Vowel classification based on fundamental frequency and formant frequencies.

Vowel classification based on fundamental frequency and formant frequencies.
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基于基频和共振峰频率的元音分类。

DOI:
10.1044/jshr.3604.694
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发表时间:
1993
期刊:
Journal of speech and hearing research
影响因子:
--
通讯作者:
Gayvert,RT
Gayvert,RT
中科院分区:
--
文献类型:
--
作者:
Hillenbrand,J;Gayvert,RT

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一个二次判别分类技术被用来分类频谱测量从男性,女性和儿童说的元音。用于训练判别分类器的参数由基频和三个最低共振峰频率的各种组合组成。几个非线性听觉变换进行了评估。与以往的研究不同,使用线性判别分类器,有没有优势,在类别可分性的任何非线性听觉变换的线性频率范围内,和绝对频率的频谱距离没有优势。然而,人们发现,使用非线性变换和频谱差异的参数集减少了由不同组的谈话者产生的语音等价令牌之间的差异。
A quadratic discriminant classification technique was used to classify spectral measurements from vowels spoken by men, women, and children. The parameters used to train the discriminant classifier consisted of various combinations of fundamental frequency and the three lowest formant frequencies. Several nonlinear auditory transforms were evaluated. Unlike previous studies using a linear discriminant classifier, there was no advantage in category separability for any of the nonlinear auditory transforms over a linear frequency scale, and no advantage for spectral distances over absolute frequencies. However, it was found that parameter sets using nonlinear transforms and spectral differences reduced the differences between phonetically equivalent tokens produced by different groups of talkers.
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