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Method for automatically generating pronunciation dictionary in speech recognition system

机译:在语音识别系统中自动生成发音词典的方法

摘要

A method for automatically generating a pronunciation dictionary in a speech recognition system is disclosed. Pronunciation patterns of a large scale pronunciation dictionary are learned through a neural network without resorting to a phonetic knowledge, and the pronunciation sequences for input words are accurately formed by utilizing an exception grapheme pronunciation dictionary, an exception word pronunciation dictionary for graphemes and words prohibiting the formation of an accurate pronunciation dictionary through the learning neural network, thereby reducing the size of the memory and the amount of calculations. A multi-layer perceptron for directly mapping phonemes relevant to respective graphemes is taught by utilizing a neural network, so as to form an exception word pronunciation dictionary data base, an exception grapheme pronunciation dictionary data base, and a phoneme output multi-layer perceptron parameter data base for respective graphemes. The exception word pronunciation dictionary data base, the exception grapheme pronunciation dictionary data base, and the phoneme output multi-layer perceptron parameter data base for the input word thus pre-processed is inspected, to post-process the pronunciation sequences for the relevant word.
机译:公开了一种在语音识别系统中自动生成发音词典的方法。大型语音词典的发音模式是通过神经网络学习的,而无需借助语音知识,并且通过使用例外字素发音词典,用于字素的例外单词发音词典和禁止该单词的单词来准确地形成输入单词的发音序列。通过学习神经网络形成准确的发音词典,从而减少了内存的大小和计算量。通过利用神经网络来教导用于直接映射与各个音素相关的音素的多层感知器,以形成异常词发音词典数据库,异常音素发音词典数据库和音素输出多层感知器参数。各个字素的数据库。检查由此预处理的输入单词的异常单词发音词典数据库,异常字形发音词典数据库和音素输出多层感知器参数数据库,以对相关单词的发音序列进行后处理。

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