Swecha Telangana Asr Base Model

--- language: - te license: apache-2.0 base_model: openai/whisper-small pipeline_tag: automatic-speech-recognition tags: - automatic-speech-recognition - speech-to-text - whisper - telugu - asr - swecha - telangana --- # Swecha Telangana ASR Base Model ## Model Description The **Swecha Telangana ASR Base Model** is a fine-tuned Automatic Speech Recognition (ASR) model built on **OpenAI Whisper Small** for Telugu speech recognition. This model has been fine-tuned using the **Mozilla Common Voice Scripted Speech 26.0 Telugu** dataset through the Mozilla AI Speech-to-Text Finetuning Blueprint. ## Base Model - openai/whisper-small ## Language - Telugu (te) ## Training Dataset - Mozilla Common Voice Scripted Speech 26.0 – Telugu - License: CC0-1.0 ## Training Configuration | Parameter | Value | |-----------|-------| | Base Model | Whisper Small | | Language | Telugu | | Learning Rate | 1e-5 | | Batch Size | 32 | | Gradient Accumulation Steps | 1 | | Warmup Steps | 50 | | Max Steps | 50 | | Mixed Precision | FP16 | | Evaluation Metric | Word Error Rate (WER) | ## Intended Uses - Telugu Speech Recognition - Speech-to-Text Applications - Voice Assistants - Accessibility Tools - Educational Applications - Automatic Caption Generation - Research in Indian Language ASR ## Limitations - Trained only on Mozilla Common Voice Telugu speech. - Performance may decrease for: - Noisy environments - Code-mixed speech - Unseen accents - Domain-specific vocabulary ## Evaluation Results | Metric | Before Fine-tuning | After Fine-tuning | |--------|--------------------:|------------------:| | WER | 211.71 | 75.92 | | CER | 174.02 | 46.38 | The fine-tuned model significantly improves Telugu speech recognition compared to the baseline Whisper Small model. ## Citation If you use this model, please cite: - Mozilla Common Voice - Mozilla AI Speech-to-Text Finetuning Blueprint - OpenAI Whisper ## Author **JYOTHI SANJAY** Hugging Face: https://huggingface.co/jyothisanjay