Lucas W E, Hudson W
Department of Electrical and Computer Engineering, Kansas State University, Manhattan 66506.
Biomed Sci Instrum. 1994;30:147-52.
This paper presents an adaptive algorithm for the automatic segmentation of continuous speech into voiced, unvoiced, and silence regions (V/U/S). The procedure presented is based on the use of a digital filter bank with control parameters established using formant frequencies of voiced segments of speech. This procedure makes it possible to separate continuous speech into syllable like structures. The use of these speech segments makes possible the determination of stuttered speech. Special care is given to the handling of prolongations and repetitions (audible and silent) to insure they are properly handled by the segmenting algorithm. Segmentation experiments have been conducted on male and female subjects to test the reliability of the system at segmenting fluent and stuttered continuous speech.
本文提出了一种自适应算法，用于将连续语音自动分割为浊音、清音和静音区域（V/U/S）。所提出的过程基于使用数字滤波器组，其控制参数通过语音浊音段的共振峰频率来确定。该过程使得将连续语音分离为类似音节的结构成为可能。利用这些语音段可以确定口吃语音。特别注意对延长和重复（可听和静音）的处理，以确保分割算法能正确处理它们。已经对男性和女性受试者进行了分割实验，以测试该系统在分割流利和口吃连续语音时的可靠性。
