语音应力检测的强度特征

L. Czap, J. Pintér
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引用次数: 11

摘要

超分词特征是语音的基本属性。它们不仅可以提高合成语音的自然度,而且可以提高语音控制逻辑系统中机器语音识别的性能。在语言学中,重音是单词中某些音节或短语或句子中某些单词的相对强调。该术语也用于音节内类似的语音突出模式。单词中音节上的重音称为单词重音或词汇重音。句子中单词的重音称为句子重音或韵律重音。句子和单词的重音是重要的韵律特征。通常用于重音检测的特征之一是音节的能量,但元音的平均能量是多种多样的。重读弱元音的能量可能比不重读强元音的能量低。我们将实际元音的振幅与其平均元音的振幅进行比较,以显示音节的重读或非重读性质。元音的平均能量是由经过数百人语音训练的语音识别器获得的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Intensity feature for speech stress detection
Suprasegmental features are fundamental properties of speech. They can improve not only the naturalness of synthesized speech, but the performance of machine speech recognition in voice controlled logistic systems. In linguistics, stress is the relative emphasis that may be given to certain syllables in a word, or to certain words in a phrase or sentence. The term is also used for similar patterns of phonetic prominence inside syllables. The stress placed on syllables within words is called word stress or lexical stress. The stress placed on words within sentences is called sentence stress or prosodic stress. Sentence and word stress are crucial prosodic features. One of the features usually used for stress detection is the energy of syllables, but the average energies of vowels are various. Energy of a stressed weak vowel can be lower than that of an unstressed strong vowel. We compare the amplitude of the actual vowel to that of its average to show the stressed or unstressed nature of the syllable. Average energies of vowels are obtained from a speech recognizer trained with voices of hundreds of speakers.
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