Toggle navigation
JUPYTER
FAQ
View as Code
View on GitHub
Execute on Binder
Download Notebook
musicinformationretrieval.com
Table_of_Contents.ipynb
Notebook
CCRMA Workshop on Music Information Retrieval
¶
Table of Contents
¶
Introduction
¶
About This Workshop
Getting Good at IPython
Using Audio in IPython
Python Basics
NumPy, SciPy, Matplotlib Basics
Day 1: Basic Signal Manipulation
¶
Segmentation
Signal Representations
Onset Detection
Beat Tracking
Exercise: Understanding Audio Features through Sonification
Day 2: Spectral Feature Extraction and Classification
¶
Spectral Features
Mel-Frequency Cepstral Coefficients
K-Nearest Neighbor Instrument Classification
Day 3: Unsupervised Classification
¶
K-Means Clustering
Exercise: Unsupervised Instrument Classification using K-Means
Day 4: Matrix Factorization and Evaluation
¶
Nonnegative Matrix Factorization
Exercise: Source Separation using NMF
Classification of Separated Signals
Cross Validation
Evaluation
Day 5: Music Fingerprinting
¶
Locality Sensitive Hashing
More (work in progress)
¶
Tonal Descriptors: Pitch and Chroma
Feature Extraction
Tempo Estimation