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Acoustic models with structured hidden dynamics with integration over many possible hidden trajectories

机译:具有结构化的隐藏动力学的声学模型,并集成了许多可能的隐藏轨迹

摘要

A method of producing at least one possible sequence of vocal tract resonance (VTR) for a fixed sequence of phonetic units, and producing the acoustic observation probability by integrating over such distributions is provided. The method includes identifying a sequence of target distributions for a VTR sequence corresponding to a phone sequence with a given segmentation. The sequence of target distributions is applied to a finite impulse response filter to produce distributions for possible VTR trajectories. Then these distributions are applied to a linearized nonlinear function to produce the acoustic observation probability for the given sequence of phonetic units. This acoustic observation probability is used for phonetic recognition.
机译:提供了一种为固定的语音单元序列产生至少一个可能的声道共振(VTR)序列,并通过对这种分布进行积分来产生声学观察概率的方法。该方法包括识别对应于具有给定分段的电话序列的VTR序列的目标分布的序列。将目标分布的顺序应用于有限脉冲响应滤波器,以生成可能的VTR轨迹的分布。然后,将这些分布应用于线性非线性函数,以产生给定语音单元序列的声学观察概率。该声学观察概率用于语音识别。

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