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https://github.com/bagustris/ti

Effect of different splitting criteria on the performance of speech emotion recognition; text-independent (TI) plays crucial role

https://github.com/bagustris/ti

Science Score: 26.0%

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    CITATION.cff file
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    codemeta.json file
    Found codemeta.json file
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    .zenodo.json file
    Found .zenodo.json file
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    JOSS paper metadata
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    Scientific vocabulary similarity
    Low similarity (1.8%) to scientific vocabulary

Keywords

paper-with-code speech-emotion-recognition
Last synced: 5 months ago · JSON representation

Repository

Effect of different splitting criteria on the performance of speech emotion recognition; text-independent (TI) plays crucial role

Basic Info
  • Host: GitHub
  • Owner: bagustris
  • License: mit
  • Language: Python
  • Default Branch: master
  • Homepage:
  • Size: 14.8 MB
Statistics
  • Stars: 1
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Topics
paper-with-code speech-emotion-recognition
Created about 4 years ago · Last pushed almost 4 years ago
Metadata Files
Readme License

README.md

Effect of different splitting criteria on the performance of speech emotion recognition

tldr: text-independent (TI) plays crucial role in SER. Different linguistic information in training and test phase resulted in different performance.

Citation

B. T. Atmaja and A. Sasou, “Effect of different splitting criteria on the performance of speech emotion recognition,” In Proc. 2021 IEEE REGION 10 CONFERENCE (TENCON).

Owner

  • Name: Bagus Tris Atmaja
  • Login: bagustris
  • Kind: user
  • Location: Tsukuba
  • Company: AIST

Researcher @aistairc @VibrasticLab

GitHub Events

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Last synced: 8 months ago

All Time
  • Total Commits: 11
  • Total Committers: 1
  • Avg Commits per committer: 11.0
  • Development Distribution Score (DDS): 0.0
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
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Bagus Tris Atmaja b****s@y****m 11

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Last synced: 8 months ago

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  • Average comments per issue: 0
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  • Bot issues: 0
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Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
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  • Average comments per issue: 0
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