Voice activity detection in noisy conditions using tiny convolutional neural network
The paper investigates the problem of voice activity detection from a noisy sound signal. An extremely compact convolutional neural network is proposed. The model has only 385 trainable parameters. Proposed model doesn’t require a lot of computational resources that allows to use it as part of the “...
Main Authors: | R. S. Vashkevich, E. S. Azarov |
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Format: | Article |
Language: | Russian |
Published: |
The United Institute of Informatics Problems of the National Academy of Sciences of Belarus
2020-06-01
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Series: | Informatika |
Subjects: | |
Online Access: | https://inf.grid.by/jour/article/view/968 |
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