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RESEARCH [T - Z]

Scroll down to find direct links to publicly posted research papers, presentations, etc. in the field of sound source separation and related topics.  I have listed them in alphabetical order by title for ease of browsing and have provided these links, which are available on the web, for your convenience.  I have provided permalinks for those papers available for a fee.  Titles without a link can be found through a web search.  Please use the CONTACT page to notify me of any corrections, to supply suggestions for adding any additional pertinent links, or to notify me if you encounter any dead links in this list.  Thanks!

 

TANDEM ALGORITHM WITH SUPERVISED CLASSIFIER FOR PITCH ESTIMATION AND VOICE SEPARATION FROM MUSIC ACCOMPANIMENTS: SURVEY [PDF]

Vikas Nichal1, Mane V.A2, Gadhave D.D3, 1Shivaji University, Kolhapur. ADCET Ashta, 2Anasaheb Dange college of engg.. Shivaji University, Kolhapur, 3Shivaji University, Kolhapur. ADCET Ashta (2015)

 

TECHNIQUES STATISTIQUES POUR LA SÉPARATION DE SOURCES AUDIO DANS UN MÉLANGE MONOCAPTEUR (in French) [PDF direct download]

Emmanuel Vincent, École Normale Supérieure, Université Paris XI, IRCAM (2002)

 

TELPC BASED RE-SYNTHESIS METHOD FOR ISOLATED NOTES OF POLYPHONIC INSTRUMENTAL MUSIC RECORDINGS [PDF]

Ya-Han Kuo, Wei-Chen Chang, Tien-Ming Wang, Alvin W.Y. Su, SCREAM Lab., Department of CSIE, National Cheng-Kung University Tainan, Taiwan (2013)

 

TEMPORAL ANNOTATION-BASED AUDIO SOURCE SEPARATION USING WEIGHTED NONNEGATIVE MATRIX FACTORIZATION [permalink]

Ngoc Duong, Alexey Ozerov, Louis Chevallier, Technicolor, 4th IEEE International Conference on Consumer Electronics - Berlin (ICCE-Berlin 2014), Berlin, Germany (2014)

 

TENSOR FUSION: LEARNING IN HETEROGENEOUS AND DISTRIBUTED DATA [PDF direct download]

Umut Șimșekli, Graduate Program in Computer Engineering, Boğaziçi University, Istanbul, Turkey (2015)

TENSORIZATION AND APPLICATIONS IN BLIND SOURCE SEPARATION [PDF direct download]

Otto Debals, KU Leuven Arenberg Doctoral School, Leuven, Belgium (2017)

TF-ATTENTION-NET: AN END TO END NEURAL NETWORK FOR SINGING VOICE SEPARATION [PDF]

Tingle Li* 1,2, Jiawei Chen2, Haowen Hou3, Ming Li1, 1Data Science Research Center, Duke Kunshan University, Kunshan, China, 2School of Computer Science and Technology, Tianjin Polytechnic University, Tianjin, China, 3AI Platform Department, Tencent Inc., Shenzhen, China (2019)

THE COCKTAIL PARTY PROBLEM [PDF]

Josh H. McDermott (2010)

 

THE DESAM TOOLBOX: SPECTRAL ANALYSIS OF MUSICAL AUDIO [PDF]

M. Lagrange1, R. Badeau2, B. David2, N. Bertin3, J. Echeveste2, O. Derrien4, S. Marchand5, L. Daudet6, Ircam1 CNRS STMS Paris, France, Institut Telecom2, Telecom ParisTech, CNRS LTCI Paris, France, METISS Project3 IRISA-INRIA Rennes, France, Laboratoire de Mécanique4 et d’Acoustique (LMA), CNRS - UPR 7051, Marseille, France, LaBRI CNRS5, University of Bordeaux, 1 Talence, France, Université Paris Diderot6, Institut Langevin, CNRS UMR 7587, Paris, France <hal-00523319> (2010)

 

THE DYNAMIC REDISTRIBUTION OF SPECTRAL ENERGIES FOR UPMIXING AND RE-ANIMATION OF RECORDED AUDIO [permalink]

Christopher J. Keyes, Hong Kong Baptist University, Kowloon, Hong Kong (2012)

 

THE EXPECTED AMPLITUDE OF OVERLAPPING PARTIALS OF HARMONIC SOUNDS [permalink]

