语音活动研究方法综述

Shanmeng, A. Hamdulla, Mijit Ablimit
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引用次数: 0

摘要

随着神经网络在各个领域的应用越来越广泛,语音信号处理在深度学习领域也取得了许多显著的成果。语音端点检测作为语音信号处理的前端处理部分中非常重要的一部分,是完成各种语音任务的基础。开展语音端点检测技术的研究对促进语音信号处理的发展具有重要的价值和意义。本文对语音端点检测技术的发展进行了详细的概述,介绍了语音端点检测的起步到近年来的发展,以及目前非常流行的深度学习在语音端点检测技术中的成熟应用。分析了传统语音端点检测和基于深度学习的语音端点检测的发展趋势,揭示了传统语音端点检测的不足,基于深度神经网络的语音端点检测的局限性,以及未来的发展方向,从而可以更好的构建基于深度神经网络的语音端点检测系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Summary of Research Methods of Voice Activity
As neural networks are more and more widely used in various fields, speech signal processing has also achieved many remarkable results in the field of deep learning. As a very important part of the front-end processing part of voice signal processing, voice endpoint detection is the basis of various voice tasks. Carrying out research on voice endpoint detection technology is of great value and significance in promoting the development of voice signal processing. This article gives a detailed overview of the development of voice endpoint detection technology, introduces the beginning to the development of voice endpoint detection in recent years, and the maturity of the current very popular deep learning application in voice endpoint detection technology. The traditional voice endpoint detection and based on The development trend of deep learning voice endpoint detection has been analyzed, and it has revealed the shortcomings of traditional voice endpoint detection, the limitations of voice endpoint detection based on deep neural networks, and the future development direction, so that it can be better built based on depth Neural network voice endpoint detection system.
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