ssqueezepy
madmom
ssqueezepy | madmom | |
---|---|---|
3 | 2 | |
675 | 1,386 | |
1.2% | 1.2% | |
3.6 | 2.9 | |
8 days ago | 6 months ago | |
Python | Python | |
MIT License | GNU General Public License v3.0 or later |
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ssqueezepy
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[OC] A lonely cough on a scalogram, yet rich in charasteristics & distinctive properties
Thanks for this great question - complex-valued Mexican hat mother wavelet here, used this implementation of synchrosqueezing: https://github.com/OverLordGoldDragon/ssqueezepy
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[P] Fastest wavelet transforms in Python + synchrosqueezing
ssqueezepy 0.6.1 released w/ benchmarks, CWT up to x75 faster than PyWavelets on CPU and x900 on GPU (and more correct). STFT also CPU- and GPU-accelerated, and both synchrosqueezed.
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[D] Inductive biases for audio spectrogram data.
Have a look here
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)
What are some alternatives?
pywt - PyWavelets - Wavelet Transforms in Python
ruptures - ruptures: change point detection in Python
python-performance - Repository for the book Fast Python - published by Manning
audio-reactive-led-strip - :musical_note: :rainbow: Real-time LED strip music visualization using Python and the ESP8266 or Raspberry Pi
omnizart - Omniscient Mozart, being able to transcribe everything in the music, including vocal, drum, chord, beat, instruments, and more.
kymatio - Wavelet scattering transforms in Python with GPU acceleration
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.
WaveDiff - Official Pytorch Implementation of the paper: Wavelet Diffusion Models are fast and scalable Image Generators (CVPR'23)
pytorch_wavelets - Pytorch implementation of 2D Discrete Wavelet (DWT) and Dual Tree Complex Wavelet Transforms (DTCWT) and a DTCWT based ScatterNet
Sushi - Automatic subtitle shifter based on audio