wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations
Paper
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2006.11477
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Published
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8
This is a Wav2Vec2 processor (tokenizer + feature extractor) for speech recognition.
from transformers import Wav2Vec2Processor
processor = Wav2Vec2Processor.from_pretrained("Utkarshg02/my-wav2vec2-processor")
# Example: Processing an audio array
inputs = processor(audio_array, sampling_rate=16000, return_tensors="pt")
## Limitations and Biases
- Only provides preprocessing (feature extraction + tokenization).
- Base model is trained on English; may not work well on other languages or accents.
## License
This processor follows the same license as the base model: Apache 2.0.
## References
- [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/wav2vec2-base-960h)
- [Wav2Vec2 Paper](https://arxiv.org/abs/2006.11477)