基于VAD的方言交互系统的设计与实现

Zixin Liu, Ling Lei, Xinyu Huang, Xinyu Li, Hongiian Liu
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引用次数: 0

摘要

针对普通话用户与方言用户之间存在的沟通不畅的问题,我们设计了一个基于树莓派的便携式方言交互系统。我们使用科大讯飞进行识别和合成,使用图灵机器人进行意图理解和响应。使用语音活动检测(voice activity detection, VAD)对语音信号进行预处理,通过判断语音的起始点和结束点来去除噪声,分离语音信号,可以使识别结果和交互效果更加准确。树莓派较强的可扩展性和良好的硬件适应性使系统具有较好的实用性。
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Design and Realization of Dialect Interaction System Based on VAD
In view of the miscommunication problem between Mandarin users and dialect users, we design a portable dialect interaction system based on the raspberry pi. We use IFLYTEK for recognition and synthesis, Turing Robot for intention understanding and response. Recognition results and interaction effect can be more accurate by using voice activity detection (VAD) to preprocess speech signal, which removes noise and separates speech signals by judging the starting and ending points of speech. The strong scalability and good hardware adaptability of raspberry pi make the system have good practicability.
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