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README.md
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# K-means (Quantization)
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## <font color="red"> Work In Progress .... </font>
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This folder contains pre-trained K-means models for the LibriSpeech Dataset.
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The model serves to quantize self-supervised representations into discrete representation. Thus representations can be used as a discrete audio input for various tasks including classification, ASR and speech gneration.
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It supports kmeans models using the features from HuBERT, WAVLM or Wav2Vec.
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<br/><br/>
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# K-means (Quantization)
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|
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This folder contains pre-trained K-means models for the LibriSpeech Dataset.
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| 15 |
The model serves to quantize self-supervised representations into discrete representation. Thus representations can be used as a discrete audio input for various tasks including classification, ASR and speech gneration.
|
| 16 |
It supports kmeans models using the features from HuBERT, WAVLM or Wav2Vec.
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