TY - GEN
T1 - The sound analysis toolbox (SATB)
AU - Park, Tae Hong
AU - Srinivasan, Sumanth
PY - 2016
Y1 - 2016
N2 - Sound analysis software applications have become commonplace for exploring music and audio, and important factors including responsive/fast data visualization, flexible code development capabilities, availability of standard/ customizable libraries/modules, and the existence of large community of developers have likewise become integral. The widely used MATLAB software, in particular, has played an important role as an all-purpose audio exploration and research tool. However, its flexibility and practicality when exploring large audio data, its limitations for synchronized audiovisual exploration, and its deficiencies as an integrated system for audio research is an area that can be improved. In this paper we report on developments on the Sound Analysis Toolbox (SATB), a pure MATLAB-based toolbox that addresses some of MATLAB's basic deficiencies as an audio research platform. We introduce solutions including efficient visualization for literally any sized data, a simple feature extraction "plug-in" API, and the sMAT Listener module for spatiotemporal audio-visual exploration.
AB - Sound analysis software applications have become commonplace for exploring music and audio, and important factors including responsive/fast data visualization, flexible code development capabilities, availability of standard/ customizable libraries/modules, and the existence of large community of developers have likewise become integral. The widely used MATLAB software, in particular, has played an important role as an all-purpose audio exploration and research tool. However, its flexibility and practicality when exploring large audio data, its limitations for synchronized audiovisual exploration, and its deficiencies as an integrated system for audio research is an area that can be improved. In this paper we report on developments on the Sound Analysis Toolbox (SATB), a pure MATLAB-based toolbox that addresses some of MATLAB's basic deficiencies as an audio research platform. We introduce solutions including efficient visualization for literally any sized data, a simple feature extraction "plug-in" API, and the sMAT Listener module for spatiotemporal audio-visual exploration.
UR - http://www.scopus.com/inward/record.url?scp=85003530429&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85003530429&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85003530429
T3 - ICMC 2016 - 42nd International Computer Music Conference, Proceedings
SP - 234
EP - 240
BT - ICMC 2016 - 42nd International Computer Music Conference, Proceedings
A2 - Timmermans, Hans
PB - HKU University of the Arts Utrecht, HKU Music and Technology
T2 - 42nd International Computer Music Conference, ICMC 2016
Y2 - 12 September 2016 through 16 September 2016
ER -