mlsanityData to 14 Oct 2026

Dolphin: A Large-Scale Automatic Speech Recognition Model for Eastern Languages

arXiv 2503.20212 ↗First posted 26 Mar 2025cs.CL eess.AScited by 8

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Abstract (arXiv)

This report introduces Dolphin, a large-scale multilingual automatic speech recognition (ASR) model that extends the Whisper architecture to support a wider range of languages. Our approach integrates in-house proprietary and open-source datasets to refine and optimize Dolphin's performance. The model is specifically designed to achieve notable recognition accuracy for 40 Eastern languages across East Asia, South Asia, Southeast Asia, and the Middle East, while also supporting 22 Chinese dialects. Experimental evaluations show that Dolphin significantly outperforms current state-of-the-art open-source models across various languages. To promote reproducibility and community-driven innovation, we are making our trained models and inference source code publicly available.

Key facts. Cited by 8 papers in the map (data through 14 Oct 2026). Builds on 38 of its 51 references that are in the map. First posted on arXiv 26 Mar 2025.

Builds on

38 of 51 references.

References · 38

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26 more
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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 5; 2026: 3.

8 papers.