Skip to main content

Ctrl+K

mirdotcom

Welcome!

Introduction

About This Site
What is Music Information Retrieval?
Python Basics and Dependencies
Jupyter Basics
Jupyter Audio Basics
SoX
NumPy and SciPy

Music Representations

Sheet Music Representations
Symbolic Representations
Audio Representation
Tuning Systems
MIDI Note to Frequency Conversion Table
Understanding Audio Features through Sonification

Signal Analysis and Feature Extraction

Basic Feature Extraction
Segmentation
Energy and RMSE
Zero Crossing Rate
Fourier Transform
Short-Time Fourier Transform
Constant-Q Transform and Chroma
Video: Chroma Features
Magnitude Scaling
Spectral Features
Autocorrelation
Pitch Transcription Exercise

Rhythm, Tempo, and Beat Tracking

Novelty Functions
Peak Picking
Onset Detection
Onset-based Segmentation with Backtracking
Tempo Estimation
Beat Tracking
Video: Tempo and Beat Tracking
Drum Transcription using ADTLib

Machine Learning

K-Means Clustering
Unsupervised Instrument Classification Using K-Means
Neural Networks
Genre Recognition
Exercise: Genre Recognition

Evaluation

Evaluation using mir_eval
Evaluation Example: Onset Detection
Evaluation Example: Beat Tracking
Evaluation using mir_eval

Music Synchronization

Dynamic Programming
Longest Common Subsequence
Dynamic Time Warping
Dynamic Time Warping Example

Music Structure Analysis

Mel Frequency Cepstral Coefficients (MFCCs)

Content-Based Audio Retrieval

Music Fingerprinting using Locality Sensitive Hashing

Musically Informed Audio Decomposition

Principal Component Analysis
Nonnegative Matrix Factorization
NMF Audio Mosaicing
Harmonic-Percussive Source Separation

Just For Fun

Real-time Spectrogram
THX Logo Theme

About

About Fundamentals of Music Processing
About the CCRMA Workshop on Music Information Retrieval
People who use this site

Repository
Open issue

Search

Ctrl+K

By musicinformationretrieval.com contributors

© Copyright 2025.