An user-friendly music information retrieval tools interfacing with Google Colab
Project description
audioviz-colab
- An user-friendly music information retrieval visualization API interfacing with Google Colab
- Coordinated by Prof. Li Su, Prof. Yu-Fen Huang from the Music and Culture Technology Lab, Academia Sinica, Taipei, Taiwan
- A collaration project with graduate students from National Tsing Hua University, Hsinchu, Taiwan
Introduction to this packages
- Custom visualization wrappers for open source module librosa
- Using open source graphing library Plotly to enhance visualization capabilities
- Direcctly integrated with Google Colab functions to provide platform-free user experience
- Please refer to official page for more details
Installation and Dependency
Installation
-
PyPi installation
pip install audioviz
-
setup.py
Developer Demo
Future Works
- Colab upload solution
- Direct instruction
- Programming Copilot
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
audioviz-0.3.1.tar.gz
(16.7 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
audioviz-0.3.1-py3-none-any.whl
(19.4 kB
view details)
File details
Details for the file audioviz-0.3.1.tar.gz.
File metadata
- Download URL: audioviz-0.3.1.tar.gz
- Upload date:
- Size: 16.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
79673d4a5fdbd7337560f891ce358c8fff1091cf9a124040e9d024939bb9a66c
|
|
| MD5 |
84574a59e6b2ebaf9b6b29db22017c70
|
|
| BLAKE2b-256 |
7928321be4528437bfe29c217183e05bffe225b3991cbbe54b64b573d27a654f
|
File details
Details for the file audioviz-0.3.1-py3-none-any.whl.
File metadata
- Download URL: audioviz-0.3.1-py3-none-any.whl
- Upload date:
- Size: 19.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
eefc93d0274d09f616e56cd35b675131232806b15cfb409bea86c4b6bc2999e5
|
|
| MD5 |
382f861b7e266b07e9c04ba58be200bf
|
|
| BLAKE2b-256 |
05fd428bae931a1e9b090babd7adf6dfb44dd958b2fd38cea5957db3e7c913a6
|
