hubert large ll60k
facebookIntroduction
The HuBERT-LARGE-LL60K model is a large, self-supervised speech representation model developed by Facebook AI, designed for tasks such as speech recognition, generation, and compression. It is pretrained on 16kHz sampled speech audio, utilizing a unique self-supervised learning approach to address challenges in speech representation.
Architecture
HuBERT (Hidden-Unit BERT) addresses three specific challenges in speech representation: multiple sound units per utterance, the lack of a lexicon during pre-training, and variable lengths of sound units without explicit segmentation. The model applies a BERT-like prediction loss only over masked regions, encouraging it to learn an integrated acoustic and language model. The model uses offline clustering to provide aligned target labels, starting with a k-means teacher and improving through iterations.
Training
The HuBERT model was pretrained using the Libri-Light dataset, which consists of 60,000 hours of speech data. It employs a self-supervised learning method, relying on the consistency of unsupervised clustering. The model demonstrated competitive performance, matching or surpassing the state-of-the-art for various fine-tuning subsets of the Librispeech and Libri-Light benchmarks.
Guide: Running Locally
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Clone the Repository:
- Visit the original model repository at fairseq HuBERT.
- Clone the repository to your local machine.
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Set Up the Environment:
- Install dependencies using PyTorch and any required libraries (e.g.,
transformers
,fairseq
).
- Install dependencies using PyTorch and any required libraries (e.g.,
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Preprocess the Data:
- Ensure your audio data is sampled at 16kHz.
- Follow the preprocessing steps as outlined in the HuBERT repository documentation.
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Run the Model:
- Use the model with a speech tokenizer for tasks like speech recognition. Refer to the Hugging Face blog for guidance on fine-tuning.
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Suggest Cloud GPUs:
- For optimal performance, consider using cloud services like AWS EC2, Google Cloud Compute Engine, or Azure for access to powerful GPUs.
License
The HuBERT-LARGE-LL60K model is released under the Apache-2.0 license, which permits usage, modification, and distribution under specified conditions.