Harmonics-to-noise ratio as an index of the degree of hoarseness.

Harmonics-to-noise ratio as an index of the degree of hoarseness.
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DOI:
10.1121/1.387808
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发表时间:
1982-06
期刊:
The Journal of the Acoustical Society of America
影响因子:
--
通讯作者:
E. Yumoto;W. Gould;T. Baer
E. Yumoto;W. Gould;T. Baer
中科院分区:
其他
文献类型:
--
作者:
E. Yumoto;W. Gould;T. Baer

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声音嘶哑的程度可以通过判断持续元音声谱图中噪声取代谐波结构的程度来评估。然而,这种视觉方法是主观的。本研究的目的是发展一种客观的和定量的评价声音嘶哑程度的谐波噪声比(H/N)。计算在概念上是简单的;对持续元音/a/的50个连续音高周期进行平均; H是平均波形的能量,而N是各个周期与平均波形之间的差的平均能量。对42例正常嗓音和41例不同程度的声音嘶哑样本的录音进行了分析。两名专家根据噪音相对于谐波分量的数量对每个声音样本的频谱图进行了评级。结果表明,H/N计算和光谱图的主观评价之间的高度显着的协议(等级相关系数= 0.849)。H/N比值也被证明在定量评估声音嘶哑治疗结果方面是有用的。
Degree of hoarseness can be evaluated by judging the extent to which noise replaces the harmonic structure in the spectrogram of a sustained vowel. However, this visual method is subjective. The present study was undertaken to develop the harmonics-to-noise (H/N) ratio as an objective and quantitative evaluation of the degree of hoarseness. The computation is conceptually straightforward; 50 consecutive pitch periods of a sustained vowel /a/ are averaged; H is the energy of the averaged waveform, while N is the mean energy of the differences between the individual periods and averaged waveform. Recordings of 42 normal voices and 41 samples with varying degrees of hoarseness were analyzed. Two experts rated the spectrogram of each voice sample, based on the amount of noise relative to that of the harmonic component. The results showed a highly significant agreement (the rank correlation coefficient = 0.849) between H/N calculations and the subjective evaluations of the spectrograms. The H/N ratio also proved useful in quantitatively assessing the results of treatment for hoarseness.