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RESEARCH [AD - AZ]

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!

 

ADAPTATION DE MODÈLES STATISTIQUES POUR LA SÉPARATION DE SOURCES MONO-CAPTEUR TEXTE IMPRIMÉ : APPLICATION À LA SÉPARATION VOIX / MUSIQUE DANS LES CHANSONS (in French) [PDF]

Alexey OzerovUniversité Rennes 1Rennes, France <tel-00564866> (2006)

 

ADAPTATION OF BAYESIAN MODELS FOR SINGLE-CHANNEL SOURCE SEPARATION AND ITS APPLICATION TO VOICE/MUSIC SEPARATION IN POPULAR SONGS [permalink]

Alexey Ozerov, Pierrick Philippe, Frédéric Bimbot, and Rémi Gribonval, IEEE TRANSACTIONS ON AUDIO, SPEECH, AND LANGUAGE PROCESSING, VOL. 15, NO. 5 (2007)

 

ADAPTATION OF SOURCE-SPECIFIC DICTIONARIES IN NON-NEGATIVE MATRIX FACTORIZATION FOR SOURCE SEPARATION [PDF]

Xabier Jaureguiberry, Pierre Leveau, Simon Maller, Juan José Burred, Audionamix, Paris, France (2011)

 

ADAPTATION OF SPEAKER-SPECIFIC BASES IN NON-NEGATIVE MATRIX FACTORIZATION FOR SINGLE CHANNEL SPEECH-MUSIC SEPARATION [PDF]

Emad M. Grais and Hakan Erdogan, Faculty of Engineering and Natural Sciences, Sabanci University, Orhanli Tuzla, Istanbul, Turkey (2011)

 

ADAPTIVE DENOISING AUTOENCODERS: A FINE-TUNING SCHEME TO LEARN FROM TEST MIXTURES [PDF]

Minje Kim1 and Paris Smaragdis2, 1 Department of Computer Science, University of Illinois at Urbana-Champaign, 2 University of Illinois at Urbana-Champaign, Adobe Research (2015)

 

ADAPTIVE FILTERING FOR MUSIC/VOICE SEPARATION EXPLOITING THE REPEATING MUSICAL STRUCTURE [PDF]

Antoine Liutkus1, Zafar Rafii2, Roland Badeau1, Bryan Pardo2, Gäel Richard1, 1Telecom ParisTech, CNRS LTCI, Paris, France 2Northwestern University, EECS Department, Evanston, Illinois (2012)

 

ADAPTIVE FILTERING FOR MUSIC/VOICE SEPARATION EXPLOITING THE REPEATING MUSICAL STRUCTURE (slides) [PDF]

Antoine Liutkus1, Zafar Rafii2, Roland Badeau1, Bryan Pardo2, Gäel Richard1, 1Telecom ParisTech, CNRS LTCI, Paris, France 2Northwestern University, EECS Department, Evanston, Illinois (2012)

 

ADAPTIVE FRONT-ENDS FOR END-TO-END SOURCE SEPARATION [PDF]

Shrikant Venkataramani, Jonah Casebeer, Paris Smaragdis, University of Illinois at Urbana-Champaign (2017)

ADAPTIVE HARMONIC SPECTRAL DECOMPOSITION FOR MULTIPLE PITCH ESTIMATION [PDF]

Emmanuel Vincent, Nancy Bertin, Roland Badeau, IRISA <inria-00350163v1>  (2009)

 

ADAPTIVE PROCESSING AND LEARNING FOR AUDIO SOURCE SEPARATION [PDF]

Jen-Tzung Chien∗, Hiroshi Sawada† and Shoji Makino‡, ∗ Department of Electrical and Computer Engineering, National Chiao Tung University, Hsinchu, Taiwan, † NTT Service Evolution Laboratories, NTT Corporation, Yokosuka-shi, Kanagawa, Japan, ‡ Graduate School of Systems and Information Engineering, University of Tsukuba, Ibaraki, Japan (2013)

 

ADAPTIVE SPARSITY NON-NEGATIVE MATRIX FACTORIZATION FOR SINGLE-CHANNEL SOURCE SEPARATION [permalink]

Bin Gao, W. L. Woo, Member, IEEE, and S. S. Dlay, School of Electrical, Electronic, and Computer Engineering, Newcastle University, Newcastle upon Tyne, U.K. (2011)

 

ADAPTIVE TIME-FREQUENCY RESOLUTION FOR ANALYSIS AND PROCESSING OF AUDIO [permalink]

Alexey Lukin1, AES Student Member, Jeremy Todd2, AES Member, 1 Moscow State University, Moscow, Russia, 2 iZotope, Inc., Cambridge, Massachusetts (2006)

 

ADAPTIVE TIME-FREQUENCY RESOLUTION FOR ANALYSIS AND PROCESSING OF AUDIO (slides) [PPT direct download]
Alexey Lukin1, AES Student Member, Jeremy Todd2, AES Member, 1 Moscow State University, Moscow, Russia, 2 iZotope, Inc., Cambridge, Massachusetts (2006)

