Time domain speech enhancement with CNN and time-attention transformer
Speech enhancement in the time domain involves improving the quality and intelligibility of noisy speech by processing the waveform directly without the need for explicit feature extraction or domain transformation. Deep learning is a powerful approach for time domain speech enhancement, offering si...
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Main Authors: | , , , |
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Format: | Article |
Language: | English English |
Published: |
Elsevier
2024
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Subjects: | |
Online Access: | http://irep.iium.edu.my/111097/2/111097_Time%20domain%20speech%20enhancement%20with%20CNN_SCOPUS.pdf http://irep.iium.edu.my/111097/3/111097_Time%20domain%20speech%20enhancement%20with%20CNN.pdf http://irep.iium.edu.my/111097/ https://www.sciencedirect.com/science/article/abs/pii/S1051200424000332?via%3Dihub https://doi.org/10.1016/j.dsp.2024.104408 |
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Institution: | Universiti Islam Antarabangsa Malaysia |
Language: | English English |
Internet
http://irep.iium.edu.my/111097/2/111097_Time%20domain%20speech%20enhancement%20with%20CNN_SCOPUS.pdfhttp://irep.iium.edu.my/111097/3/111097_Time%20domain%20speech%20enhancement%20with%20CNN.pdf
http://irep.iium.edu.my/111097/
https://www.sciencedirect.com/science/article/abs/pii/S1051200424000332?via%3Dihub
https://doi.org/10.1016/j.dsp.2024.104408