madmom
pywt
| madmom | pywt | |
|---|---|---|
| 2 | 2 | |
| 1,240 | 1,920 | |
| 1.0% | 1.6% | |
| 4.4 | 8.8 | |
| 5 months ago | 15 days ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | MIT License |
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madmom
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Do you know any Onset Detection methods?
There are also online & offline onset detection approaches available as part of the Python madmom library https://github.com/CPJKU/madmom as binaries and Python classes. The methods included in madmom have shown state of the art results in multiple Music Information Retrieval Evaluation eXchange (MIREX) campaigns in recent years. Hope that's useful to you.
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BOXVR song importing. Can this be done outside of being in the game in VR?
In BoxVR's case, they literally use a machine learning model. It's cutting edge tech. Read more about it here: The paper, the code (and a sub-paper)
pywt
- Wavelets: A Mathematical Microscope
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Doubt on pywavelets (frequency of wavelet)
Pywavelets is open sourced under the MIT license. If you are curious about the way a function is implemented, you can look the implementation on GitHub.
What are some alternatives?
ssqueezepy - Synchrosqueezing, wavelet transforms, and time-frequency analysis in Python
pytorch_wavelets - Pytorch implementation of 2D Discrete Wavelet (DWT) and Dual Tree Complex Wavelet Transforms (DTCWT) and a DTCWT based ScatterNet
python-performance - Repository for the book Fast Python - published by Manning
inaSpeechSegmenter - CNN-based audio segmentation toolkit. Allows to detect speech, music, noise and speaker gender. Has been designed for large scale gender equality studies based on speech time per gender.
3.eeg_recognation - Machine learning for Anonymous detection of an alcoholic by EEG signals
ruptures - ruptures: change point detection in Python
kymatio - Wavelet scattering transforms in Python with GPU acceleration
Sushi - Automatic subtitle shifter based on audio
pyAudioAnalysis - Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications
omnizart - Omniscient Mozart, being able to transcribe everything in the music, including vocal, drum, chord, beat, instruments, and more.