Comparative Analysis on Speech Driven Gesture Generation
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Publisher
Springer Nature Switzerland
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https://link.springer.com/content/pdf/10.1007/978-3-031-68617-7_12
Reference22 articles.
1. Kucherenko, T., et al.: Gesticulator: a framework for semantically-aware speech-driven gesture generation. In: 2020, Proceedings of the 2020 Inter- national Conference on Multimodal Interaction: ICMI 2020, Association for Com- puting Machinery, pp. 242–250 (2020), https://doi.org/10.1145/3382507.3418815
2. Ahuja, C., et al.: No gestures left behind: learning relationships between spoken language and freeform gestures. In: Findings of the Association for Com- putational Linguistics: EMNLP 2020, Association for Computational Linguistics, pp. 1884–1895 (2020). ACLWeb, https://doi.org/10.18653/v1/2020.findings-emnlp.170
3. Ajay, S., Manisha, R., Nivarthi, P.M., Nadendla, S.H. and Kumar, C.S.: Comparative study of deep learning techniques used for speech enhancement. In: 2021 IEEE 6th International Conference on Computing, Communication and Automation (IC- CCA), Arad, Romania, 2021, pp. 161–165, https://doi.org/10.1109/ICCCA52192.2021.9666413
4. Ao, T., et al.: Rhythmic gesticulator: rhythm-aware co-speech gesture synthesis with hierarchical neural embeddings. ACM Trans. Graph. 41(6), 1–19 (2022). https://doi.org/10.1145/3550454.3555435
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