This paper proposes a new procedure to detect Glottal Closure and Opening Instants (GCIs and GOIs) directly from speech waveforms. The procedure is divided into two successive steps. First a mean-based signal is computed, and intervals where speech events are expected to occur are extracted from it. Secondly, at each interval a precise position of the speech event is assigned by locating a discontinuity in the Linear Prediction residual. The proposed method is compared to the DYPSA algorithm on the CMU ARCTIC database. A significant improvement as well as a better noise robustness are reported. Besides, results of GOI identification accuracy are promising for the glottal source characterization.

中文翻译：

---

从语音信号中即时检测声门闭合和打开

本文提出了一种直接从语音波形中检测声门闭合和打开瞬间（GCI 和 GOI）的新程序。该过程分为两个连续的步骤。首先计算一个基于均值的信号，并从中提取预期发生语音事件的间隔。其次，通过定位线性预测残差中的不连续点，在每个间隔分配语音事件的精确位置。将所提出的方法与 CMU ARCTIC 数据库上的 DYPSA 算法进行了比较。报告了显着的改进以及更好的噪声鲁棒性。此外，GOI 识别精度的结果对于声门声源表征很有希望。