利用稀疏性约束和正则化迭代阈值算法和字典降低噪声

IF 1.3 4区计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC

IETE Journal of Research Pub Date : 2024-08-29 DOI:10.1080/03772063.2024.2395461

Raj Kumar, Manoj Tripathy, R. S. Anand, Niraj Kumar

引用次数: 0

摘要

基于词典的方法因其能从受噪声污染的语音中估计出清晰语音而得到认可。然而，这些技术在区分语音和噪声方面存在局限性。

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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Noise Reduction Using Sparsity Constrained and Regularized Iterative Thresholding Algorithm and Dictionary

Dictionary-based methods are recognized for their ability to estimate clear speech from speech contaminated with noise. However, these techniques face a limitation in distinguishing between speech ...

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来源期刊

IETE Journal of Research 工程技术-电信学

CiteScore

3.30

自引率

6.70%

发文量

308

期刊介绍： IETE Journal of Research is a Bimonthly journal published by the Institution of Electronics and Telecommunication Engineers (IETE), India. It publishes scientific and technical papers describing original research work or novel product/process development. Occasionally special issues are brought out on new and emerging research areas. IETE Journal of Research is useful to researchers, engineers, scientists, teachers, managers and students who are interested in keeping a track of original research and development work being carried out in the broad area of electronics, telecommunications, computer science and engineering and information technology.