Learning Speech Rate in Speech Recognition

2 Jun 2015Xiangyu ZengShi YinDong Wang

A significant performance reduction is often observed in speech recognition when the rate of speech (ROS) is too low or too high. Most of present approaches to addressing the ROS variation focus on the change of speech signals in dynamic properties caused by ROS, and accordingly modify the dynamic model, e.g., the transition probabilities of the hidden Markov model (HMM)... (read more)

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