公开(公告)号：US20040083102A1

公开(公告)日：2004-04-29

申请号：US10638428

申请日：2003-08-12

Applicant: FRANCE TELECOM

Inventor： Samir Nefti ,  Olivier Boeffard

IPC: G10L015/12 ,  G10L015/08 ,  G10L015/00

CPC classification number: G10L15/10 ,  G10L15/14 ,  G10L15/18

Abstract: This method of automatic processing of a speech signal comprises: a step of determination of a sequence (H1N) of probability models corresponding to a given text (TXT); a step of determination of a sequence (O1T) of acoustic strings corresponding to the diction of the said given text (TXT); a step of alignment between the said sequence (O1T) of acoustic strings and the said sequence (H1N) of models (Hn); and a step of determination of a confidence index (In) of acoustic alignment for each association between a model (Hn) and an acoustic segment. It is characterised in that each step (80) of determination of an alignment confidence index (In-) is carried out at least from a combination of the model probability (Pm), a priori model probabilities (P(nulli)) and the average duration of occupancy of the models ({overscore (d)}(qij)).

Abstract translation: 这种自动处理语音信号的方法包括：确定对应于给定文本（TXT）的概率模型的序列（H1 ）的步骤; 确定与所述给定文本（TXT）的词典对应的声学串的序列（O1 ）之间进行对准的步骤; 以及确定模型（Hn）和声音段之间的每个关联的声学对准的置信指数（In）的步骤。 其特征在于，至少从模型概率（Pm），先验模型概率（P（lambdai））和平均值的平均值（P（lambdai））的组合来进行对准置信度指数（In-）的确定的每个步骤（80） 模型占用时间（{overscore（d（qj）））。