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* latest release on pypi * latest release on pypi * add mixer model in separation README --------- Co-authored-by: genisplaja <[email protected]>
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# compIAM v0.3.0 | ||
# compIAM v0.4.0 | ||
compIAM (**comp**utational analysis of **I**ndian **A**rt **M**usic) is a collaborative initiative involving many researchers that aims at putting together a common repository of datasets, tools, and models for the computational analysis of Carnatic and Hindustani music. | ||
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You can get started on the Computational Analysis of Indian Art Music through our ISMIR 2022 Tutorial: [Computational Methods For Supporting Corpus-Based Research On Indian Art Music](https://mtg.github.io/IAM-tutorial-ismir22/landing.html). | ||
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## Citing | ||
```bibtex | ||
@software{compiam_mtg_2023, | ||
@software{compiam_mtg_2024, | ||
author = {{Genís Plaja-Roglans and Thomas Nuttall and Xavier Serra}}, | ||
title = {compIAM}, | ||
url = {https://mtg.github.io/compIAM/}, | ||
version = {0.3.0}, | ||
year = {2023} | ||
version = {0.4.0}, | ||
year = {2024} | ||
} | ||
``` |
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"""Version info""" | ||
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short_version = "0.3" | ||
version = "0.3.0" | ||
short_version = "0.4" | ||
version = "0.4.0" |
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