ASF-Conformer: Audio Scoring Conformer with FFC for Speaker Verification in Noisy Environments
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-53311-2_8
Reference25 articles.
1. Cai, D., Cai, W., Li, M.: Within-sample variability-invariant loss for robust speaker recognition under noisy environments. In: ICASSP 2020–2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 6469–6473. IEEE (2020). https://doi.org/10.1109/ICASSP40776.2020.9053407
2. Lecture Notes in Computer Science;L Chen,2021
3. Chen, S., et al.: Continuous speech separation with conformer. In: ICASSP 2021–2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 5749–5753. IEEE (2021). https://doi.org/10.1109/ICASSP39728.2021.9413423
4. Chung, J.S., et al.: In defence of metric learning for speaker recognition. arXiv preprint arXiv:2003.11982 (2020)
5. Dai, Z., Yang, Z., Yang, Y., Carbonell, J., Le, Q.V., Salakhutdinov, R.: Transformer-xl: Attentive language models beyond a fixed-length context. arXiv preprint arXiv:1901.02860 (2019)
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