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Monaural Source Separation From Musical Mixtures Based On Time-Frequency Timbre Models

Juan José Burred, Thomas Sikora
2007 Zenodo  
In the present contribution, we propose a system for the separation of sources from single-channel mixtures of musical instruments based on sinusoidal modeling and on a library of pre-trained timbre models  ...  Finally, the separated tracks are synthesized using additive synthesis. TRAINING OF THE TIMBRE MODELS The used timbre models are based on the spectral envelope and its evolution in time.  ... 
doi:10.5281/zenodo.1416396 fatcat:bqf4ehbwyzbzbjbxdknzigrblq

Deep Representation-Decoupling Neural Networks for Monaural Music Mixture Separation

Zhuo Li, Hongwei Wang, Miao Zhao, Wenjie Li, Minyi Guo
In this paper, we study the problem of separating vocals and instruments from monaural music mixture.  ...  Through extensive experiments on real-world dataset, we prove that DRDNN outperforms state-of-the-art baselines in the task of monaural music mixture separation and reconstruction.  ...  Introduction The problem of monaural source separation (MSS) generally refers to, given a mixture consisting of a series of acoustical signals, how to separate and recover the original sources from the  ... 
doi:10.1609/aaai.v32i1.11300 fatcat:2f6uhuetnza2vgog7hnhvllvq4

Estimation Of Vocal Duration In Monaural Mixtures

Anders Elowsson, Ragnar Schön, Matts Höglund, Elias Zea, Anders Friberg
2014 Proceedings of the SMC Conferences  
We wish to thank Derry FitzGerald for kindly providing source code and Emilia Gómez for introducing us to Melodia during the summer school.  ...  The cues that differentiate the vocal from other instruments have also been used in source separation models applied to monaural mixtures to extract the vocal.  ...  The rhythmic onset density was based on the SF of the source separated percussive track.  ... 
doi:10.5281/zenodo.850804 fatcat:tlgwm4entbhf3oefdpexzxrdty

Separation of Singing Voice from Music Background

Harshada Burute, P.B. Mane
2015 International Journal of Computer Applications  
The paper presents survey of the various algorithm and method for separating singing voice from musical background.  ...  From the survey it is observed that most of researchers used Robust Principal Component Analysis method for separation of singing voice from music background, by taking into account the rank of music accompaniment  ...  Depending on the application, one could be interested in each individual extracted source or may be just in extracting one source from the mixture.  ... 
doi:10.5120/ijca2015906806 fatcat:bhx32kytazdqjcllmlt32pcraq

Clustering NMF basis functions using Shifted NMF for monaural sound source separation

Rajesh Jaiswal, Derry FitzGerald, Dan Barry, Eugene Coyle, Scott Rickard
2011 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)  
This involves the use of Shifted Nonnegative Matrix Factorization (SNMF) as a means of clustering the frequency basis functions obtained from NMF.  ...  Non-negative Matrix Factorization (NMF) has found use in single channel separation of audio signals, as it gives a parts-based decomposition of audio spectrograms where the parts typically correspond to  ...  The SNMF model was tested for 25 monaural input mixtures of 2 instruments from a total of 15 different orchestral instruments taken from a sample library [11] including brass, woodwind and strings.  ... 
doi:10.1109/icassp.2011.5946386 dblp:conf/icassp/JaiswalFBCR11 fatcat:qw4345oi2rfoni4nam5c2dl3yi

Polyphonic musical instrument recognition based on a dynamic model of the spectral envelope

Juan Jose Burred, Axel Robel, Thomas Sikora
2009 2009 IEEE International Conference on Acoustics, Speech and Signal Processing  
We propose a new method for detecting the musical instruments that are present in single-channel mixtures.  ...  Classification is based on either an Euclidean or a probabilistic definition of timbral similarity, both of which are compared with respect to detection accuracy.  ...  DYNAMIC SPECTRAL ENVELOPE MODELING The used timbre models are based on the spectral envelope and its evolution in time, which are two of the most important factors contributing to the characteristic timbre  ... 
doi:10.1109/icassp.2009.4959548 dblp:conf/icassp/BurredRS09 fatcat:tgmkx7clurbzbp5p7cajrcxuvu

An iterative approach to monaural musical mixture de-soloing

Jean-Louis Durrieu, Gael Richard, Bertrand David
2009 2009 IEEE International Conference on Acoustics, Speech and Signal Processing  
In this article, we introduce a novel approach for monaural source separation with the specific aim to separate a polyphonic musical recording into two main sources: a main instrument (or melody) track  ...  The experiments conducted on several monaural signal databases show that our system achieves state-of-the-art performances compared to other unsupervised source separation algorithms.  ...  Févotte for the interesting discussions about the model, and A. Ozerov for kindly sharing his database with them.  ... 
doi:10.1109/icassp.2009.4959531 dblp:conf/icassp/DurrieuRD09 fatcat:xmorsmnz5na3bkwblgq24bn4bm

Monaural Score-Informed Source Separation For Classical Music Using Convolutional Neural Networks

Marius Miron, Jordi Janer, Emilia Gómez
2017 Zenodo  
In contrast to speech separation, music source separation poses different challenges due to the variety of sources which are correlated in time and frequency [7] .  ...  The trained model is used to separate real-life performances based on these scores [22] .  ... 
doi:10.5281/zenodo.1416498 fatcat:ik4enccj6netzde76dbfqhg62a

