Hermes D J
Institute for Perception Research/IPO, Eindhoven, The Netherlands.
J Acoust Soc Am. 1990 Feb;87(2):866-73. doi: 10.1121/1.398896.
An algorithm is presented that correctly detects the large majority of vowel onsets in fluent speech. The algorithm is based on the simple assumption that vowel onsets are characterized by the appearance of rapidly increasing resonance peaks in the amplitude spectrum. Application to carefully articulated, isolated words results in a high number of false alarms, predominantly before consonants that can function as vowels in a different context such as another language or as a syllabic consonant. After applying some modifications in the setting of some parameters, this number of false alarms for isolated words can be reduced significantly, without the risk of a large number of missed detections. The temporal accuracy of the algorithm is better than 20 ms. This accuracy is determined with respect to the perceptual moment of occurrence of a vowel onset as determined by a phonetician.
本文提出了一种算法，该算法能正确检测出流利语音中绝大多数的元音起始点。该算法基于一个简单的假设，即元音起始点的特征是在幅度谱中出现快速增加的共振峰。将其应用于精心发音的孤立单词时，会产生大量误报，主要出现在某些在不同语境（如另一种语言或作为音节辅音）中可充当元音的辅音之前。在对一些参数设置进行一些修改后，孤立单词的误报数量可显著减少，且不存在大量漏检的风险。该算法的时间精度优于20毫秒。此精度是相对于语音学家确定的元音起始点的感知出现时刻来确定的。
