Crate mecomp_analysis

This library contains stuff for song analysis and feature extraction.

A lot of the code in this library is inspired by, or directly pulled from, bliss-rs. We don’t simply use bliss-rs because I don’t want to bring in an ffmpeg dependency, and bliss-rs also has a lot of features that I don’t need. (for example, I don’t need to decode tags, process playlists, etc. etc., I’m doing all of that myself already)

We use rodio to decode the audio file (overkill, but we already have the dependency for audio playback so may as well), We use rubato to resample the audio file to 22050 Hz.

Modules

• chroma
  Chroma feature extraction module.
• clustering
  this module contains helpers that wrap the a k-means crate to perform clustering on the data without having to choose an exact number of clusters.
• decoder
• errors
• misc
  Miscellaneous feature extraction module.
• temporal
  Temporal feature extraction module.
• timbral
  Timbral feature extraction module.
• utils

Structs

• Analysis
  Object holding the results of the song’s analysis.
• AnalysisIndexIter
  An iterator over the variants of AnalysisIndex
• ResampledAudio
  The resampled audio data used for analysis.

Enums

• AnalysisIndex
  Indexes different fields of an Analysis.

Constants

• NUMBER_FEATURES
  The number of features used in Analysis
• SAMPLE_RATE
  The sampling rate used for the analysis.

Type Aliases

• Feature
  The Type of individual features