Graph Clustering.pdf

202109_INTERSPEECH_shun-tak.paper.pdf
Preview of Graph Clustering
🔗 Source: ahcweb01.naist.jp
📊 Size: 345 KB
📄 Pages: 5 pages
⬇️ Downloads: 129

Summary

This work proposes an unsupervised neural-based graph clustering approach for discovering variable-length speech representation from unannotated speech data, addressing the high bit-rate problem in zero-resource speech technology by learning a coarser form of speech representation that spans time frames, using vector-quantized contrastive predictive coding (VQCPC) and graph clustering based on topology-adaptive graph convolutional networks (TAGCN) and deep modularity networks (DMoN).

Description

This work proposes an unsupervised neural-based graph clustering approach for discovering variable-length speech representation from unannotated speech data,...

Technical Information

  • File Format: PDF
  • File Size: 345 KB
  • Pages: 5
  • Language: EN
  • Total Downloads: 129
  • Last Updated: 3 weeks ago

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