Chunghsin Yeh ; STMS Anal./Synthesis team, CNRS, Paris ; Roebel, A. (2009)

 

THE FLEXIBLE AUDIO SOURCE SEPARATION TOOLBOX VERSION 2.0 [PDF]

Yann Salaün, Emmanuel Vincent, Nancy Bertin, Nathan Souviraà-Labastie, Xabier Jaureguiberry, Dung T. Tran, and Frédéric Bimbot (2014)

 

THE GOOD VIBRATIONS PROBLEM [permalink]

Derry FitzGerald, Audio Research Group, Dublin Institute of Technology, Dublin, Ireland (2013)

 

THE LISTENING MACHINE PROJECT

Dan Ellis, LabROSA, Columbia University, New York, New York (2009)

THE MULTI-SCALE SHORT-TIME FOURIER TRANSFORM (examples)

Nicolas Juillerat, Pervasive and AI Research Group, University of Fribourg, Switzerland, Stefan Müller Arisona, Media Arts and Technology, University of California, Santa Barbara, Simon Schubiger-Banz Computer Systems Institute, ETH Zürich, Switzerland (2008)

 

THE NORTHWESTERN UNIVERSITY SOURCE SEPARATION LIBRARY [PDF]

Ethan Manilow, Prem Seetharaman, Bryan Pardo, Northwestern University (2018)

THE PHASEBOOK: BUILDING COMPLEX MASKS VIA DISCRETE REPRESENTATIONS FOR SOURCE SEPARATION [PDF]

Jonathan Le Roux, Gordon Wichern, Shinji Watanabe, Andy Sarroff, John R. Hershey, Mitsubishi Electric Research Laboratories (MERL), Cambridge, MA, USA (2019)

THE ROBUSTNESS AND APPLICABILITY OF AUDIO SOURCE SEPARATION FROM SINGLE MIXTURES [PDF]

Md. Khademul Islam Molla, Keikichi Hirose, Nobuaki Minematsu, The University of Tokyo, Bunkyo-ku, Tokyo, Japan (2008)

 

THE SEPARATION SYSTEM OF THE MONOPHONIC MIXTURE BASED ON THE BLIND DECOMPOSITION METHOD (in Japanese) [PDF]

Takuya Murayama, Shuji Hashimoto (2006) 

THE SOUND OF PIXELS

Hang Zhao, Chuang Gan, Andrew Rouditchenko, Carl Vondrick Josh McDermott, and Antonio Torralba, Massachusetts Institute of Technology (2018)

THE SOUND OF PIXELS [PDF]

Hang Zhao, Chuang Gan, Andrew Rouditchenko, Carl Vondrick Josh McDermott, and Antonio Torralba, Massachusetts Institute of Technology (2018)

THE SPARSE DECOMPOSITION OF SOUND IN THE TIME DOMAIN USING NON-NEGATIVE QUADRATIC PROGRAMMING [PDF]

Conor Houghton, School of Mathematics, Trinity College Dublin, Dublin, Ireland (2009)

 

THE 2018 SIGNAL SEPARATION EVALUATION CAMPAIGN [PDF]

Fabian-Robert Stöter1, Antoine Liutkus1, and Nobutaka Ito2, 1 Inria and LIRMM, University of Montpellier, France, 2 NTT Communication Science Laboratories, NTT Corporation, Japan (2018)

TIMBRE-CONSTRAINED RECURSIVE TIME-VARYING ANALYSIS FOR MUSICAL NOTE SEPARATION [PDF]

Yiju Lin, Wei-Chen Chang, Tien-Ming Wang, Alvin W.Y. Su, SCREAM Lab., Department of CSIE, National Cheng-Kung University, Tainan, Taiwan, 

Wei-Hsiang Liao, Analysis/Synthesis Group, IRCAM, Paris, France (2013)

 

TIME-DEPENDENT PARAMETRIC AND HARMONIC TEMPLATES IN NON-NEGATIVE MATRIX FACTORIZATION [PDF]

Romain Hennequin, Roland Badeau and Bertrand David, Institut Telecom, Telecom ParisTech, Paris, France (2010)

 

TIME-DEPENDENT PARAMETRIC AND HARMONIC TEMPLATES IN NON-NEGATIVE MATRIX FACTORIZATION (slides) [PDF]

Romain Hennequin, Roland Badeau and Bertrand David, Institut Telecom, Telecom ParisTech, Paris, France (2010)

