A Packet Loss Concealment Method Based on the Demucs Network Structure
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-0601-3_19
Reference18 articles.
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2. Suzuki, J., Taka, M.: Missing packet recovery techniques for low-bit-rate coded speech. IEEE J. Sel. Areas Commun. 7, 707–717 (1989). https://doi.org/10.1109/49.32334
3. Rodbro, C.A., Murthi, M.N., Andersen, S.V., Jensen, S.H.: Hidden Markov model-based packet loss concealment for voice over IP. IEEE Trans. Audio Speech Lang. Process. 14, 1609–1623 (2006). https://doi.org/10.1109/TSA.2005.858561
4. Lee, B.K., Chang, J.H.: Packet loss concealment based on deep neural networks for digital speech transmission. IEEE/ACM Trans. Audio Speech Lang. Process. 24, 378–387 (2016). https://doi.org/10.1109/TASLP.2015.2509780
5. Lin, J., Wang, Y., Kalgaonkar, K., Keren, G., Zhang, D., Fuegen, C.: A time-domain convolutional recurrent network for packet loss concealment. In: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Toronto, Canada, pp. 7148–7152 (2021). https://doi.org/10.1109/ICASSP39728.2021.9413595
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