# danyalimran93/Music-Emotion-Recognition

<https://repo.masters-masters.com/en/repos/danyalimran93/Music-Emotion-Recognition>

[Home](https://repo.masters-masters.com/en) › [danyalimran93](https://repo.masters-masters.com/en/owners/danyalimran93) › [Music-Emotion-Recognition](https://repo.masters-masters.com/en/repos/danyalimran93/Music-Emotion-Recognition)

danyalimran93/Music-Emotion-Recognition has 245 stars on GitHub. Its RepoMasters card: Prototype tier. A Machine Learning Approach of Emotional Model

| Field | Value |
| --- | --- |
| Owner | [danyalimran93](https://repo.masters-masters.com/en/owners/danyalimran93) |
| Stars | 245 |
| Forks | 61 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2017 |
| Topics | machine-learning, data-science, feature-extraction, feature-selection, feature-scaling, music-information-retrieval, digital-signal-processing, librosa |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [danyalimran93/Music-Emotion-Recognition](https://github.com/danyalimran93/Music-Emotion-Recognition) |

## Repository

A Machine Learning Approach of Emotional Model

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.