 

TIME-DEPENDENT RECURSIVE REGULARIZATION FOR SOUND SOURCE SEPARATION [permalink]

Tien-Ming Wang ; Dept. of Comput. Sci. & Inf. Eng., Nat. Cheng-Kung Univ., Tainan, Taiwan ; Ta-Chun Chen ; Yin-Lin Chen ; Su, A.W.Y. (2012)

 

TIME DOMAIN EXTRACTION OF VIBRATO FROM MONOPHONIC INSTRUMENTS [PDF]

Daniel Bendor, Undergraduate School of Electrical Engineering, University of Maryland at College Park, Mark Sandler, Department of Electronic Engineering, King’s College London (2000)

 

TIME-FREQUENCY FILTER BANK: A SIMPLE APPROACH FOR AUDIO AND MUSIC SEPARATION [permalink]

Ning Yang, College of Automation, Northwestern Polytechnical University, China, Muhammad Usman and Xiangjian He, School of Electrical and Data Engineering, University of Technology Sydney, Australia (2017)

TIME-FREQUENCY TRADE-OFFS FOR AUDIO SOURCE SEPARATION WITH BINARY MASKS [PDF]

Andrew J.R. Simpson, Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford, UK (2015)

 

TOWARDS AUTOMATED SINGLE CHANNEL SOURCE SEPARATION USING NEURAL NETWORKS [PDF]

Arpita Gang 1, Pravesh Biyani 1, Akshay Soni 2, 1 IIIT Delhi, India, 2 Oath Research, USA (2018)

TOWARDS COMPLEX MATRIX DECOMPOSITION OF SPECTROGRAMS BASED ON THE RELATIVE PHASE OFFSETS OF HARMONIC SOUNDS [PDF]

Holger Kirchhoff ∗1, Roland Badeau†2, Simon Dixon1, 1 Centre for Digital Music, Queen Mary University of London, UK, 2 Institut Mines-Télécom, Télécom ParisTech, Paris, France (2014)

 

TOWARD FINDING OPTIMAL SOURCE DICTIONARIES FOR SINGLE CHANNEL MUSIC SOURCE SEPARATION USING NONNEGATIVE MATRIX FACTORIZATION [permalink]

Bhathiya Rathnayake, K.M.K. Weerakoon, G.M.R.I. Godaliyadda, M.P.B. Ekanayake, Office of Research and Innovation Services (ORIS), Sri Lanka Technological Campus, CO, Sri Lanka (2018)

TOWARDS LIVE DRUM SEPARATION USING PROBABILISTIC SPECTRAL CLUSTERING BASED ON THE ITAKURA-SAITO DIVERGENCE [permalink]

Eric Battenberg1,2, Victor Huang1, David Wessel1,2, 1University of California, Berkeley, California, USA, 2Center for New Music and Audio Technologies, Berkeley, California, USA (2012)

 

TOWARDS MUSICAL INSTRUMENT SEPARATION USING MULTIPLE-CAUSE NEURAL NETWORKS [PDF]

J Klinseisen, M D Plumbley, Department of Electronic Engineering, King's College London, Strand, London, UK (2000)

 

TOWARDS SHIFTED NMF FOR IMPROVED MONAURAL SEPARATION [permalink]

R. Jaiswal ; D. Fitzgerald ; E. Coyle ; S. Rickard (2013)

 

TOWARDS SINGLE-CHANNEL UNSUPERVISED SOURCE SEPARATION OF SPEECH MIXTURES: THE LAYERED HARMONICS/FORMANTS SEPARATION-TRACKING MODEL [PDF]

Manuel Reyes-Gomez1, Nebojsa Jojic2, Daniel P.W. Ellis1, 1 LabROSA, Department of Electrical Engineering, Columbia University 2 Microsoft Research (2004)

 

TOWARDS SOLVING THE BOTTLENECK OF PITCH-BASED SINGING VOICE SEPARATION [permalink]

Bilei Zhu, Wei Li, Linwei Li, Fudan University, Shanghai, China (2015)

 

TOWARDS TRANSIENT RESTORATION IN SCORE-INFORMED AUDIO DECOMPOSITION [PDF]

Christian Dittmar, Meinard Müller, International Audio Laboratories Erlangen, Erlangen, Germany (2015)

 

TRACING SOUND OBJECTS IN AUDIO TEXTURES [PDF]

