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CONTINUOUS NUMERAL SPEECH RECOGNITION METHOD

机译:连续数字语音识别方法

摘要

PURPOSE: To obtain a high recognition rate in recognition of continuous numerals by realizing a context dependent model taking the influence of intonation coupling into consideration while suppressing the required learning data quantity. ;CONSTITUTION: The acoustic model corresponding to the respective numerals are composed of three partial acoustic models; a model for the part of the head of a word, a model for the part of the middle of a word, and a model for the part of ending of a word at the time of constituting the acoustic model corresponding to the respective numerals by extracting the acoustic characteristic quantity of numeral speeches and statistically modeling the acoustic characteristic quantity thereof. The model for the part of the head of the word and the model for the part of ending of the word among these models are prepd. in plural kinds for the one numeral according to the context of the numerals continuous before and after. The partial acoustic models meeting the context are connected and the characters corresponding to the input speeches are searched from the degree of coincidence with the input speeches at the time of recognition.;COPYRIGHT: (C)1996,JPO
机译:目的:通过实现一种上下文相关模型,在考虑到语调耦合的影响的同时抑制所需的学习数据量,从而获得连续数字识别的高识别率。 ;组成:与各个数字相对应的声学模型由三个部分声学模型组成;在通过提取来构成与各个数字相对应的声学模型时,用于词的头部的模型,用于词的中间的模型,以及用于词的结尾的模型数字语音的声学特征量并对其声学特征进行统计建模。在这些模型中,准备了单词的开头部分的模型和单词的结尾部分的模型。根据在前后连续的数字的上下文,一个数字具有多种。连接满足上下文的部分声学模型,并从识别时与输入语音的重合度中搜索与输入语音相对应的字符。;版权:(C)1996,JPO

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