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Gujarati ASR
Gujarati Automatic Speech Recognition model trained using wav2vec2.
Model Details
- Base Model: facebook/wav2vec2-large-xlsr-53
- Task: Gujarati Speech Recognition
- Language: Gujarati
- Sampling Rate: 16kHz
- Vocabulary Size: 102
Dataset
- ylacombe/google-gujarati
- Male + Female subsets combined
Features
- Gujarati speech → Gujarati text
- Supports male and female voices
- Fine-tuned on Gujarati audio-text pairs
Usage
from transformers import Wav2Vec2Processor
from transformers import Wav2Vec2ForCTC
processor = Wav2Vec2Processor.from_pretrained("aijadugar/gujarati-asr")
model = Wav2Vec2ForCTC.from_pretrained("aijadugar/gujarati-asr")
Author
Bari Ankit Vinod
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