Mandal Tanumay, Rao Krothapalli Sreenivasa, Gupta Sanjay K
Indian Institute of Technology Kharagpur, Kharagpur, India.
Healthc Technol Lett. 2020 Nov 10;7(5):132-138. doi: 10.1049/htl.2019.0085. eCollection 2020 Oct.
Robust detection of glottal instants is essential for various speech and biomedical applications. Glottal closing and glottal opening are two crucial instants/epochs of a glottal cycle. The first-order derivative of the Electroglottographic (EGG) signal demonstrates important peaks at those locations for standard voicing, but the detection of glottal instants becomes erroneous when the peak to peak amplitude of the EGG signal is very low, irregular and unpredictable. In this work, a new efficient method is proposed for identification of glottal instants from the EGG signals including the segments of the signals where the signals are feeble with irregular periodicity. The overall accuracy of detection will be enhanced by identifying the glottal instants for the whole part of the signal including the vulnerable segments of signal. As the phase of a signal is uniform in nature, the phase information of the EGG signal has been explored to detect glottal instants accurately. Under low strength of the EGG signal, the proposed method remarkably has better performance compared to the existing instants detection methods and for pathological EGG signal, the detection accuracy of glottal instants is better than other existing methods.
可靠地检测声门瞬间对于各种语音和生物医学应用至关重要。声门闭合和声门打开是声门周期的两个关键瞬间/时期。对于标准发声，电声门图（EGG）信号的一阶导数在这些位置显示出重要的峰值，但是当EGG信号的峰峰值幅度非常低、不规则且不可预测时，声门瞬间的检测就会出错。在这项工作中，提出了一种新的有效方法，用于从EGG信号中识别声门瞬间，包括信号微弱且具有不规则周期性的信号段。通过识别包括信号易损段在内的整个信号部分的声门瞬间，检测的整体准确性将得到提高。由于信号的相位本质上是均匀的，因此已探索EGG信号的相位信息以准确检测声门瞬间。在EGG信号强度较低的情况下，与现有的瞬间检测方法相比，所提出的方法具有显著更好的性能，并且对于病理性EGG信号，声门瞬间的检测精度优于其他现有方法。
