MiteshPuthran / Speech-Emotion-Analyzer

The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)

Date Created 2017-12-19 (7 years ago)
Commits 30 (last one 4 years ago)
Stargazers 1,335 (2 this week)
Watchers 36 (0 this week)
Forks 437
License mit
Ranking

RepositoryStats indexes 624,936 repositories, of these MiteshPuthran/Speech-Emotion-Analyzer is ranked #40,514 (94th percentile) for total stargazers, and #59,347 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #860/18,745.

MiteshPuthran/Speech-Emotion-Analyzer is also tagged with popular topics, for these it's ranked: deep-learning (#1,068/8755),  python3 (#295/4279),  data-science (#339/2208),  natural-language-processing (#200/1464),  neural-network (#181/1132),  keras (#109/805),  deep-neural-networks (#84/649),  speech-recognition (#64/556),  speech (#44/323),  natural-language-understanding (#15/125),  emotion-recognition (#5/106)

Other Information

MiteshPuthran/Speech-Emotion-Analyzer has 3 open pull requests on Github, 1 pull request has been merged over the lifetime of the repository.

Github issues are enabled, there are 20 open issues and 42 closed issues.

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The only known language in this repository is Jupyter Notebook

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updated: 2025-03-10 @ 05:03am, id: 114703482 / R_kgDOBtY8eg