Summary of Research Methods of Voice Activity

2021 
As neural networks are more and more widely used in various fields, speech signal processing has also achieved many remarkable results in the field of deep learning. As a very important part of the front-end processing part of voice signal processing, voice endpoint detection is the basis of various voice tasks. Carrying out research on voice endpoint detection technology is of great value and significance in promoting the development of voice signal processing. This article gives a detailed overview of the development of voice endpoint detection technology, introduces the beginning to the development of voice endpoint detection in recent years, and the maturity of the current very popular deep learning application in voice endpoint detection technology. The traditional voice endpoint detection and based on The development trend of deep learning voice endpoint detection has been analyzed, and it has revealed the shortcomings of traditional voice endpoint detection, the limitations of voice endpoint detection based on deep neural networks, and the future development direction, so that it can be better built based on depth Neural network voice endpoint detection system.
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