月经周期不同阶段的声音变化:来自声学、背侧和频谱分析的证据

S. Narasimhan, M. Pooja
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引用次数: 1

摘要

声音的频谱和倒谱分析具有潜在的临床意义,可以作为定量声学指标来评估月经周期不同阶段的声音功能。然而,只有少数研究试图调查这些措施来记录月经周期不同阶段的声音变化,结果并不是结论性的。因此,该研究旨在记录声音的声学,频谱和倒谱参数跨越月经周期的四个阶段。方法:记录30名女性月经期、卵泡期、排卵期和黄体期4个月经周期的发声样本。没有参与者报告任何激素相关问题,存在或任何声音问题的历史,并且至少在过去5年内有规律的月经周期。对所有发声样本进行分析,提取声学、频谱和倒谱参数。结果:基本频率、H1-H2值和倒谱峰突出值在月经周期的不同阶段有显著差异。在月经周期的各个阶段,基本频率、H1-H2和CPP值在卵泡期是最佳的,在月经周期的黄体期出现偏差。结论:未来的研究可以包括从发声和语音样本中提取的倒谱和频谱参数的分析,从而对月经周期不同阶段的声音变化提供更深入和更深入的了解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Vocal changes in different phases of menstrual cycle: An evidence from the acoustic, cepstral, and spectral analysis
Introduction: Spectral and cepstral analyses of voice have potential clinical implications and can be used as a quantitative acoustic index to assess vocal function in various phases of the menstrual cycle. However, only a handful of studies have attempted to investigate these measures to document the vocal changes across various phases of the menstrual cycle and the results are not conclusive. Therefore, the study aimed to document the acoustic, spectral, and cepstral parameters of voice across the four phases of the menstrual cycle. Methods: Phonation samples were recorded during four phases of the menstrual cycle –menstrual phase, follicular phase, ovulation phase, and luteal phase – from 30 female participants. None of the participants reported any hormone-related problems, presence, or history of any voice problems and had a regular menstrual cycle at least from the past 5 years. All the phonation samples were analyzed, and the acoustic, spectral, and cepstral parameters were extracted. Results: Fundamental frequency, H1-H2, and cepstral peak prominence (CPP) values were significantly different across the phases of the menstrual cycle. Across the phases of the menstrual cycle, the fundamental frequency, H1-H2, and the CPP values were optimal during the follicular phase and the deviant values were noted during the luteal phase of the menstrual cycle. Conclusion: Future investigations could include the analysis of cepstral and spectral parameters extracted from both the phonation and speech samples that can provide more penetrating and ample in-depth insights into the voice changes across the various phases of the menstrual cycle.
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