In developing automated systems to recognize the emotional content of music, we are faced with a problem spanning two disparate domains: the space of human emotions and the acoust...
Erik M. Schmidt, Douglas Turnbull, Youngmoo E. Kim
We present Saltate!, a wireless prototype system to support beginners of ballroom dancing. Saltate! acquires data from force sensors mounted under the dancers' feet, detects ...
This paper proposes a novel music genre classification system based on two novel features and a weighted voting method. The proposed features, modulation spectral flatness measu...
This paper proposes a novel framework for music content indexing and retrieval. The music structure information, i.e., timing, harmony and music region content, is represented by ...
Namunu Chinthaka Maddage, Haizhou Li, Mohan S. Kan...
Music and songs usually have repeating patterns and prominent structure. The automatic extraction of such repeating patterns and structure is useful for further music summarizatio...