📢 Presenting IndicSeamless: A Speech Translation Model for Indian Languages 🎙️🌍 IndicSeamless is a speech translation model fine-tuned from SeamlessM4Tv2-large on 13 Indian languages. Trained on a curated subset of BhasaAnuvaad, the largest open-source Speech Translation dataset for Indian languages and English, this model enhances translation quality across diverse linguistic contexts. 🔹 Why IndicSeamless? Indian languages pose unique challenges in speech translation due to their linguistic diversity, resource limitations, and speech variations. IndicSeamless addresses these challenges by improving accuracy, fluency, and contextual relevance across multiple languages. 🔹 Key Features: ✅ Fine-tuned on a diverse subset of BhasaAnuvaad 🗂️ ✅ Handles spontaneous and read speech effectively 🗣️📖 ✅ Robust to noise variations and diverse accents 🎧 ✅ Optimized for real-world deployment in speech applications 🔹 Resources: 🔗 Demo: huggingface.co/spaces/ai4bha… 🔗 Model: huggingface.co/ai4bharat/ind… 🔗 Paper: arxiv.org/abs/2411.04699 This represents a significant step forward in multilingual speech translation for the Indian subcontinent. Please try out the demo hosted on @huggingface who have kindly allotted us an A100 GPU! Thanks, @reach_vb for the support!