Harveenchadha/vakyansh-wav2vec2-sanskrit-sam-60
🧠 AI ModelHarveenchadha
A specialized Wav2Vec2 model fine-tuned for high-accuracy automatic speech recognition in the Sanskrit language.
The vakyansh-wav2vec2-sanskrit-sam-60 model represents a significant step forward in applying modern deep learning architectures to low-resource or classical languages like Sanskrit. Built upon the foundational Wav2Vec2 framework, which utilizes self-supervised learning to extract meaningful representations from raw audio, this model has been specifically adapted for the phonological and grammatical nuances of Sanskrit. By utilizing the Vakyansh dataset, the model achieves high performance in transcribing spoken Sanskrit into text. It is designed for seamless integration into existing pipelines via the Hugging Face Transformers library, supporting deployment on various cloud infrastructures including Azure. This model is particularly useful for developers building voice-enabled applications, digital archives, or educational tools that require accurate Sanskrit speech processing. Its architecture ensures efficient inference while maintaining the structural integrity of the input audio, making it a reliable choice for academic and technical projects focused on Indian linguistic heritage.
💡Highlights
- ├─Wav2Vec2-based ASR architecture
- ├─Optimized for Sanskrit speech
- └─Hugging Face Transformers ready
🎯For
- ├─Computational linguists
- ├─AI researchers
- └─Sanskrit scholars