Data

Tools

Indexes

Applications

Experiments

Open Source Science

https://github.com/bagustris/ser_icsigsys2019

Repository of code for Speech emotion recognition using voiced speech and attention model, submitted to ICSigSys 2019

https://github.com/bagustris/ser_icsigsys2019

Science Score: 26.0%

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
  • ○
    Committers with academic emails
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (6.6%) to scientific vocabulary

Keywords

speech-emotion-recognition voiced-speech
Last synced: 11 months ago · JSON representation

Repository

Repository of code for Speech emotion recognition using voiced speech and attention model, submitted to ICSigSys 2019

Basic Info
  • Host: GitHub
  • Owner: bagustris
  • Language: Python
  • Default Branch: master
  • Size: 29.7 MB
Statistics
  • Stars: 13
  • Watchers: 1
  • Forks: 4
  • Open Issues: 2
  • Releases: 0
Topics
speech-emotion-recognition voiced-speech
Created over 7 years ago · Last pushed over 6 years ago
Metadata Files
Readme

README.md

Speech emotion recognition using voiced speech and BLSTM with attention model

This repository contains code for the following paper: "Speech emotion recognition based on voiced speech using LSTM with attention model", prepared to be submitted on ICSygSys 2019. The main code (jupyter-noteboook) is ICSigSys4.ipynb. Other codes are borrowed from other repositories (see on each directory).

Step to reproduce the result:
- Download IEMOCAP data - Run mocapcollectdata.py (copyed from tripathi's repo) - Run save_feature.py (change what you need) - Run SERICSigSys2019/code/pythonfiles/ICSigSys4.ipynb

Besides notebook, .py python files are provided.

Requirement

The python used is version 3.6 with latest modules for each packages (at the time of writing (July 2019)).

Owner

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

Researcher @aistairc @VibrasticLab

GitHub Events

Total
  • Watch event: 1
Last Year
  • Watch event: 1

Committers

Last synced: about 1 year ago

All Time
  • Total Commits: 7
  • Total Committers: 1
  • Avg Commits per committer: 7.0
  • Development Distribution Score (DDS): 0.0
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
bagustris b****s@y****m 7

Issues and Pull Requests

Last synced: about 1 year ago

All Time
  • Total issues: 2
  • Total pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Total issue authors: 2
  • Total pull request authors: 0
  • Average comments per issue: 2.5
  • 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
View more stats
Top Authors
Issue Authors
  • jinsple (1)
  • yujj1013 (1)
Pull Request Authors
Top Labels
Issue Labels
Pull Request Labels