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---
license: cc-by-4.0
language:
- mr
base_model:
- parthiv11/stt_hi_conformer_ctc_large_v2
tags:
- speech_recognition
- entity_tagging
- dialect_prediction
- gender
- age
- intent
library_name: nemo
---
# Marathi Speech Tagger - Conformer CTC Model
This speech tagger performs transcription for Marathi, annotates key entities, predicts speaker age, dialect and intent.
## Model Details
- **Model Type**: NeMo ASR
- **Architecture**: Conformer CTC
- **Language**: Marathi
- **Training Data**: AI4Bharat IndicVoices Marathi 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_mr_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/ |