• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

研究与声门相关的谐波噪声比和频谱倾斜度作为合成语音信号和人类语音信号中声门噪声指标的情况。

Investigation of a glottal related harmonics-to-noise ratio and spectral tilt as indicators of glottal noise in synthesized and human voice signals.

作者信息

Murphy Peter J, McGuigan Kevin G, Walsh Michael, Colreavy Michael

机构信息

Department of Electronic and Computer Engineering, University of Limerick, Limerick, Ireland.

出版信息

J Acoust Soc Am. 2008 Mar;123(3):1642-52. doi: 10.1121/1.2832651.

DOI:10.1121/1.2832651
PMID:18345852
Abstract

The harmonics-to-noise ratio (HNR) of the voiced speech signal has implicitly been used to infer information regarding the turbulent noise level at the glottis. However, two problems exist for inferring glottal noise attributes from the HNR of the speech wave form: (i) the measure is fundamental frequency (f0) dependent for equal levels of glottal noise, and (ii) any deviation from signal periodicity affects the ratio, not just turbulent noise. An alternative harmonics-to-noise ratio formulation [glottal related HNR (GHNR')] is proposed to overcome the former problem. In GHNR' a mean over the spectral range of interest of the HNRs at specific harmonic/between-harmonic frequencies (expressed in linear scale) is calculated. For the latter issue [(ii)] two spectral tilt measures are shown, using synthesis data, to be sensitive to glottal noise while at the same time being comparatively insensitive to other glottal aperiodicities. The theoretical development predicts that the spectral tilt measures reduce as noise levels increase. A conventional HNR estimator, GHNR' and two spectral tilt measures are applied to a data set of 13 pathological and 12 normal voice samples. One of the tilt measures and GHNR' are shown to provide statistically significant differentiating power over a conventional HNR estimator.

摘要

浊音语音信号的谐波噪声比(HNR)已被隐含地用于推断有关声门处湍流噪声水平的信息。然而,从语音波形的HNR推断声门噪声属性存在两个问题:(i)对于相等的声门噪声水平,该测量依赖于基频(f0);(ii)与信号周期性的任何偏差都会影响该比率,而不仅仅是湍流噪声。为了克服前一个问题,提出了一种替代的谐波噪声比公式[与声门相关的HNR(GHNR')]。在GHNR'中,计算特定谐波/谐波间频率(以线性比例表示)处的HNR在感兴趣的频谱范围内的平均值。对于后一个问题[(ii)],使用合成数据表明,两种频谱倾斜测量对声门噪声敏感,同时对其他声门非周期性相对不敏感。理论推导预测,随着噪声水平的增加,频谱倾斜测量值会降低。将传统的HNR估计器、GHNR'和两种频谱倾斜测量应用于13个病理性和12个正常语音样本的数据集。结果表明,其中一种倾斜测量和GHNR'比传统的HNR估计器具有统计学上显著的区分能力。

相似文献

1
Investigation of a glottal related harmonics-to-noise ratio and spectral tilt as indicators of glottal noise in synthesized and human voice signals.研究与声门相关的谐波噪声比和频谱倾斜度作为合成语音信号和人类语音信号中声门噪声指标的情况。
J Acoust Soc Am. 2008 Mar;123(3):1642-52. doi: 10.1121/1.2832651.
2
Spectral noise estimation in the evaluation of pathological voice.病理性嗓音评估中的频谱噪声估计
Logoped Phoniatr Vocol. 2006;31(4):182-9. doi: 10.1080/14015430600576238.
3
Source-filter comparison of measurements of fundamental frequency perturbation and amplitude perturbation for synthesized voice signals.合成语音信号基频微扰和幅度微扰测量的源-滤波器比较
J Voice. 2008 Mar;22(2):125-37. doi: 10.1016/j.jvoice.2006.09.007. Epub 2006 Dec 4.
4
Acoustic signal typing for evaluation of voice quality in tracheoesophageal speech.用于评估食管气管语音语音质量的声学信号分型
J Voice. 2006 Sep;20(3):355-68. doi: 10.1016/j.jvoice.2005.04.008. Epub 2005 Sep 26.
5
[Preliminary design for a VI system combining the voice acoustic analyzing and glottal image analyzing].
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2008 Apr;25(2):291-4.
6
On first rahmonic amplitude in the analysis of synthesized aperiodic voice signals.
J Acoust Soc Am. 2006 Nov;120(5 Pt 1):2896-907. doi: 10.1121/1.2355483.
7
[Acoustic analysis of the normal voice in nonsmoking adults].[非吸烟成年人正常嗓音的声学分析]
Acta Otorrinolaringol Esp. 1999 Mar;50(2):134-41.
8
The turbulent noise ratio: an estimation of noise power of the breathy voice using PARCOR analysis.
Laryngoscope. 1994 Feb;104(2):153-8. doi: 10.1288/00005537-199402000-00006.
9
Measuring and modeling vocal source-tract interaction.测量与建模声源-声道相互作用。
IEEE Trans Biomed Eng. 1994 Jul;41(7):663-71. doi: 10.1109/10.301733.
10
The effectiveness of the glottal to noise excitation ratio for the screening of voice disorders.声门噪声比用于嗓音障碍筛查的效果。
J Voice. 2010 Jan;24(1):47-56. doi: 10.1016/j.jvoice.2008.04.006. Epub 2009 Jan 9.

引用本文的文献

1
Perceived vibrato and the singing power ratio explain overall evaluations in opera singing.感知到的颤音和歌唱功率比解释了歌剧演唱中的整体评价。
Front Psychol. 2025 Aug 8;16:1568982. doi: 10.3389/fpsyg.2025.1568982. eCollection 2025.
2
An acoustic model of speech dysprosody in patients with Parkinson's disease.帕金森病患者言语韵律障碍的声学模型。
Front Hum Neurosci. 2025 Apr 28;19:1566274. doi: 10.3389/fnhum.2025.1566274. eCollection 2025.
3
Vocal plasticity in harbour seal pups.港海豹幼崽的声音可塑性。
Philos Trans R Soc Lond B Biol Sci. 2021 Dec 20;376(1840):20200456. doi: 10.1098/rstb.2020.0456. Epub 2021 Nov 1.
4
EXTRACTING CUES FROM SPEECH FOR PREDICTING SEVERITY OF PARKINSON'S DISEASE.从语音中提取线索以预测帕金森病的严重程度
IEEE Int Workshop Mach Learn Signal Process. 2010 Aug-Sep;2010:462-467. doi: 10.1109/MLSP.2010.5589118. Epub 2010 Oct 7.
5
The relationship between acoustical and perceptual measures of vocal effort.声学和感知测量在发声努力方面的关系。
J Acoust Soc Am. 2018 Sep;144(3):1643. doi: 10.1121/1.5055234.