首页> 外文期刊>International journal of pediatric otorhinolaryngology >Acoustic markers to differentiate gender in prepubescent children's speaking and singing voice
【24h】

Acoustic markers to differentiate gender in prepubescent children's speaking and singing voice

机译:区分青春期前儿童说话和唱歌声音中性别的声学标记

获取原文
获取原文并翻译 | 示例
       

摘要

Objectives: Investigation sought to determine whether there is any acoustic variable to objectively differentiate gender in children with normal voices. Methods: A total of 30 children, 15 boys and 15 girls, with perceptually normal voices were examined. They were between 7 and 10 years old (mean: 8.1, SD: 0.7 years). Subjects were required to perform the following phonatory tasks: (1) to phonate sustained vowels [a:], [i:], [u:], (2) to read a phonetically balanced text, and (3) to sing a song. Acoustic analysis included long-term average spectrum (LTAS), fundamental frequency (F0), speaking fundamental frequency (SFF), equivalent continuous sound level (Leq), linear predictive code (LPC) to obtain formant frequencies, perturbation measures, harmonic to noise ratio (HNR), and Cepstral peak prominence (CPP). Auditory perceptual analysis was performed by four blinded judges to determine gender. Results: No significant gender-related differences were found for most acoustic variables. Perceptual assessment showed good intra and inter rater reliability for gender. Cepstrum for [a:], alpha ratio in text, shimmer for [i:], F3 in [a:], and F3 in [i:], were the parameters that composed the multivariate logistic regression model to best differentiate male and female children's voices. Conclusion: Since perceptual assessment reliably detected gender, it is likely that other acoustic markers (not evaluated in the present study) are able to make clearer gender differences. For example, gender-specific patterns of intonation may be a more accurate feature for differentiating gender in children's voices.
机译:目的:调查旨在确定是否存在任何声学变量来客观区分正常声音儿童的性别。方法:共检查了30名儿童,其中15名男孩和15名女孩的声音正常。他们的年龄介于7至10岁之间(平均:8.1岁,标准差:0.7岁)。要求受试者执行以下语音任务:(1)发出持续的元音[a:],[i:],[u:],(2)朗读语音平衡的文本,以及(3)唱歌。声学分析包括长期平均频谱(LTAS),基频(F0),语音基频(SFF),等效连续声级(Leq),线性预测码(LPC)以获取共振峰频率,微扰措施,谐波噪声比率(HNR)和倒谱峰突出(CPP)。由四位盲人法官进行听觉知觉分析以确定性别。结果:对于大多数声学变量,未发现与性别相关的显着差异。知觉评估显示性别内部和内部评估者具有良好的信度。 [a:]的倒谱,文本的alpha比率,[i:]的闪烁,[a:]的F3和[i:]的F3是构成多元logistic回归模型以最佳地区分男性和女性的参数孩子们的声音。结论:由于知觉评估能够可靠地检测出性别,因此其他声学标记(本研究中未评估)可能能够使性别差异更加清晰。例如,针对性别的语调模式可能是区分孩子声音中性别的更准确的功能。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号