A Statistical WavLM Embedding Features with Auto-Encoder for Speech Emotion Recognition
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-50381-8_19
Reference18 articles.
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3. Samsonovich, A.: Socially emotional brain-inspired cognitive architecture framework for artificial intelligence. Cogn. Syst. Res. 60, 57–76 (2020). https://doi.org/10.1016/j.cogsys.2019.12.002
4. Busso, C., Bulut, M., Lee, C.C., Kazemzadeh, A., Mower, E., Kim, S., Narayanan, S.S.: IEMOCAP: interactive emotional dyadic motion capture database. Lang. Resour. Eval. 42, 335–359 (2008). https://doi.org/10.1007/s10579-008-9076-6
5. Chen, S., Wang, C., Chen, Z., Wu, Y., Liu, S., Chen, Z., Wei, F.: Wavlm: large-scale self-supervised pre-training for full stack speech processing. IEEE J. Selected Topics Signal Process. 16(6), 1505–1518 (2022). https://doi.org/10.1109/JSTSP.2022.3188113
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