There is a newer version of this record available.

Dataset Open Access

Pairwise Learning using Unsupervised Bottleneck Features for Zero-Resource Speech Challenge 2017 (System 1)

Yougen Yuan; Cheung-Chi Leung; Lei Xie; Hongjie Chen; Bin Ma; Haizhou Li


Citation Style Language JSON Export

{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.814376", 
  "title": "Pairwise Learning using Unsupervised Bottleneck Features for Zero-Resource Speech Challenge 2017 (System 1)", 
  "issued": {
    "date-parts": [
      [
        2017, 
        6, 
        15
      ]
    ]
  }, 
  "abstract": "<p>The system is for track1 alone. \u00a0We trained an antoencoder using unsupervised bottleneck features with word-pair information from Switchboard. The unsupervised bottleneck features was extracted from an extractor of multi-task learning deep neural networks (MTL-DNN). The word-pair information was the ground truth from Switchboard. The final features are obtained from the third layer in our pairwise trained autoencoder.</p>", 
  "author": [
    {
      "family": "Yougen Yuan"
    }, 
    {
      "family": "Cheung-Chi Leung"
    }, 
    {
      "family": "Lei Xie"
    }, 
    {
      "family": "Hongjie Chen"
    }, 
    {
      "family": "Bin Ma"
    }, 
    {
      "family": "Haizhou Li"
    }
  ], 
  "type": "dataset", 
  "id": "814376"
}
37
0
views
downloads
All versions This version
Views 373
Downloads 00
Data volume 0 Bytes0 Bytes
Unique views 333
Unique downloads 00

Share

Cite as