自然语音信号识别算法

O. R. Osadchuk
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引用次数: 0

摘要

语音识别技术正越来越多地成为我们生活的一部分,为控制各种电子设备提供了一种便捷的方式——语音控制。语音指令识别的准确性不足是当前此类控制系统发展中亟待解决的问题之一。正在进行改进,以提高可靠性,不受个人声音特征的影响,并减少背景噪声对识别质量的负面影响。本文提出了一种基于理解自然语言和处理音频信号原理的神经网络来识别和处理用户意图的算法,用于用户支持系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Natural Speech Signal Recognition Algorithm
Speech recognition technologies are becoming more and more part of our lives, providing a convenient way to control a variety of electronic devices - voice control. One of the current problems that is solved in the development of such control systems is the problem of insufficient accuracy of voice command recognition. Improvements are being made to increase reliability, independence from individual voice characteristics, and reduce the negative impact of background noise on recognition quality. The paper presents an algorithm for recognizing and processing user intentions using a neural network built on the principle of understanding natural language and processing audio signals for use in the user support system.
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