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.