech Recognition Based on Multiple Timescale and Hybrid Sub Band[J]. Acta Electronica Sinica, 2001, 29(S1): 1829-1832.
DOI：

JIANG Wen-jian, WEI Gang. A New Method for Noisy Speech Recognition Based on Multiple Timescale and Hybrid Sub Band[J]. Acta Electronica Sinica, 2001, 29(S1): 1829-1832. DOI：

摘要

本文根据多时间尺度分析与子带方法

提出了一种多时间尺度复合子带的噪声环境下语音识别新方法.新方法在不同的时间尺度下分别进行子带特征提取和全带特征提取

并分别进行识别

然后在识别概率层相结合得到最终识别结果.本方法兼有多时间尺度方法和子带方法的抗噪性能.此外

进一步引入频谱差分方法提高语音特征的抗噪性能.对E-SET在NoiseX92下白噪声的识别实验表明

新方法具有良好的抗噪性能.

Abstract

We present a new method for noisy speech recognition

which combines multiple timescale analysis with sub-band method.In the new method

sub-band features and full band features are extracted in different timescales

then combined at probabilistic layer.The method has robustness of both multiple timescale method and sub band method.Differential method is also introduced to further enhance the robustness of the features.Evaluated by a task on E-SET database under white noise from NoiseX92 noise database

the new method has higher recognition accuracy than conventional multiple timescale method on both noisy speech and clean speech.

关键词

Keywords

references

Views

863

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

An In-Vehicle Interaction Speech Enhancement and Recognition Method Based on Lightweight Models in Complex Environment

An End-to-End Chinese Speech Recognition Algorithm Integrating Language Model

Hardware Realization of Semiconductor Neurocomputer and Its Application to Continuous Speech Recognition

Denoising and Disturbance-Rejecting Method Based on Wavelet Decomposition and Least Absolute Errors

An Automatic Caption Generator for Mandarin Broadcast News

Related Author

LIAN Xiao-yu

XIA Nan

DAI Gao-le

YANG Hong-qin

LÜ Kun-ru

WU Chun-guo

LIANG Yan-chun

YUAN Yu-ping

Related Institution

School of Information Science and Engineering， Dalian Ploytechnic University

Ministry of Education Key Laboratory of Symbol Computation and Knowledge Engineering， Jilin University

School of Computer Science， Zhuhai College of Science and Technology

College of Computer Science and Technology， Jilin University

School of InformationZhejiang University of TechnologyHangzhouZhejiang 310014China

⁰