NEST-V1 demonstrates feasibility of emotion-aware Nepali sign language avatar generation from speech with 81.1% ASR accuracy and 79.21% emotion accuracy on a small dataset using an efficient 22.1M parameter model.
arXiv preprint arXiv:2501.10666 , year =
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Low Resource Multimodal Translation of Nepali Spoken Words into Emotion-Conditioned Sign Language Avatars
NEST-V1 demonstrates feasibility of emotion-aware Nepali sign language avatar generation from speech with 81.1% ASR accuracy and 79.21% emotion accuracy on a small dataset using an efficient 22.1M parameter model.