Monika Dörfler, Ewa Matusiak, University of Vienna, Faculty of Mathematics, NuHAG (2013)

TRANSCRIPTION AND SEPARATION OF DRUM SIGNALS FROM POLYPHONIC MUSIC [permalink]

Olivier Gillet, Associate Member, IEEE, and Gaël Richard, Senior Member, IEEE (2008)

 

TRANSIENT AND STEADY-STATE COMPONENT EXTRACTION USING NONLINEAR FILTERING [PDF]

Ignacio Irigaray, Universidad de la República IIE/FING, Montevideo, Uruguay, Luiz W. P. Biscainho, Universidade Federal do Rio de Janeiro DEL/Poli & PEE/COPPE, Rio de Janeiro, Brazil (2013)

 

TWO MULTIMODAL APPROACHES FOR SINGLE MICROPHONE SOURCE SEPARATION [permalink]

Farnaz Sedighin and Massoud Babaie-Zadeh, School of Electrical Engineering, Sharif University of Technology, Tehran, Iran, Bertrand Rivet and Christian Jutten, GIPSA Lab, Univ. Grenoble Alpes, Grenoble, France (2016)

 

TWO NONEXCLUSIVE NEURO-FUZZY CLASSIFIERS FOR RECOGNITION OF MUSICAL INSTRUMENTS [PDF]

G. Costantini1, F.M. Frattale Mascioli2, P.Antici1, 1Department of Electronics Engineering, University of Rome “Tor Vergata”, Roma, Italy, 2INFO-COM Department, University of Rome “La Sapienza”, Roma, Italy (1999)

 

TWO STAGE SINGLE CHANNEL AUDIO SOURCE SEPARATION USING DEEP NEURAL NETWORKS [PDF]

Emad M. Grais, Gerard Roma, Andrew J. R. Simpson, and Mark D. Plumbley, Fellow, IEEE, Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford, U.K. (2017)

UNDERDETERMINED BLIND AUDIO SOURCE SEPARATION USING MODAL DECOMPOSITION [PDF]

Abdeldjalil Aïssa-El-Bey, Karim Abed-Meraim, and Yves Grenier, Départment TSI, École Nationale Supérieure des Télécommunications (ENST), Paris, France (2007)

 

UNDERDETERMINED BLIND SOURCE SEPARATION BASED ON FUZZY C-MEANS AND SEMI-NONNEGATIVE MATRIX FACTORIZATION [permalink]

Ossama. S. Alshabrawy, M. E. Ghoneim, W. A. Awad, Aboul Ella Hassanien, Math. Dept., Mansoura University, Damietta, Egypt (2012)

UNDERDETERMINED SOURCE SEPARATION USING SPEAKER SUBSPACE MODELS [PDF]

Ron J. Weiss, Columbia University (2009)

 

UNDERDETERMINED SOURCE SEPARATION USING SPEAKER SUBSPACE MODELS (slides) [PDF]
Ron J. Weiss, Columbia University (2009)

 

UNIFYING LOCAL AND GLOBAL METHODS FOR HARMONIC-PERCUSSIVE SOURCE SEPARATION

International Audio Laboratories Erlangen (2018)

UNISON SOURCE SEPARATION [PDF]

Fabian-Robert Stöter, Stefan Bayer, Bernd Edler, International Audio Laboratories Erlangen, Erlangen, Germany (2014)

 

UNIVERSAL SOUND SEPARATION [PDF]

Ilya Kavalerov1,2∗, Scott Wisdom1, Hakan Erdogan1, Brian Patton1, Kevin Wilson1, Jonathan Le Roux3, John R. Hershey1, 1Google Research, Cambridge Massachusetts, 2Department of Electrical and Computer Engineering, UMD, 3Mitsubishi Electric Research Laboratories (MERL), Cambridge, Massachusetts (2019) 

UNIVERSAL SPEECH MODELS FOR SPEAKER INDEPENDENT SINGLE CHANNEL SOURCE SEPARATION [PDF]

Dennis L. Sun, Department of Statistics, Stanford University, Gautham J. Mysore, Adobe Research (2013)

 

UNSUPERVISED APPROACH TO MUSIC SOURCE SEPARATION USING GENERALIZED DIRICHLET PRIOR [PDF]

Park Jung Soo, Seoul National University, Seoul, South Korea (2018)

