---
license: cc-by-4.0
language:
- bn
- hi
- pa
- mr
- gu
base_model:
- parthiv11/stt_hi_conformer_ctc_large_v2
tags:
- speech_recognition
- entity_tagging
- dialect_prediction
- gender
- age
- intent
library_name: nemo
datasets:
- WhissleAI/indicvoices_hi_tagged_transcripts
- WhissleAI/indicvoices_pa_tagged_transcripts
- WhissleAI/indicvoices_mr_tagged_transcripts
---

# Indo-Aryan Speech Tagger - Conformer CTC Model

This speech tagger performs transcription for 5 Indian Languages: Hindi, Punjabi, Marathi, Bengali and Gujarati. It annotates key entities, predicts speaker age, dialect and intent.

## Model Details

- **Model Type**: NeMo ASR
- **Architecture**: Conformer CTC
- **Language**: Bengali, Hindi, Punjabi, Marathi, Gujarati
- **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_indo-aryan_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/