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Being the computer system in order to choose the system for skill training which was adjusted dynamically

机译:作为计算机系统,以便选择动态调整的技能培训系统

摘要

To familiarize SUMMARY train speech recognition system (57) Method and system for dynamically selecting words. The model each phoneme using a hidden Markov model speech recognition system is represented as a sequence of phonemes of each word. According to the probability that a corresponding codeword is spoken as part of the phoneme, familiarization training system ranks each phoneme for each frame. Familiarization training system collects the utterance spoken word corresponding is known. Then, familiarization training system aligns the codeword of each utterance for phoneme code word has been recognized as a part. Using the codewords aligned for frame aligned, familiarization training system calculates the average rank of each phoneme. Finally, familiarization training system to select the familiarization training for words that contain the phoneme low rank.
机译:为了熟悉发明概述列车语音识别系统(57),用于动态选择单词的方法和系统。使用隐藏的马尔可夫模型语音识别系统的每个音素的模型表示为每个单词的音素序列。根据说出相应的码字作为音素一部分的概率,熟悉度训练系统会为每个帧排列每个音素。熟悉训练系统收集相应的发话口语。然后,熟悉训练系统将每个发声的代码字对齐,因为已将音素代码字识别为一部分。使用对齐的代码字进行帧对齐,熟悉度训练系统将计算每个音素的平均等级。最后,熟悉训练系统为包含低音素的单词选择熟悉训练。

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