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A new framework for recognition of Mandarin syllables with tones using sub-syllabic units

机译:利用亚音节单位识别带有音调的普通话音节的新框架

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Three classes of subsyllabic units for Mandarin syllables are defined, i.e., the initials, the finals, and the transitions. A new structure for Mandarin syllable recognition is developed, in which the tones and base syllables are recognized jointly and a total of 574 subsyllabic unit models will be enough to provide improved recognition performance. This approach has the potential to be extended to continuous Mandarin speech recognition, although the preliminary experiments demonstrated here are based on isolated syllables only.
机译:定义了三类普通话音节的亚音节单位,即首字母,结尾和过渡。开发了一种新的普通话音节识别结构,可以同时识别音调和基础音节,总共574个亚音节单位模型足以提供更好的识别性能。尽管此处演示的初步实验仅基于孤立的音节,但这种方法有可能扩展到连续的普通话语音识别。

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