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A Convolutional Neural Network Smartphone App for Real-Time Voice Activity Detection
This paper presents a smartphone app that performs real-time voice activity detection based on convolutional neural network. Real-time implementation issues are discussed showing how the slow inference time associated with convolutional neural networks is addressed. The developed smartphone app is m...
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| Veröffentlicht in: | IEEE Access |
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| Hauptverfasser: | , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2018
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6150492/ https://ncbi.nlm.nih.gov/pubmed/30250774 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/ACCESS.2018.2800728 |
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