基于连续语音识别技术的多终端英语语音质量评价系统

IF 4.6 Q1 OPTICS
Xianxian Wu, Yan Zhang, Bin Feng
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引用次数: 0

摘要

摘要本文提出了一种基于连续语音识别技术的英语语音质量评价方法。该研究侧重于人工智能在语音识别中的应用,利用计算机、手机和平板电脑等各种终端设备上的web浏览器,让用户大声朗读所提供的文本。web程序从麦克风捕获音频输入,将其录制成MP3格式,并将其上传到服务器。服务器使用Whisper模型将音频转录成语义文本,然后将其与显示的文本进行比较。该系统通过计算语义距离和评估语音准确性,对语音质量进行评估,标记正确和错误的单词。为了实现实时处理,采用了紧凑的微型模型,并使用Ctranslate 2进行了进一步优化,从而显著提高了性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
English Pronunciation Quality Evaluation System Based on Continuous Speech Recognition Technology for Multi-Terminal
Abstract This paper presents a novel approach for evaluating the pronunciation quality of English speech using continuous speech recognition technology. The research focuses on the application of artificial intelligence in speech recognition, utilizing web browsers on various terminal devices such as computers, mobile phones, and tablets to allow users to read the provided text aloud. The web program captures audio input from the microphone, records it in MP3 format, and uploads it to the server. The server employs the Whisper model to transcribe the audio into semantic text, which is then compared with the displayed text. By calculating the semantic distance and assessing the accuracy of pronunciation, the system provides an evaluation of pronunciation quality, marking correct and incorrect words. To achieve real-time processing, the compact tiny model is employed, and further optimization is performed using Ctranslate 2, resulting in significant performance improvements.
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来源期刊
CiteScore
10.70
自引率
0.00%
发文量
27
审稿时长
12 weeks
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