LjudMAP: A Visualization Tool for Exploring Audio Collections with Real-Time Concatenative Synthesis Capabilities

Sammanfattning: This thesis presents the software tool “LjudMAP," which fuses techniques of music informatics and unsupervised machine learning methods to assist in the exploration of audio collections. LjudMAP builds on concepts of the software tool, "Temporally Disassembled Audio," which was developed to enable fast browsing of recorded speech material. LjudMAP is intended instead for analysis and real-time composition of electroacoustic music, and is programmed in a way that can include more audio features. This thesis presents investigations into how LjudMAP can be used for identifying similarities and clusters within audio collections. A key contribution is the coagulation of clusters of sound based on principles of proximity in time and feature space. The thesis also shows how LjudMAP can be used for composition, with several demonstrations provided by one electroacoustic composer with a variety of sound materials. The source code for LjudMAP is available at: https://github.com/victorwegeborn/LjudMAP.