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Phoneme Recognition using pre-trained models Wav2vec2, HuBERT and WavLM. Throughout this project, we compared specifically three different self-supervised models, Wav2vec (2019, 2020), HuBERT (2021) and WavLM (2022) pretrained on a corpus of English speech that we will use in various ways to perform phoneme recognition for different languages wi…

  • Updated May 9, 2022
  • Python

Open-source PyTorch tool that traces live training signals back to the data samples causing them. Pause the training to find mislabels, outliers, and class imbalance in image, video, and LiDAR datasets. And train again.

  • Updated Jul 10, 2026
  • Python

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