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New framework translates spoken Nepali to emotion-conditioned sign language avatars

By PulseAugur Editorial · [1 sources] ·

Researchers have developed NEST-V1, a novel multimodal framework designed for translating spoken Nepali words into emotion-conditioned sign language avatars. This pilot study focuses on four common Nepali words across three emotional states, demonstrating the feasibility of generating expressive sign language avatars. The system utilizes a shared acoustic encoder for simultaneous Automatic Speech Recognition and emotion classification, achieving high accuracy while maintaining parameter efficiency suitable for edge deployment. AI

IMPACT Establishes a technical foundation for real-time, emotionally expressive sign language communication systems for the hearing-impaired community.

RANK_REASON Academic paper detailing a new multimodal translation framework. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New framework translates spoken Nepali to emotion-conditioned sign language avatars

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Academic paper detailing a new multimodal translation framework. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Jatin Bhusal, Salma Tamang ·

    Low Resource Multimodal Translation of Nepali Spoken Words into Emotion-Conditioned Sign Language Avatars

    arXiv:2606.26107v1 Announce Type: cross Abstract: Sign language communication systems, that integrate emotional expression remain underexplored, particularly for low-resource languages. This pilot study presents NEST-V1 (Nepali Emotion and Speech Transformer - Version 1), a proof…

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