| --- |
| language: en |
| tags: |
| - audio |
| - speech-recognition |
| - wav2vec2 |
| - tokenizer |
| license: apache-2.0 |
| --- |
| |
| # my-wav2vec2-processor |
|
|
| This is a Wav2Vec2 processor (tokenizer + feature extractor) for speech recognition. |
|
|
| - **Base model**: facebook/wav2vec2-base-960h |
| - **Uploaded by**: Utkarshg02 |
| - **Intended use**: Preprocessing audio data for Automatic Speech Recognition (ASR) tasks. |
|
|
| ## How to Use |
|
|
| ```python |
| 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) |
| |
