使用动态基本谐波归一化的扰动元音发声可视化

K. Manickam, C. Moore
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引用次数: 0

摘要

在喉癌患者中,声带行为的监测可以通过电喉仪捕获的元音声门波形作为喉阻抗时间序列来实现。阻抗信号持续长达4秒,以20khz进行数字化,并分为1000个点帧。对每帧图像的瞬时功率谱密度PSD进行估计。然而,正常和异常元音发声之间的详细频谱差异被基频f/sub 0/的动态变化所掩盖。为了分离基频和谐波行为,从帧中提取f/sub 0/并用于归一化频谱功率,并将整个频率范围转换为基频的浮点倍数。FHN动态PSD可以作为阴影面呈现给临床医生进行评估。在治疗前、治疗后6个月和12个月,语言治疗师分别对正常志愿者和患者进行了评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Visualisation of perturbed vowel phonation using dynamic fundamental harmonic normalisation
In larynx cancer patients the monitoring of vocal fold behaviour can be achieved using glottal waveforms for vowels captured as trans-larynx impedance time series via an electro-laryngograph. The impedance signals are sustained for up to 4 seconds, digitised at 20 kHz, and divided into 1000 point frames. An estimate of the instantaneous power spectral density PSD is computed from of each frame. However, detailed spectral differences between normal and aberrant vowel phonation are obscured by dynamic variations in fundamental frequency f/sub 0/. To separate fundamental and harmonic behaviour, f/sub 0/ is extracted from a frame and used to normalise spectral powers and to transform the entire frequency range into floating point multiples of the fundamental frequency. FHN dynamic PSD can then be presented as shaded surfaces to the clinician for evaluation. Examples are given for normal volunteers and a patient assessed by speech and language therapists pre-treatment, then at 6 and 12 months post treatment.
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