Antigama, Depressant - Audio Analysis Dataset (Metal Music)

This dataset offers a comprehensive audio analysis of Depressant by Antigama, a 2017 release that pushes the boundaries of Death Metal with its intense soundscapes and dark, experimental undertones. Comprising 7 tracks, the album showcases Antigama's unique blend of aggression, technical precision, and atmospheric depth.

For each track, the dataset provides:

Root Mean Square (RMS)

Chroma Features

Spectral Flatness

Mel Frequency Cepstral Coefficients (MFCC)

Zero Crossing Rate

Onset Detection Function

Spectrogram

Spectral Centroid

Spectral Contrast

Spectral Bandwidth

Tonnetz

Harmonic and Percussive Components

Included files for each track:

CSV files containing numerical data from the analyses.

JPG/PNG images of graphs illustrating the analyzed parameters.

Purpose of the Dataset:

Whether you're a researcher, audio engineer, or a fan eager to delve into the intricacies of Depressant, this resource offers a window into the technical artistry behind Antigama's sound.

By dissecting the album at such a granular level, this dataset enables users to appreciate the interplay of brutality and experimentation that defines Depressant, making it a valuable resource for anyone interested in extreme metal or audio analysis.

Software Used:

The analyses were performed using the open-source software Librosa (Python), ensuring a transparent and reproducible approach.

License:

This dataset is distributed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license, allowing data reuse for any purpose, provided the source is credited.

Acknowledgments:

Special thanks to the open-source community and tools like Librosa, which make analyses like this possible.