Resolving Overlapping Harmonics For Monaural Musical Sound Separation Using Fundamental Frequency And Common Amplitude Modulation

John Woodruff, Yipeng Li, DeLiang Wang
2008 Zenodo  
Virtanen for his assistance in sound separation and comparison. This research was supported in part by an AFOSR grant (F49620-04-1-0027) and an NSF grant (IIS-0534707).  ...  The first row of the table is the SNR gain for the two source mixtures achieved by the Virtanen system [1] , which is also based on sinusoidal modeling.  ...  A MONAURAL MUSIC SEPARATION SYSTEM We incorporate the proposed algorithm into a monaural music separation system to evaluate its effectiveness. The diagram of the system is shown in Figure 6 .  ... 
doi:10.5281/zenodo.1417278 fatcat:3oxkhyr2jvdclksjmdi4fohifu

Harmonic-Temporal Factor Decomposition for Unsupervised Monaural Separation of Harmonic Sounds

Tomohiko Nakamura, Hirokazu Kameoka
2020 IEEE/ACM Transactions on Audio Speech and Language Processing  
A CASA-based method called harmonic-temporal clustering (HTC) focuses on a local time-frequency structure of individual sources, whereas NMF focuses on a global time-frequency structure of music spectrograms  ...  Unsupervised monaural audio source separation has thus far been mainly addressed by two approaches: one rooted in computational auditory scene analysis (CASA) and the other based on non-negative matrix  ...  There are two major approaches to unsupervised monaural audio source separation. One is based on computational auditory scene analysis, e.g., [6] - [8] .  ... 
doi:10.1109/taslp.2020.3037487 fatcat:4auwrbeuvfcxfpv3zeliq74d3a

Generating Data To Train Convolutional Neural Networks For Classical Music Source Separation

Marius Miron, Jordi Janer, Emilia Gómez
2017 Proceedings of the SMC Conferences  
Acknowledgments The TITANX used for this research was donated by the Proceedings of the 14th Sound and Music Computing Conference, July 5-8, Espoo, Finland SMC2017-232  ...  We propose a timbre-informed and score-constrained system to train neural networks for monaural source separation of classical music mixtures.  ...  INTRODUCTION Source separation assumes recovering the sources of the signals from a mixture.  ... 
doi:10.5281/zenodo.1401922 fatcat:z4bq6dksynhodglcsybhby34iu

Shifted and convolutive source-filter non-negative matrix factorization for monaural audio source separation

Tomohiko Nakamura, Hirokazu Kameoka
2016 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)  
Shifted NMF was proposed as a powerful approach for monaural source separation and multiple fundamental frequency (F 0 ) estimation, which is particularly unique in that it takes account of the constant  ...  We derive a computationally efficient and convergence-guaranteed algorithm for estimating the unknown parameters of the constructed model based on the auxiliary function approach.  ...  For each test data, we designed a soft time-frequency mask asX l,m,k,r /X l,m to obtain separated audio signals of the sources.  ... 
doi:10.1109/icassp.2016.7471723 dblp:conf/icassp/NakamuraK16 fatcat:kybitvb4dzdinnryo3q6tfvslu

Separation of Individual Instrumental Sounds in Monaural Music Signals Applying a Modified Wiener Filter with a Parameter Identification Technique on the Time-frequency Plane

Yukio Fukayama, Shoya Ogawa
2015 Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications  
The processor separates a monaural music sound into individual tones of every pitch with a particular timbre, combinations of which provide melodies played by an instrument.  ...  the mixture sequentially evaluated in the frequency-domain.  ...  While the proposed processor sequentially evaluates statistics of the mixture assuming a model of music sound and employs a windowed Wiener filter so as to separate the mixture of time-variant and correlated  ... 
doi:10.5687/sss.2015.70 fatcat:6q62o4f5sbcyhna4enklq7g6l4

Instrument Equalizer For Query-By-Example Retrieval: Improving Sound Source Separation Based On Integrated Harmonic And Inharmonic Models

Katsutoshi Itoyama, Masataka Goto, Kazunori Komatani, Tetsuya Ogata, Hiroshi G. Okuno
2008 Zenodo  
ACKNOWLEDGEMENTS This research was partially supported by the Ministry of Education, Science, Sports and Culture, Grant-in-Aid for Scientific Research of Priority Areas, Primordial Knowledge Model Core  ...  SOUND SOURCE SEPARATION CONSIDERING TIMBRE VARIETIES In this section, we first define our sound source separation problem and the integrated model.  ...  Roland SD-90 Table 3 . 3 SNRs of the signals separated from sound mixtures generated from a MIDI tone generator.  ... 
doi:10.5281/zenodo.1417407 fatcat:enbsgjk4vjeepaeehnaigxvrti

Separation of Individual Instrumental Tones in Monaural Music Signals Applying a Modified Wiener Filter and the Gabor Wavelet Transform

Yukio Fukayama
2019 Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications  
The processor separates a monaural music sound into individual tones of every pitch with a particular timbre, combinations of which provide melodies played by an instrument.  ...  A signal processor which is suitable for distilling a melody played by a particular instrument from a music ensemble is discussed in this report.  ...  are from different sources.  ... 
doi:10.5687/sss.2019.153 fatcat:y3njjwxpnvcdbmtc33poomgebi
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