Voice Activity Detection Using Neural Network (Special Issue on the Latest Development of Telecommunication Research)

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概要

• 論文の詳細を見る

• Voice activity detection (VAD) is to determine whether short time speech frame is voice or silence. VAD is usuful in reducing the mean speech coding rate by suppressing transmission during silence perioda, and is effective in transmitting speech and other data simultaneously. This letter describes a VAD system that uses a neural network. The neural network gets several parameters by analyzing slices of the speech wave form, and outputs only scalar vaue related to voice activity. This output is compared to a threshold to determine whether the slice is voice or silence. The mean code transfer rate can be reduced to less than 50% by using the proposed VAD system.

• 社団法人電子情報通信学会の論文
• 1998-12-25

著者

• Ikedo Jotaro

  Radio Communication System Laboratory Of Ntt Wireless Systems Laboratorues : (presently) Wireless Co

関連論文

• Voice Activity Detection Using Neural Network (Special Issue on the Latest Development of Telecommunication Research)

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