UNSUPERVISED AUDIO SOURCE SEPARATION VIA SPECTRUM ENERGY PRESERVED WASSERSTEIN LEARNING [PDF]

Ning Zhang, Junchi Yan, IBM, China (2017)

UNSUPERVISED LEARNING FOR MONAURAL SOURCE SEPARATION USING MAXIMIZATION–MINIMIZATION ALGORITHM WITH TIME–FREQUENCY DECONVOLUTION [PDF direct download]

Wai Lok Woo 1, Bin Gao 2, Ahmed Bouridane 3, Bingo Wing-Kuen Ling 4 and Cheng Siong Chin 5, 

1 School of Electrical and Electronic Engineering, Newcastle University, Newcastle upon Tyne, UK, 2 School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, China, 3 Department of Computer and Information Sciences, Northumbria University, Newcastle upon Tyne, UK, 4 Faculty of Information Engineering, Guangdong University of Technology, Guangzhou, China, 5 Faculty of Science Agriculture and Engineering, Newcastle University, Singapore, Singapore (2018)

UNSUPERVISED LEARNING METHODS FOR SOURCE SEPARATION IN MONAURAL MUSIC SIGNALS [PDF]

Tuomas Virtanen, Institute of Signal Processing, Tampere University of Technology, Tampere, Finland (2006)

 

UNSUPERVISED MONAURAL MUSIC SOURCE SEPARATION BY AVERAGE HARMONIC STRUCTURE MODELING (separation results)

Zhiyao Duan, Yungang Zhang, Changshui Zhang, Member, IEEE, Zhenwei Shi (2008)

UNSUPERVISED SINGING VOICE SEPARATION BASED ON ROBUST PRINCIPAL COMPONENT ANALYSIS EXPLOITING RANK-1 CONSTRAINT [PDF]

Feng Li and Masato Akagi, Japan Advanced Institute of Science and Technology, Nomi, Ishikawa, Japan (2018)

UNSUPERVISED SINGING VOICE SEPARATION USING GAMMATONE AUDITORY FILTERBANK AND CONSTRAINT ROBUST PRINCIPAL COMPONENT ANALYSIS [PDF]

Feng Li and Masato Akagi, Japan Advanced Institute of Science and Technology, Ishikawa, Japan (2018)

UNSUPERVISED SINGLE-CHANNEL MUSIC SOURCE SEPARATION BY AVERAGE HARMONIC STRUCTURE MODELING [permalink]

Zhiyao Duan, Yungang Zhang, Changshui Zhang, Member, IEEE, Zhenwei Shi (2008)

 

UNSUPERVISED SINGLE-CHANNEL SOURCE SEPARATION USING BAYESIAN NMF [permalink]

Onur Dikmen, A. Taylan Cemgil, Boğazic ̧ University, Computer Engineering Department, Istanbul, Turkey (2009)

 

UNSUPERVISED SINGLE CHANNEL SOURCE SEPARATION WITH NONNEGATIVE MATRIX FACTORIZATION [PDF]

A.M. Darsono, Shakir Saat, N.M. Z. Hashim, A.A.M ISA, Faculty of Electronics & Computer Engineering, Universiti Teknikal Malaysia Melaka, Melaka, Malaysia (2015)

 

UNTANGLING PHASE AND TIME IN MONOPHONIC SOUNDS [PDF direct download]

Henning Thielemann, Institut für Informatik, Martin-Luther-Universität Halle-Wittenberg, Halle, Germany (2010)

 

UNTWIST: A NEW TOOLBOX FOR AUDIO SOURCE SEPARATION [PDF]

Gerard Roma, Emad M. Grais, Andrew J.R. Simpson, Iwona Sobieraj, Mark D. Plumbley, Centre for Vision, Speech and Signal Processing, University of Surrey , UK (2016)

UPMIXING FROM MONO - A SOURCE SEPARATION APPROACH [PDF]

Derry FitzGerald, Audio Research Group, Dublin Institute of Technology, 17th International Conference on Digital Signal Processing, Corfu, Greece (2011)

USER ASSISTED SEPARATION OF REPEATING PATTERNS IN TIME AND FREQUENCY USING MAGNITUDE PROJECTIONS [PDF]

Derry FitzGerald1, Zafar Rafii2, Antoine Liutkus3, 1 School of Music, Cork Institute of Technology, Cork, Ireland, 2 Gracenote, Applied Research, Emeryville, California, USA 3 Inria, Villiers-Le`s-Nancy, France (2017)

