diff --git a/README.md b/README.md index 3e20f70d..12ae91fc 100644 --- a/README.md +++ b/README.md @@ -1,4 +1,4 @@ -# 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. 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). @@ -103,11 +103,11 @@ For any licensing enquires, please contact us at [mtg-info@upf.edu](mailto:mtg-i ## Citing ```bibtex -@software{compiam_mtg_2023, +@software{compiam_mtg_2024, author = {{GenĂ­s 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} } ``` diff --git a/compiam/conf/raga/carnatic.yaml b/compiam/conf/raga/carnatic.yaml index ffc2ce23..8988f45f 100644 --- a/compiam/conf/raga/carnatic.yaml +++ b/compiam/conf/raga/carnatic.yaml @@ -1,3 +1,7 @@ +athana: + arohana: ['S', 'R2', 'M1', 'P', 'N3', 'S'] + avorohana: ['S', 'N3', 'D2', 'P', 'M1', 'G3', 'R2', 'S'] + anandabhairavi: arohana: ['S', 'G2', 'R2', 'G2', 'M1', 'P', 'D2', 'P', 'N2', 'S'] avorohana: ['S', 'N2', 'D2', 'P', 'M1', 'G2', 'R2', 'S'] diff --git a/compiam/version.py b/compiam/version.py index e0e7d00b..417e2c8d 100644 --- a/compiam/version.py +++ b/compiam/version.py @@ -1,4 +1,4 @@ """Version info""" -short_version = "0.3" -version = "0.3.0" \ No newline at end of file +short_version = "0.4" +version = "0.4.0" \ No newline at end of file diff --git a/pyproject.toml b/pyproject.toml index d64672f4..80d9218b 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -11,7 +11,7 @@ license = {file = "COPYING"} requires-python = ">=3.9" keywords = ["carnatic", "hindustani", "models", "datasets", "tools"] classifiers = [ - "License :: OSI Approved :: AGPL-3.0 license", + "License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)", "Programming Language :: Python", "Development Status :: 3 - Alpha", "Intended Audience :: Science/Research",