mindspore-lab/mindaudio
A toolbox of audio models and algorithms based on MindSpore
This tool helps audio engineers, researchers, and data scientists process raw audio files for various analysis tasks. It takes audio recordings in common formats and can extract features like spectrograms or mel-filter banks, which are crucial for further analysis or machine learning model training. It's designed for professionals working with audio data who need to prepare it for deep learning applications.
No commits in the last 6 months. Available on PyPI.
Use this if you need to perform common audio data preprocessing, enhancement, and feature extraction to prepare audio for deep learning models.
Not ideal if you are looking for a complete end-to-end audio deep learning model or a simple audio player/editor.
Stars
46
Forks
12
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Nov 22, 2024
Commits (30d)
0
Dependencies
5
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/voice-ai/mindspore-lab/mindaudio"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related tools
lucidrains/HS-TasNet
Implementation of HS-TasNet, "Real-time Low-latency Music Source Separation using Hybrid...
justinsalamon/scaper
A library for soundscape synthesis and augmentation
stemrollerapp/stemroller
Isolate vocals, drums, bass, and other instrumental stems from any song
tsurumeso/vocal-remover
Vocal Remover using Deep Neural Networks
gitmylo/audio-webui
A webui for different audio related Neural Networks