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ZeroSpeech2017
Published July 6, 2017 | Version v1
Dataset Open

Deep Learning Methods for Unsupervised Acoustic Modeling using GMM posteriograms (system #1)

Authors/Creators

  • Ansari TK1
  • Sonali Singh1
  • Rajath Kumar1
  • Sriram Ganapathy1
  • 1. LEAP Lab, Indian Institute of Science

Description

System combination of autoencoder and GMM-DNN features.  

Files

Files (42.1 GB)

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10_5281_zenodo_823688.tar.gz
md5:ce86e75cee7d65581daf073072342e3a
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403 403
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Data volume

Total data volume

2.0 TB 2.0 TB

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External resources

Indexed in
  • OpenAIRE

Communities

Keywords and subjects

Keywords

  • zerospeech
  • autoencoder
  • GMM

Details

DOI
10.5281/zenodo.823688
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DOI

10.5281/zenodo.823688

Markdown

[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.823688.svg)](https://doi.org/10.5281/zenodo.823688)

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Target URL

https://doi.org/10.5281/zenodo.823688
Resource type
Dataset
Publisher
Zenodo

Rights

License
cc-by-4.0 icon Creative Commons Attribution 4.0 International
The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited. Read more

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Technical metadata

Created
July 7, 2017
Modified
January 21, 2020

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