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https://github.com/bagustris/disertasi-ser

Repository for PhD activity (dissertation S3) with focus on speech emotion recognition, JAIST 2017~2021

https://github.com/bagustris/disertasi-ser

Science Score: 46.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ○
    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
  • ✓
    Academic publication links
    Links to: acm.org
  • ✓
    Committers with academic emails
    1 of 2 committers (50.0%) from academic institutions
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (8.2%) to scientific vocabulary

Keywords

dissertation dissertation-project speech-emotion-classification speech-emotion-detection speech-emotion-recognition
Last synced: 5 months ago · JSON representation

Repository

Repository for PhD activity (dissertation S3) with focus on speech emotion recognition, JAIST 2017~2021

Basic Info
  • Host: GitHub
  • Owner: bagustris
  • Language: TeX
  • Default Branch: master
  • Homepage:
  • Size: 59.7 MB
Statistics
  • Stars: 3
  • Watchers: 1
  • Forks: 1
  • Open Issues: 0
  • Releases: 0
Topics
dissertation dissertation-project speech-emotion-classification speech-emotion-detection speech-emotion-recognition
Created almost 8 years ago · Last pushed almost 4 years ago
Metadata Files
Readme

README.md

disertasi-ser

Title: Dimensional Speeh Emotion Recognition by Fusing Acoustic and Linguistic Information
Repository for PhD activity, JAIST 2017~2021 - README.md: PhD resources - progress: progress monthly, delivered to sensei - s3_node.md: Daily journal of PhD life - code : (python) codes to obtain results and plots

PhD Resources

I pursued my PhD in theme of speech emotion recognition. I used two information/features: acoustic and text feature. Here are list of resources I used in my research. I keep to make this list as simple as I can to focus on the most important materials only. For more complete materials, see references in my dissertation.

Deep Learning

Speech Recognition

(Speech) emotion recognition

Acoustic signal processing

NLP/Text processing

Writing

Owner

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

Researcher @aistairc @VibrasticLab

GitHub Events

Total
Last Year

Committers

Last synced: 8 months ago

All Time
  • Total Commits: 163
  • Total Committers: 2
  • Avg Commits per committer: 81.5
  • Development Distribution Score (DDS): 0.037
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Bagus Tris Atmaja b****s@y****m 157
bagustris b****s@j****p 6
Committer Domains (Top 20 + Academic)
jaist.ac.jp: 1

Issues and Pull Requests

Last synced: 8 months ago

All Time
  • Total issues: 0
  • Total pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Total issue authors: 0
  • Total pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
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
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
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Dependencies

code/requirement.txt pypi
  • audiosegment ==0.22.2
  • keras ==2.3.0
  • librosa ==0.7.2
  • matplotlib ==3.3.0
  • numpy ==1.19.0
  • pyaudioanalysis ==0.3.5
  • scikit-learn ==0.20.2
  • tensorflow-gpu ==1.14