Add audioFlux: A library for audio and music analysis, feature extraction.
What is this Python project?
A library for audio and music analysis and feature extraction, which supports dozens of time-frequency analysis and transformation methods, as well as hundreds of corresponding time-domain and frequency-domain feature combinations, can be provided to the deep learning network for training, and can be used to study the classification, separation, music information retrieval (MIR), ASR and other tasks in the audio field.
What's the difference between this Python project and similar ones?
Systematic and multi-dimensional feature extraction and combination can be flexibly used for various task research and analysis
The performance is efficient, the core is mostly implemented in C, and FFT hardware acceleration based on different platforms is convenient for large-scale data feature extraction.
It is applicable to the mobile end and supports real-time calculation of audio stream at the mobile end.
Anyone who agrees with this pull request could submit an Approve review to it.
🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.
## 📋 Pull Request Information
**Original PR:** https://github.com/vinta/awesome-python/pull/2350
**Author:** [@liufeigit](https://github.com/liufeigit)
**Created:** 2/13/2023
**Status:** ✅ Merged
**Merged:** 3/30/2023
**Merged by:** [@vinta](https://github.com/vinta)
**Base:** `master` ← **Head:** `liufeigit-patch-1`
---
### 📝 Commits (1)
- [`ee32476`](https://github.com/vinta/awesome-python/commit/ee3247602b961b88de0b8ac4acbe67de5fe4c254) Update README.md
### 📊 Changes
**1 file changed** (+1 additions, -0 deletions)
<details>
<summary>View changed files</summary>
📝 `README.md` (+1 -0)
</details>
### 📄 Description
Add audioFlux: A library for audio and music analysis, feature extraction.
## What is this Python project?
A library for audio and music analysis and feature extraction, which supports dozens of time-frequency analysis and transformation methods, as well as hundreds of corresponding time-domain and frequency-domain feature combinations, can be provided to the deep learning network for training, and can be used to study the classification, separation, music information retrieval (MIR), ASR and other tasks in the audio field.
## What's the difference between this Python project and similar ones?
- Systematic and multi-dimensional feature extraction and combination can be flexibly used for various task research and analysis
- The performance is efficient, the core is mostly implemented in C, and FFT hardware acceleration based on different platforms is convenient for large-scale data feature extraction.
- It is applicable to the mobile end and supports real-time calculation of audio stream at the mobile end.
Anyone who agrees with this pull request could submit an *Approve* review to it.
---
<sub>🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.</sub>
Blocking a user prevents them from interacting with repositories, such as opening or commenting on pull requests or issues. Learn more about blocking a user.
📋 Pull Request Information
Original PR: https://github.com/vinta/awesome-python/pull/2350
Author: @liufeigit
Created: 2/13/2023
Status: ✅ Merged
Merged: 3/30/2023
Merged by: @vinta
Base:
master← Head:liufeigit-patch-1📝 Commits (1)
ee32476Update README.md📊 Changes
1 file changed (+1 additions, -0 deletions)
View changed files
📝
README.md(+1 -0)📄 Description
Add audioFlux: A library for audio and music analysis, feature extraction.
What is this Python project?
A library for audio and music analysis and feature extraction, which supports dozens of time-frequency analysis and transformation methods, as well as hundreds of corresponding time-domain and frequency-domain feature combinations, can be provided to the deep learning network for training, and can be used to study the classification, separation, music information retrieval (MIR), ASR and other tasks in the audio field.
What's the difference between this Python project and similar ones?
Anyone who agrees with this pull request could submit an Approve review to it.
🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.