pymus - Audio & Music analysis tools
A Python library including several tools for automatic music analysis. Special focus is on algorithms for score-informed analysis of melodies in audio recordings of musical instruments.
sisa/
Methods for score-informed analysis
sisa/f0_tracking
Score-informed tracking of the fundamental frequency contour of each note in a transcribed melody recording.
sisa/loudness
Score-informed estimation of note-wise intensity values based on a critical band approximation
sisa/tuning
Wrapper to call NNLS VAMP plugin by Matthias Mauch using sonic-annotator (must be installed)
convert/converter
Converter functions between MIDI pitch, frequencies, and note names
features/f0_contour_features
Audio features that characterize (note-wise) fundamental frequency contours. These can be used to train machine learning models to classify pitch modulation techniques such as bending, slide, vibrato etc.
transform/transformer
Implementations of the Short-time Fourier Transform (based on spectrogram function from Matlab) and the Reassigned Spectrogram using the instantaneous frequency. The latter is useful for frequency tracking since it exhibits sharper peaks for harmonic signal components compared to the STFT.
wrapper/sonic_visualiser.py
Currently just one function to export time-series to CSV files which can be loaded into Sonic Visualiser for visualisation purposes (time values layer)
1 maintainer
Release files for pymus 0.2.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| pymus-0.2.5.tar.gz | 7.7 MB | Details |
Release files / pymus-0.2.5.tar.gz
| Download URL | pymus-0.2.5.tar.gz |
|---|---|
| Size | 7.7 MB |
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