公开(公告)号：US4802224A

公开(公告)日：1989-01-31

申请号：US909993

申请日：1986-09-22

申请人： Yoshinao Shiraki ,  Masaaki Honda

发明人： Yoshinao Shiraki ,  Masaaki Honda

IPC分类号： G10L15/06 ,  G10L19/00 ,  G10L5/00

CPC分类号： G10L15/063 ,  G10L19/0018

摘要： A time series of spectral parameters is extracted from a learning speech, the spectral parameters are divided into a plurality of segments for each voice interval, and the segments are clustered into a plurality of clusters. For each cluster an initial reference pattern representing the cluster is computed. The segment boundaries are corrected using the computed reference patterns (a correcting step), the segments of the corrected spectral parameter time series are clustered (a clustering step), and for each cluster, a reference pattern representing the cluster is computed (a reference pattern computing step). The correcting step, the clustering step, and the reference pattern computing step are performed at least once, and the reference patterns obtained by the last reference pattern computing step are regarded as reference patterns desired to be obtained.

摘要翻译： 从学习语音中提取时间序列的频谱参数，将频谱参数划分成用于每个语音间隔的多个片段，并将片段聚类成多个簇。 对于每个簇，计算表示簇的初始参考模式。 使用所计算的参考图案（校正步骤）校正分段边界，校正的光谱参数时间序列的分段被聚类（聚类步骤），并且对于每个聚类，计算表示聚类的参考图案（参考图案 计算步骤）。 执行校正步骤，聚类步骤和参考图案计算步骤至少一次，并且将由最后的参考图案计算步骤获得的参考图案视为期望获得的参考图案。