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RESEARCH OF SPEECH SIGNAL FREQUENCY CHARACTERISTIC EXTRACTION METHODS IN SPEECH RECOGNITION

机译:语音识别中语音信号频率特性提取方法的研究

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摘要

Speech recognition task has now an important mean. There usually extracts domains, phonemes, syllables and whole words as recognition units. Following methods is widely used for recognizing these units: dynamic programming, Hidden Markov Models, neural networks, decision trees and fuzzy search.
机译:语音识别任务现在具有重要意义。通常会将域,音素,音节和整个单词作为识别单位提取。以下方法广泛用于识别这些单位:动态编程,隐马尔可夫模型,神经网络,决策树和模糊搜索。

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