Abdelhamied K A, Waldron M B, Fox R A
Department of Biomedical Engineering, Louisiana Tech University, Ruston 71272.
J Rehabil Res Dev. 1992 Summer;29(3):45-56. doi: 10.1682/jrrd.1992.07.0045.
The development and use of a two-step word segmentation method for automatic recognition of the speech produced by deaf persons are described in this paper. This method incorporates the segmental and temporal characteristics of deaf speech, particularly the intra- and inter-word pauses, to achieve accurate recognition. In the first step, estimates of word boundaries were obtained by detecting these pauses. In the second step, the word boundaries were determined by matching all possible groupings of speech segments against all reference templates during recognition. This method was applied to recognition of isolated words and connected-speech utterances produced by two deaf speakers. Recognition rates of 93.01 percent and 81.81 percent were obtained in recognizing isolated words and connected speech, respectively.
本文描述了一种用于自动识别聋人语音的两步分词方法的开发与应用。该方法结合了聋人语音的分段和时间特征，特别是词内和词间停顿，以实现准确识别。第一步，通过检测这些停顿来获得词边界的估计值。第二步，在识别过程中，通过将语音片段的所有可能分组与所有参考模板进行匹配来确定词边界。该方法应用于两位聋人说话者产生的孤立词和连贯语音话语的识别。在识别孤立词和连贯语音时，识别率分别达到了93.01%和81.81%。
