Alexander Lerch

pyACA. Python scripts accompanying the book "An Introduction to Audio Content Analysis" (www.AudioContentAnalysis.org)

ACA-Slides. Slides and Code for "An Introduction to Audio Content Analysis," also taught at Georgia Tech as MUSI-6201. This introductory course on Music Information Retrieval is based on the text book "An Introduction to Audio Content Analysis", Wiley 2012/2022

ACA-Code. Matlab scripts accompanying the book "An Introduction to Audio Content Analysis" (www.AudioContentAnalysis.org)

libACA. C++ code accompanying the book "An Introduction to Audio Content Analysis" (www.AudioContentAnalysis.org)

conference-deadlines. :alarm_clock: MIR conference deadline countdowns

Tonmeister-Grundlagen. Grundlagenskript fuer Tonmeisterstudenten (2000)

MUSI-6202. TeX

pynbACA. Jupyter notebooks for audio content analysis

MIR-datasets. list of MIR datasets

MUSI-6202-Assignments. MATLAB

ACA-Plots. Repository for creating plots for slides on audio content analysis

audiocontentanalysis.org. music information retrieval tasks and applications

MUSI7100-Syllabus. TeX

2022-ACA-SIMPAC. repository merging all three repositories into one

2024-AI-and-Music. Slides for overview intro to ai and music

International-Students-resources. Resources and Information for International Students in the U.S.

2025-PCA-Lecture. slides for an introductory lecture on Principal Component Analysis

Music-Informatics-Group-Introduction. Slidedeck for a quick intro of the GT Music Informatics Group

2023-SantaCruz-AI. slides for Santa Cruz AI meetup

2023-slides-SoAI-Accelerator. slides for mentor presentation at sound of ai accelerator

2023-FRSM. invited talk at the 27th International Symposium on Frontiers of Research in Speech and Music (FRSM' 2023)