USER ASSISTED SEPARATION OF REPEATING PATTERNS IN TIME AND FREQUENCY USING MAGNITUDE PROJECTIONS (poster) [PDF]

Derry FitzGerald1, Zafar Rafii2, Antoine Liutkus3, 1 School of Music, Cork Institute of Technology, Cork, Ireland, 2 Gracenote, Applied Research, Emeryville, California, USA 3 Inria, Villiers-Le`s-Nancy, France (2017)

USER ASSISTED SEPARATION USING TENSOR FACTORISATIONS [PDF]

Derry FitzGerald, Audio Research Group, School of Electrical Engineering Systems, Dublin Institute of Technology, Ireland (2012)

 

USER ASSISTED SOURCE SEPARATION USING NON-NEGATIVE MATRIX FACTORISATION [PDF]

Derry FitzGerald, Dublin Institute of Technology (2011)

USER GUIDED AUDIO SELECTION FROM COMPLEX SOUND MIXTURES

Paris Smaragdis, Adobe Systems Inc. (2009)

USER GUIDED AUDIO SELECTION FROM COMPLEX SOUND MIXTURES (demo video)

Paris Smaragdis, Creative Technologies Lab, Adobe Systems Inc. (2012)

 

USER-GUIDED SOURCE SEPARATION, LVA/ICA 2012

J.-L. Durrieu, J.-Ph. Thiran (2012)

 

USING BRIEF GLIMPSES TO DECOMPOSE MIXTURES [permalink]

A. S. Bregman 

 

USING SCORE-INFORMED CONSTRAINTS FOR NMF-BASED SOURCE SEPARATION [permalink]

Ewert, S. ; Univ. of Bonn, Bonn, Germany ; Muller, M. (2012)

 

USING SCORE-INFORMED CONSTRAINTS FOR NMF-BASED SOURCE SEPARATION (results)

Ewert, S. ; Univ. of Bonn, Bonn, Germany ; Muller, M. (2012)

 

USING TENSOR FACTORISATION MODELS TO SEPARATE DRUMS FROM POLYPHONIC MUSIC [PDF]

Derry FitzGerald, Dublin Institute of Technology, Matt Cranitch, Cork Institute of Technology, Eugene Coyle, Dublin Institute of Technology (2009)

 

VARIATIONAL BAYESIAN INFERENCE FOR SOURCE SEPARATION AND ROBUST FEATURE EXTRACTION [PDF]

Kamil Adiloğlu, HörTech gGmbH, Oldenburg, Germany, Emmanuel Vincent, Inria, Villers-lès-Nancy, France <hal-00726146v2> (2016)

VARIATIONAL BAYESIAN MODEL AVERAGING FOR AUDIO SOURCE SEPARATION [PDF]

Xabier Jaureguiberry 1∗, Emmanuel Vincent 2, Gaël Richard 1, 1 Institut Mines-Télécom, Télécom ParisTech, Paris, France, 2 Inria, Villers-lès-Nancy, France (2014)

 

VARIATIONAL INFERENCE IN NON-NEGATIVE FACTORIAL HIDDEN MARKOV MODELS FOR EFFICIENT AUDIO SOURCE SEPARATION [PDF]

Gautham J. Mysore, Advanced Technology Labs, Adobe Systems Inc., San Francisco, California, USA, Maneesh Sahani, Gatsby Computational Neuroscience Unit, University College, London, UK (2012)

 

VISUAL AUDIO: AN INTERACTIVE TOOL FOR ANALYZING AND EDITING OF AUDIO IN THE SPECTROGRAM [PDF direct download]

C. G. v. d. Boogaart, R. Lienhart, Institut für Informatik, Universität Augsburg, Augsburg, Germany (2005)

 

VOCAL ACTIVITY INFORMED SINGING VOICE SEPARATION WITH THE IKALA DATASET [PDF]

Tak-Shing Chan1, Tzu-Chun Yeh2, Zhe-Cheng Fan2, Hung-Wei Chen3, Li Su1, Yi-Hsuan Yang1, Roger Jang2, 1Research Center for Information Technology Innovation, Academia Sinica, Taiwan, 2Department of Computer Science and Information Engineering, National Taiwan University, Taiwan, 3 iKala Interactive Media Inc., Taiwan (2015)

