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Speaker independent speech recognition system and method using neural network and DTW matching technique

机译:使用神经网络和DTW匹配技术的说话人独立语音识别系统和方法

摘要

Improved speaker independent speech recognition system and method are disclosed in which an utterance by an unspecified person into an electrical signal is input through a device such as a telephone, the electrical signal from the input telephone converting the electrical signal into a time series of characteristic multidimensional vectors, the time series of characteristic multidimensional vectors are received, each of the vectors being converted into a plurality of candidates so that the plurality of phonemes constitutes a plurality of strings of phonemes in time series as a plurality of candidates, the plurality of candidates of phonemes are compared simultaneously (one at a time) with a reference pattern of a reference string of phonemes for each word previously stored in a dictionary to determine which string of phonemes derived from the phoneme recognition means has a highest similarity to one of the reference strings of the phonemes for the respective words stored in the dictionary using a predetermined word matching technique, and at least one candidate of the words as a result of word recognition on the basis of one of the plurality of the strings of phonemes which has the highest similarity to the corresponding one of the reference strings of the respective words is output as the result of speech recognition.
机译:公开了一种改进的独立于说话者的语音识别系统和方法,其中通过电话之类的设备将未指定人员的话语输入到电信号中,来自输入电话的电信号将电信号转换成特征多维的时间序列。向量,接收特征多维向量的时间序列,将每个向量转换为多个候选,以使多个音素构成时间序列中的多个音素串,作为多个候选,针对先前存储在词典中的每个单词,同时(一次一次)将音素与参考音素参考串的参考模式进行比较,以确定从音素识别装置派生的哪个音素串与参考串之一具有最高相似性词典中存储的各个单词的音素使用预定的单词匹配技术,并且基于与多个音素的参考字符串之一的相似性最高的多个音素字符串之一,通过单词识别而得到至少一个单词候选。语音识别的结果是输出各个单词。

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