Chapter: Unsupervised Learning Methods for Source Separation in Monaural Music Signals

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Home > Signal Processing Methods for Music Transcription > Unsupervised Learning Methods for Source Separation in Monaural Music Signals

Signal Processing Methods for Music Transcription |

Anssi Klapuri; Manuel Davy

Springer US

Signal Processing Methods for Music Transcription

Unsupervised Learning Methods for Source Separation in Monaural Music Signals

Chapter Info

Authors

Tuomas Virtanen

ARI Id

1664083671913_256032

Access

Not Available Free

Pages

267-296

DOI

10.1007/0-387-32845-9_9

Chapter URL

https://rd.springer.com/chapter/10.1007/0-387-32845-9_9

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Chapters/Headings	Author(s)	Pages	Info
Front Matter		i-xii
Front Matter		1-1
Introduction to Music Transcription	Anssi Klapuri	3-20
An Introduction to Statistical Signal Processing and Spectrum Estimation	Manuel Davy	21-64
Sparse Adaptive Representations for Musical Signals	Laurent Daudet; Bruno Torrésani	65-98
Front Matter		99-99
Beat Tracking and Musical Metre Analysis	Stephen Hainsworth	101-129
Unpitched Percussion Transcription	Derry FitzGerald; Jouni Paulus	131-162
Automatic Classification of Pitched Musical Instrument Sounds	Perfecto Herrera-Boyer; Anssi Klapuri; Manuel Davy	163-200
Front Matter		201-201
Multiple Fundamental Frequency Estimation Based on Generative Models	Manuel Davy	203-227
Auditory Model-Based Methods for Multiple Fundamental Frequency Estimation	Anssi Klapuri	229-265
Unsupervised Learning Methods for Source Separation in Monaural Music Signals	Tuomas Virtanen	267-296
Front Matter		297-297
Auditory Scene Analysis in Music Signals	Kunio Kashino	299-325
Music Scene Description	Masataka Goto	327-359
Singing Transcription	Matti Ryynänen	361-390
Back Matter		391-440
Chapters/Headings	Author(s)	Pages	Info

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