Determining spectral stability in vowels: A comparison and assessment of different metrics

IF 2.4 3区 计算机科学 Q2 ACOUSTICS Speech Communication Pub Date : 2023-10-01 DOI:10.1016/j.specom.2023.102984
Jérémy Genette , Jose Manuel Rivera Espejo , Steven Gillis , Jo Verhoeven
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Abstract

This study investigated the performance of several metrics used to evaluate spectral stability in vowels. Four metrics suggested in the literature and a newly developed one were tested and compared to the traditional method of associating the spectrally stable portion with the middle of the vowel. First, synthetic stimuli whose spectrally stable portion had been defined in advance were used to evaluate the potential of the different metrics to capture spectral stability. Second, the output of the different metrics on the acoustic measurements obtained in the vowel portions identified as spectrally stable was compared on both synthesized and natural speech. It is clear that higher-dimensional features are needed to capture spectral stability and that the best-performing metrics yield acoustic measurements that are similar to those obtained in the middle of the vowel. This study empirically validates long-standing intuitions about the validity of selecting the middle section of vowels as the preferred method to identify the spectrally stable region in vowels.

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确定元音的谱稳定性:不同度量的比较和评估
本研究调查了用于评估元音频谱稳定性的几种指标的性能。对文献中提出的四个度量标准和一个新开发的度量标准进行了测试,并与将频谱稳定部分与元音中间部分关联的传统方法进行了比较。首先,使用预先定义了光谱稳定部分的合成刺激来评估不同指标捕捉光谱稳定性的潜力。其次,在合成语音和自然语音上比较在被识别为频谱稳定的元音部分中获得的声学测量的不同度量的输出。很明显,需要更高维度的特征来捕捉频谱稳定性,并且最佳性能的度量产生与在元音中间获得的声学测量类似的声学测量。本研究实证验证了长期以来关于选择元音中间部分作为识别元音频谱稳定区域的首选方法的有效性的直觉。
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来源期刊
Speech Communication
Speech Communication 工程技术-计算机:跨学科应用
CiteScore
6.80
自引率
6.20%
发文量
94
审稿时长
19.2 weeks
期刊介绍: Speech Communication is an interdisciplinary journal whose primary objective is to fulfil the need for the rapid dissemination and thorough discussion of basic and applied research results. The journal''s primary objectives are: • to present a forum for the advancement of human and human-machine speech communication science; • to stimulate cross-fertilization between different fields of this domain; • to contribute towards the rapid and wide diffusion of scientifically sound contributions in this domain.
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