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README.md

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+# Bengali Speech Tagger - Conformer CTC Model
+
+This speech tagger performs transcription for Bengali, annotates key entities, predicts speaker age, dialect and intent.
+
+## Model Details
+
+- **Model Type**: NeMo ASR
+- **Architecture**: Conformer CTC
+- **Language**: Bengali
+- **Training Data**: AI4Bharat IndicVoices Bengali V1 and V2 dataset
+- **Task**: Speech Recognition with Entity Tagging
+
+## Usage
+
+```python
+import nemo.collections.asr as nemo_asr
+
+# Load model
+asr_model = nemo_asr.models.EncDecCTCModel.from_pretrained('WhissleAI/speech-tagger_be_ctc_meta')
+
+# Transcribe audio
+transcription = asr_model.transcribe(['path/to/audio.wav'])
+print(transcription[0])
+```
+
+## Model Training
+
+- Base model: Conformer CTC
+- Fine-tuned on AI4Bharat IndicVoices Marathi dataset
+- Optimized for real-time transcription
+
+## License & Attribution
+
+Please cite AI4Bharat when using this model:
+https://indicvoices.ai4bharat.org/