TY - GEN
T1 - Audio content-based feature extraction algorithms using J-DSP for arts, media and engineering courses
AU - Shah, Mohit
AU - Wichern, Gordon
AU - Spanias, Andreas
AU - Thornburg, Harvey
PY - 2010
Y1 - 2010
N2 - J-DSP is a java-based object-oriented online programming environment developed at Arizona State University for education and research. This paper presents a collection of interactive Java modules for the purpose of introducing undergraduate and graduate students to feature extraction in music and audio signals. These tools enable online simulations of different algorithms that are being used in applications related to content-based audio classification and Music Information Retrieval (MIR). The simulation software is accompanied by a series of computer experiments and exercises that can be used to provide hands-on training. Specific functions that have been developed include modules used widely such as Pitch Detection, Tonality, Harmonicity, Spectral Centroid and the Mel-Frequency Cepstral Coefficients (MFCC). This effort is part of a combined research and curriculum program funded by NSF CCLI that aims towards exposing students to advanced multidisciplinary concepts and research in signal processing.
AB - J-DSP is a java-based object-oriented online programming environment developed at Arizona State University for education and research. This paper presents a collection of interactive Java modules for the purpose of introducing undergraduate and graduate students to feature extraction in music and audio signals. These tools enable online simulations of different algorithms that are being used in applications related to content-based audio classification and Music Information Retrieval (MIR). The simulation software is accompanied by a series of computer experiments and exercises that can be used to provide hands-on training. Specific functions that have been developed include modules used widely such as Pitch Detection, Tonality, Harmonicity, Spectral Centroid and the Mel-Frequency Cepstral Coefficients (MFCC). This effort is part of a combined research and curriculum program funded by NSF CCLI that aims towards exposing students to advanced multidisciplinary concepts and research in signal processing.
KW - Audio content search and classification
KW - Digital signal processing
KW - Feature extraction
KW - Online education
KW - Signals and systems education
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U2 - 10.1109/FIE.2010.5673157
DO - 10.1109/FIE.2010.5673157
M3 - Conference contribution
AN - SCOPUS:78751523919
SN - 9781424462599
T3 - Proceedings - Frontiers in Education Conference, FIE
SP - T1F1-T1F6
BT - 40th Annual Frontiers in Education Conference
T2 - 40th Annual Frontiers in Education Conference: Celebrating Forty Years of Innovation, FIE 2010
Y2 - 27 October 2010 through 30 October 2010
ER -