VOCAL DETECTION IN MONAURAL MIXTURES [PDF]

Anders Elowsson, Ragnar Schön, Matts Höglund, Elias Zea, Anders Friberg, KTH, Royal Institute of Technology, Stockholm, Sweden (2014)

VOCAL EXTRACTION FROM MUSIC USING RPCA DECOMPOSITION [PDF]

Samuel Frank, Shahriar Mokhtari-Sharghi, Joaquín Ruales, Nicholas Ursa, Columbia University (2014)

VOCAL-INSTRUMENT SEPARATION PROGRAM [PDF]

Dahyun Chung and Thomas Downey, University of Rochester, Audio and Music Engineering, Rochester, New York (2017)

VOCAL-INSTRUMENT SEPARATION PROGRAM (poster) [PDF]

Dahyun Chung and Thomas Downey, University of Rochester, Audio and Music Engineering, Rochester, New York (2017)

VOCAL MELODY EXTRACTION IN THE PRESENCE OF PITCHED ACCOMPANIMENT IN POLYPHONIC MUSIC [permalink]

Vishweshwara Rao, Preeti Rao, Department of Electrical Engineering, Indian Institute of Technology Bombay, Powai, Mumbai, India (2010)

 

VOCAL SEPARATION

librosa-gallery (2016-2017)

VOCAL SEPARATION BY CONSTRAINED NON-NEGATIVE MATRIX FACTORIZATION [PDF]

Eri Ochiai, Takanori Fujisawa, Masaaki Ikehara, EEE Dept., Keio Univ., Yokohama, Kanagawa, Japan (2015)

 

VOCAL SEPARATION FROM MONAURAL MUSIC USING ADAPTIVE AUDITORY FILTERING BASED ON KERNEL BACK-FITTING [PDF]

Jun-Yong Lee, Hye-Seung Cho, Hyoung-Gook Kim, Kwangwoon University, Seoul, Rep. of Korea (2015)

VOCAL SEPARATION FROM MONAURAL MUSIC USING TEMPORAL/SPECTRAL CONTINUITY AND SPARSITY CONSTRAINTS [permalink]

Il-Young Jeong, Music & Audio Res. Group, Seoul Nat. Univ., Seoul, South Korea, Kyogu Lee (2014)

 

VOCAL SEPARATION FROM MONAURAL MUSIC USING TEMPORAL/SPECTRAL CONTINUITY AND SPARSITY CONSTRAINTS (demos)

Il-Young Jeong, Music & Audio Res. Group, Seoul Nat. Univ., Seoul, South Korea, Kyogu Lee (2014)

 

VOCAL SEPARATION FROM MONAURAL MUSIC USING TEMPORAL/SPECTRAL CONTINUITY AND SPARSITY CONSTRAINTS (poster) [PDF]

Il-Young Jeong, Music & Audio Res. Group, Seoul Nat. Univ., Seoul, South Korea, Kyogu Lee (2015)

VOCAL SEPARATION METHOD USING WEIGHTED β-ORDER MINIMUM MEAN SQUARE ERROR ESTIMATION BASED ON KERNEL BACK-FITTING (in Korean) [PDF direct download]

Hye-Seung Cho and Hyoung-Gook Kim†, †Department of Electronics Convergence Engineering, Kwang- woon University, Seoul, Republic of Korea (2015)

VOCAL SEPARATION USING EXTENDED ROBUST PRINCIPAL COMPONENT ANALYSIS WITH SCHATTEN P/LP-NORM AND SCALE COMPRESSION [permalink]

Il-Young Jeong1 and Kyogu Lee1,2, 1Music and Audio Research Group, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, Korea, 2Advanced Institutes of Convergence Technology, Suwon, Korea (2014)

 

VOCAL SEPARATION USING EXTENDED ROBUST PRINCIPAL COMPONENT ANALYSIS WITH SCHATTEN P/LP-NORM AND SCALE COMPRESSION (poster) [PDF]
Il-Young Jeong1 and Kyogu Lee1,2, 1Music and Audio Research Group, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, Korea, 2Advanced Institutes of Convergence Technology, Suwon, Korea (2014)

 

VOCAL SEPARATION USING NEAREST NEIGHBOURS AND MEDIAN FILTERING [PDF]

Derry FitzGerald, Dublin Institute of Technology, 23rd IET Irish Signals and Systems Conference, Maynooth (2012)

