DocumentCode :
3646624
Title :
Coupled tensor factorization models for polyphonic music transcription
Author :
Umut Şimşekli;Y. Kenan Yılmaz;A. Taylan Cemgil
Author_Institution :
Bilgisayar Mü
fYear :
2012
fDate :
4/1/2012 12:00:00 AM
Firstpage :
1
Lastpage :
4
Abstract :
Generalized Coupled Tensor Factorization (GCTF) is a recently proposed algorithmic framework for simultaneously estimating tensor factorization models where several tensors can share a set of latent factors. This paper presents two models in this framework for transcribing polyphonic piano pieces. The first model is based on Non-negative Matrix Factorization where the coupling provides the spectral information to the model. As an extension to the first model, the second model incorporates temporal and harmonic information by taking a rough, incomplete transciption of the piece as input. Incorporating harmonic knowledge improves the transcription quality as the the experimental results show that we get around 23 % F-measure improvement on real piano data.
Keywords :
"Tensile stress","Harmonic analysis","Probabilistic logic","Multiple signal classification","Abstracts","Couplings","Integrated circuit modeling"
Publisher :
ieee
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2012 20th
Print_ISBN :
978-1-4673-0055-1
Type :
conf
DOI :
10.1109/SIU.2012.6204699
Filename :
6204699
Link To Document :
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