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ZeroSpeech2017
Published July 6, 2017 | Version v1
Dataset Open

Deep Learning Methods for Unsupervised Acoustic Modeling using HMM posteriograms (system #2)

Authors/Creators

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

Description

System combination of HMM-DNN with auto encoder features

Files

Files (43.1 GB)

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10_5281_zenodo_823576.tar.gz
md5:d4d8f7c9f5fec89d72ad2c0babea0a3b
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1.7 TB 1.7 TB

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External resources

Indexed in
  • OpenAIRE

Communities

Keywords and subjects

Keywords

  • zerospeech
  • hmm
  • autoencoder

Details

DOI
10.5281/zenodo.823576
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DOI

10.5281/zenodo.823576

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[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.823576.svg)](https://doi.org/10.5281/zenodo.823576)

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Target URL

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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 24, 2020

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