首页> 外文期刊>Journal of voice: official journal of the Voice Foundation >Formation of the actor's/speaker's formant: a study applying spectrum analysis and computer modeling.
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Formation of the actor's/speaker's formant: a study applying spectrum analysis and computer modeling.

机译:演员/演讲者共振峰的形成:应用频谱分析和计算机建模的研究。

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HYPOTHESIS: A strong peak between 3 and 4 kHz in the long-term average spectrum (LTAS) of speech has been found to be one correlate of a good male speaking voice, for example, among actors. The actor's or speaker's formant (resembling the singer's formant) can be established by certain vocal training. This study investigates the origin of the speaker's formant. STUDY DESIGN AND SETTING: The immediate effects of a vocal exercise series on speaking voice were studied in a Finnish male actor, who is an experienced teacher of the exercises. They consist of nasal vowel syllable strings and words containing nasals. Before and after a 30-minute exercising, the subject (1) read aloud at three loudness levels and (2) phonated the Finnish vowels at habitual level. METHODS: Formant frequencies were estimated from spectra of the vowel samples. LTAS was made and equivalent sound level (L(eq)) was measured for the text samples. Formant frequencies were used as the input for a one-dimensional (1D) mathematical model. RESULTS: After the exercise, the peak at 3.5 kHz in the LTAS of the reading samples was stronger, although L(eq) was the same as before, suggesting a level-independent resonance change. Reading samples after exercising were evaluated to sound better in voice quality than before exercising. The strong peak at 3.5 kHz was present in all vowels, and it was mainly formed by clustering of F and F. CONCLUSIONS: A 1D model-based optimization suggested that this kind of a formant cluster could be best established by simultaneously narrowing the epilaryngeal tube, widening the pharynx and narrowing the front of the oral cavity.
机译:假设:语音的长期平均频谱(LTAS)中3至4 kHz之间的一个强峰值已被发现与演员之间良好的男性说话声音有关。演员或说话者的共振峰(类似于歌手的共振峰)可以通过某些声音训练来建立。这项研究调查了说话者共振峰的起源。研究设计与设置:语音练习系列对口语语音的直接影响是在芬兰男演员中进行的,该男演员是练习的资深老师。它们由鼻元音音节字符串和包含鼻音的单词组成。在进行30分钟的锻炼之前和之后,受试者(1)以三种响度水平大声朗读,并且(2)习惯性地给芬兰元音打电话。方法:从元音样本的频谱估计共振峰频率。制作了LTAS,并测量了文本样本的等效声级(L(eq))。共振峰频率被用作一维(1D)数学模型的输入。结果:运动后,尽管L(eq)与以前相同,但阅读样品的LTAS中3.5 kHz处的峰值更强,表明水平无关的共振变化。锻炼后的阅读样本被评估为比锻炼前的声音质量更好。所有元音中均存在3.5 kHz的强峰,其主要由F和F的聚类形成。结论:基于1D模型的优化表明,最好通过同时缩小上epi管而建立这种共振峰簇,加宽咽部并缩小口腔前部。

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