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» Feature Selection in Automatic Music Genre Classification
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ICMCS
2005
IEEE
129views Multimedia» more  ICMCS 2005»
14 years 1 months ago
Feature Selection and Stacking for Robust Discrimination of Speech, Monophonic Singing, and Polyphonic Music
In this work we strive to find an optimal set of acoustic features for the discrimination of speech, monophonic singing, and polyphonic music to robustly segment acoustic media st...
Björn Schuller, Brüning J. B. Schmitt, D...
CHI
2008
ACM
14 years 8 months ago
MySong: automatic accompaniment generation for vocal melodies
We introduce MySong, a system that automatically chooses chords to accompany a vocal melody. A user with no musical experience can create a song with instrumental accompaniment ju...
Ian Simon, Dan Morris, Sumit Basu
ISMIR
2005
Springer
166views Music» more  ISMIR 2005»
14 years 1 months ago
Song-Level Features and Support Vector Machines for Music Classification
Searching and organizing growing digital music collections requires automatic classification of music. This paper describes a new system, tested on the task of artist identifica...
Michael I. Mandel, Dan Ellis
ISMIR
2004
Springer
110views Music» more  ISMIR 2004»
14 years 1 months ago
Automatic Detection Of Vocal Segments In Popular Songs
This paper presents a technique for the automatic classification of vocal and non-vocal regions in an acoustic musical signal. The proposed technique uses acoustic features which ...
Tin Lay Nwe, Ye Wang
ICMCS
2007
IEEE
132views Multimedia» more  ICMCS 2007»
14 years 2 months ago
An SVM Framework for Genre-Independent Scene Change Detection
We present a novel genre-independent SVM framework for detecting scene changes in broadcast video. Our framework works on content from a diverse range of genres by allowing sets o...
Naveen Goela, Kevin W. Wilson, Feng Niu, Ajay Diva...