 

VOCAL SEPARATION USING SINGER-VOWEL PRIORS OBTAINED FROM POLYPHONIC AUDIO [PDF]

Shrikant Venkataramani1, Nagesh Nayak2, Preeti Rao1, and Rajbabu Velmurugan1, 1Department of Electrical Engineering , IIT Bombay , Mumbai, 2Sensibol Audio Technologies Pvt. Ltd. (2014)

 

VOICE & MUSIC PATTERN EXTRACTION: A REVIEW [PDF]

Pooja Gautam1 and B S Kaushik2, 1Electronics & Telecommunication Department, RCET, Bhilai,Bhilai (C.G.) India, 2Electrical & Instrumentation Department, Bhilai (C.G.) India (2016)

VOICE AND STREAM: PERCEPTUAL AND COMPUTATIONAL MODELING OF VOICE SEPARATION [permalink]

Emilios Cambouropoulos, Aristotle University of Thessaloniki, Greece (2008)

VOICE/MUSIC SEPARATION RESEARCH (sound samples)

H. Deif, L. Gan, W. Wang and and S. Alhashmi

VOICE SEPARATION IN POLYPHONIC MUSIC: A DATA-DRIVEN APPROACH [PDF]

Anna Jordanous, Music Informatics, University of Sussex (2008)

 

‘VOICE’ SEPARATION: THEORETICAL, PERCEPTUAL AND COMPUTATIONAL PERSPECTIVES [PDF]

Emilios Cambouropoulos, Department of Music Studies, Aristotle University of Thessaloniki, Thessaloniki, Greece (2006)

 

VQ-BASED SINGLE–CHANNEL AUDIO SEPARATION FOR MUSIC AND SPEECH MIXTURES [PDF]

Pejman Mowlaee, Abolghasem Sayadiyan, Hamid Shekhzadeh Nadjar, Electrical Engineering Department, Amirkabir University of Technology, Tehran, Iran (2010)

 

WAVE-U-NET: A MULTI-SCALE NEURAL NETWORK FOR END-TO-END AUDIO SOURCE SEPARATION [PDF]

Daniel Stoller, Queen Mary University of London, Sebastian Ewert, Spotify, Simon Dixon, Queen Mary University of London (2018)

WEAK LABEL SUPERVISION FOR MONAURAL SOURCE SEPARATION USING NON-NEGATIVE DENOISING VARIATIONAL AUTOENCODERS [PDF]

Ertuğ Karamatlı1,2, Ali Taylan Cemgil1, Serap Kırbız3, 1 Department of Computer Engineering, Boğaziçi University, İstanbul, Turkey, 2 sahibinden.com, İstanbul, Turkey, 3 Department of Electrical and Electronics Engineering, MEF University, İstanbul, Turkey (2018)

WEAKLY SUPERVISED AUDIO SOURCE SEPARATION VIA SPECTRUM ENERGY PRESERVED WASSERSTEIN LEARNING [PDF]

Ning Zhang1, Junchi Yan2, Yuchen Zhou1, 1 IBM Research – China, Beijing, P.R. China, 2 Shanghai Jiao Tong University, Shanghai, P.R. China (2018)

WHAT IS NMF (slide show)

Sayan Patra (2014)

 

WIENER BASED SOURCE SEPARATION WITH HMM/GMM USING A SINGLE SENSOR [PDF]

Laurent Benaroya, Frédéric Bimbot, IRISA (CNRS & INRIA), METISS, Rennes Cedex, France (2003)

WILDMIX DATASET AND SPECTRO-TEMPORAL TRANSFORMER MODEL FOR MONOAURAL AUDIO SOURCE SEPARATION [PDF]

Amir Zadeh†, Tianjun Ma†, Soujanya Poria , Louis-Philippe Morency†, † Language Technologies Institute, School of Computer Science, Carnegie Mellon University, ∗ Singapore University of Technology and Design (2019)

WIMP2: MUSIC REMIXING AND UPMIXING USING SOURCE SEPARATION (video)

Gerard Roma, 2nd AES Workshop on Intelligent Music Production at the Centre for Digital Music at Queen Mary University of London (2016)

WINDOW SELECTION FOR ACCURATE MUSIC SOURCE SEPARATION USING REPET

Shivam Sharma and V. K. Mittal, Indian Institute of Information Technology Chittoor, Sri City, A.P., India (2016)