Data-Science-kosta / Speech-Emotion-Classification-with-PyTorch

This repository contains PyTorch implementation of 4 different models for classification of emotions of the speech.

Date Created 2020-09-30 (4 years ago)

Commits 28 (last one about a year ago)

Stargazers 191 (0 this week)

Watchers 7 (0 this week)

Forks 35

License unknown

Ranking

RepositoryStats indexes 579,238 repositories, of these Data-Science-kosta/Speech-Emotion-Classification-with-PyTorch is ranked #183,566 (68th percentile) for total stargazers, and #268,346 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #4,215/16,882.

Data-Science-kosta/Speech-Emotion-Classification-with-PyTorch is also tagged with popular topics, for these it's ranked: pytorch (#2,496/5908), transformer (#418/992), cnn (#197/539)

Other Information

Data-Science-kosta/Speech-Emotion-Classification-with-PyTorch has Github issues enabled, there are 4 open issues and 4 closed issues.

All Topics

cnn awgn pytorch stacked parallel spectrogram transformer attention-lstm mel-spectrogram ravdess-dataset data-augmentation speech-emotion-recognition

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1 commits on the default branch (master) since jan '22

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The only known language in this repository is Jupyter Notebook

updated: 2024-10-22 @ 10:17am, id: 299989122 / R_kgDOEeF4gg