A model-based inverse filtering scheme is proposed for an accurate, non-invasive estimation of the aerodynamic source of voiced sounds at the glottis. The approach, referred to as subglottal impedance-based inverse filtering (IBIF), takes as input the signal from a lightweight accelerometer placed on the skin over the extrathoracic trachea and yields estimates of glottal airflow and its time derivative, offering important advantages over traditional methods that deal with the supraglottal vocal tract. The proposed scheme is based on mechano-acoustic impedance representations from a physiologically-based transmission line model and a lumped skin surface representation. A subject-specific calibration protocol is used to account for individual adjustments of subglottal impedance parameters and mechanical properties of the skin. Preliminary results for sustained vowels with various voice qualities show that the subglottal IBIF scheme yields comparable estimates with respect to current aerodynamics-based methods of clinical vocal assessment. A mean absolute error of less than 10% was observed for two glottal airflow measures -maximum flow declination rate and amplitude of the modulation component- that have been associated with the pathophysiology of some common voice disorders caused by faulty and/or abusive patterns of vocal behavior (i.e., vocal hyperfunction). The proposed method further advances the ambulatory assessment of vocal function based on the neck acceleration signal, that previously have been limited to the estimation of phonation duration, loudness, and pitch. Subglottal IBIF is also suitable for other ambulatory applications in speech communication, in which further evaluation is underway.

中文翻译：

---

使用颈部表面加速度的基于声门下阻抗的浊音逆滤波。

提出了一种基于模型的逆滤波方案，用于对声门处声音的空气动力源进行精确的，非侵入性的估计。这种方法称为声门下阻抗反滤波（IBIF），将来自放置在胸外气管上皮肤上的轻型加速度计的信号作为输入，并得出声门气流及其时间导数的估计值，与传统方法相比具有重要优势处理声门上声道。所提出的方案基于基于生理学的传输线模型的机械声阻抗表示和集总的皮肤表面表示。特定于受试者的校准协议用于说明声门下阻抗参数和皮肤机械特性的单独调整。具有各种声音质量的持续元音的初步结果表明，就目前基于空气动力学的临床人声评估方法而言，声门下IBIF方案可产生可比的估计。对于两种声门气流测量值（最大流量偏斜率和调制分量的振幅），观察到的平均绝对误差小于10％，这与某些常见的语音障碍的病理生理有关，这是由声带的错误和/或滥用引起的。行为（即声带功能亢进）。所提出的方法进一步推进了基于颈部加速度信号的声音功能的动态评估，该评估先前仅限于估计发声持续时间，响度和音调。声门下IBIF也适用于语音通信中的其他门诊应用，