EarGram: An Application for Interactive Exploration of Concatenative Sound Synthesis in Pure Data

• Type: Article in International Conference Proceedings Book
• Date: 2013

Authors

Bernardes, G (Author) FEUP; Carlos Guedes (Author) FEUP; Pennycook, B (Author) Other

Conference proceedings International

Title: FROM SOUNDS TO MUSIC AND EMOTIONS

Pages: 110-129

9th International Symposium on Computer Music Modeling and Retrieval (CMMR) - Music and Emotions

London, ENGLAND, JUN 19-22, 2012

Indexing

ISI Web of Knowledge - 5 Citations

Scopus - 10 Citations

Other information

Authenticus ID: P-008-ERC

DOI: 10.1007/978-3-642-41248-6_7

Abstract (EN): This paper describes the creative and technical processes behind earGram, an application created with Pure Data for real-time concatenative sound synthesis. The system encompasses four generative music strategies that automatically rearrange and explore a database of descriptor-analyzed sound snippets (corpus) by rules other than their original temporal order into musically coherent outputs. Of note are the system's machine-learning capabilities as well as its visualization strategies, which constitute a valuable aid for decision-making during performance by revealing musical patterns and temporal organizations of the corpus.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 20