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» Evaluating music sequence models through missing data
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ICASSP
2011
IEEE
12 years 8 months ago
Evaluating music sequence models through missing data
Building models of the structure in musical signals raises the question of how to evaluate and compare different modeling approaches. One possibility is to use the model to impute...
Thierry Bertin-Mahieux, Graham Grindlay, Ron J. We...
CGO
2008
IEEE
13 years 11 months ago
Prediction and trace compression of data access addresses through nested loop recognition
This paper describes an algorithm that takes a trace (i.e., a sequence of numbers or vectors of numbers) as input, and from that produces a sequence of loop nests that, when run, ...
Alain Ketterlin, Philippe Clauss
CMMR
2008
Springer
152views Music» more  CMMR 2008»
13 years 6 months ago
Labelling the Structural Parts of a Music Piece with Markov Models
Abstract. This paper describes a method for labelling structural parts of a musical piece. Existing methods for the analysis of piece structure often name the parts with musically ...
Jouni Paulus, Anssi Klapuri
ICASSP
2009
IEEE
13 years 11 months ago
A criterion for the enhancement of time-frequency masks in missing data recognition
Despite their effectiveness for robust speech processing, missing data techniques are vulnerable to errors in the classification of the input speech signal’s time-frequency poi...
Daniel Pullella, Roberto Togneri
PAMI
2010
218views more  PAMI 2010»
12 years 11 months ago
A Coupled Duration-Focused Architecture for Real-Time Music-to-Score Alignment
Abstract--The capacity for realtime synchronization and coordination is a common ability among trained musicians performing a music score that presents an interesting challenge for...
Arshia Cont