Comparison of methods for determining speech voicing based on tests performed on paired consonants and continuous speech

IF 1 4区 工程技术 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC Journal of Electrical Engineering-elektrotechnicky Casopis Pub Date : 2022-09-01 DOI:10.2478/jee-2022-0049
Jan Malucha, M. Sigmund
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Abstract

Abstract Voicing is an important phonetic characteristic of speech. Each phoneme belongs to a group of either voiced or unvoiced sounds. We investigated and compared the performance of five algorithms widely used to estimate speech voicing. All algorithms were implemented in Matlab and tested on both short consonants and continuous speech. Phonetically paired consonants (voiced vs unvoiced) and parts of read speech from audio books were used in the experiments. The tuned harmonics-to-noise ratio method gave the best results in both situations, ie for consonants and continuous speech. Using this method, the overall voicing of Czech, Polish, Hungarian and English was investigated. Hungarian speech showed the highest proportion of voiced parts, approx. 75 %. In other languages, the proportion of voiced parts was around 70 %.
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基于对成对辅音和连续语音进行的测试确定语音发声方法的比较
语音是语音的一个重要语音特征。每个音素都属于一组浊音或不浊音。我们研究并比较了五种广泛用于语音估计的算法的性能。所有算法都在Matlab中实现,并对短辅音和连续语音进行了测试。实验中使用了语音配对的辅音(浊音与浊音)和部分有声读物中的朗读语音。调谐谐波噪声比方法在两种情况下都能得到最好的结果,即对于辅音和连续语音。运用该方法对捷克语、波兰语、匈牙利语和英语的语音进行了整体调查。匈牙利语的发音比例最高,约为。75%。在其他语言中,发音部分的比例在70%左右。
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来源期刊
Journal of Electrical Engineering-elektrotechnicky Casopis
Journal of Electrical Engineering-elektrotechnicky Casopis 工程技术-工程:电子与电气
CiteScore
1.70
自引率
12.50%
发文量
40
审稿时长
6-12 weeks
期刊介绍: The joint publication of the Slovak University of Technology, Faculty of Electrical Engineering and Information Technology, and of the Slovak Academy of Sciences, Institute of Electrical Engineering, is a wide-scope journal published bimonthly and comprising. -Automation and Control- Computer Engineering- Electronics and Microelectronics- Electro-physics and Electromagnetism- Material Science- Measurement and Metrology- Power Engineering and Energy Conversion- Signal Processing and Telecommunications
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