Scikit-learn
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@@ -11,8 +11,6 @@ library_name: sklearn
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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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  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.