 

ADAPTIVE TIME-FREQUENCY RESOLUTION FOR BLIND SOURCE SEPARATION [PDF]

Alexandra Craciun, Martin Spiertz, Institut für Nachrichtentechnik, RWTH Aachen, Aachen, Germany (2010)

 

ADAPTIVE WEIGHTS FOR NMF WITH ADDITIONAL PRIORS [permalink]

Julian M. Becker, Martin Rohbeck, Christian Rohlfing, Institut für Nachrichtentechnik, RWTH Aachen University, Germany (2015)

 

ADVANCES IN MODELS FOR ACOUSTIC PROCESSING (presentation) [PDF]

David Barber and Taylan Cemgil, Signal Processing and Communications Lab., University of Cambridge, Dept. of Engineering, Cambridge, UK (2006)

 

ADVERSARIAL SEMI-SUPERVISED AUDIO SOURCE SEPARATION APPLIED TO SINGING VOICE EXTRACTION [PDF]

Daniel Stoller, Sebastian Ewert, Simon Dixon, Queen Mary University of London, UK (2017)

AGGLOMERATIVE HIERARCHICAL CLUSTERING OF BASIS VECTOR FOR MONAURAL SOUND SOURCE SEPARATION BASED ON NMF [PDF]

Kentaro Murai∗, Taiho Takeuchi†, and Yosuke Tatekura∗, ∗ Graduate School of Integrated Science and Technology, Shizuoka Universeity, Shizuoka, Japan, † Graduate School of Science and Technology, Shizuoka University, Shizuoka, Japan (2018)

ALGORITHMS FOR SOURCE SEPARATION - WITH COCKTAIL PARTY APPLICATIONS [PDF direct download]

Rasmus Kongsgaard Olsson, Technical University of Denmark, Informatics and Mathematical Modelling (2007)

 

AMPLITUDE MODULATION DECORRELATION FOR CONVOLUTIVE BLIND SOURCE SEPARATION [PDF]

Jörn Anemüller, Birger Kollmeier, Arbeitsgruppe Medizinische Physik and Graduiertenkolleg Psychoakustik, Carl von Ossietzky-Universität, Oldenburg, Germany (2000)

 

AN ADAPTIVE SPARSE ALGORITHM FOR SYNTHESIZING NOTE SPECIFIC ATOMS BY SPECTRUM ANALYSIS, APPLIED TO MUSIC SIGNAL SEPARATION [permalink]

Mohammadali Azamian1, Ehsanollah Kabir1, Sanaz Seyedin2, Ellips Masehian3, 1Department of Electrical and Computer Engineering, Tarbiat Modares University, Iran, 2Department of Electrical Engineering, Amirkabir University of Technology, Iran, 3Faculty of Engineering, Tarbiat Modares University, Iran (2017)

AN ADAPTIVE TIME-FREQUENCY DISTRIBUTION WITH APPLICATIONS FOR AUDIO SIGNAL SEPARATION [PDF]

Matthew Van Dyke Kotvis, University of Miami (1997)

 

AN ADAPTIVE TIME-FREQUENCY RESOLUTION APPROACH FOR NON-NEGATIVE MATRIX FACTORIZATION BASED SINGLE CHANNEL SOUND SOURCE SEPARATION [PDF]

Serap Kırbız, Istanbul Technical University, Turkey, Paris Smaragdis, University of Illinois at Urbana-Champaign & Adobe Systems Inc. (2011)

 

AN ADAPTIVE TIME-FREQUENCY RESOLUTION FRAMEWORK FOR SINGLE CHANNEL SOURCE SEPARATION BASED ON NON-NEGATIVE TENSOR FACTORIZATION [permalink]

S. Kırbız, B. Günsel, Multimedia Signal Processing and Pattern Recognition Group, Dept. of Electronics and Comm. Eng., İstanbul Technical University, Turkey (2013)

 

AN APPROACH FOR THE SEPARATION OF VOICES IN COMPOSITE MUSIC SIGNALS [PDF]

Robert Crawford Maher, University of Illinois at Urbana-Champaign (1989)

 

AN APPROACH TO BLIND SOURCE SEPARATION BASED ON TEMPORAL STRUCTURE OF SPEECH SIGNALS [PDF]

Noboru Murata, Shiro Ikeda, Lab. for Information Synthesis RIKEN Brain Science Institute, Andreas Ziehe, GMD FIRST, Berlin (2001)

 

AN AUDITORY SCENE ANALYSIS APPROACH TO MONAURAL SPEECH SEGREGATION [permalink]

Guoning Hu1 and DeLiang Wang2, 1 The Ohio State University, Biophysics Program, Columbus, Ohio, 2 The Ohio State University, Department of Computer Science & Engineering and Center for Cognitive Science, Columbus, Ohio (2006)

 

AN AUTOENCODER AS A NAIVE APPROACH TO AUDIO SOURCE SEPARATION [PDF]

Erich Paul Andrag, University of Warwick, Coventry, U.K. (2015)

 

AN AUTOMATED SOURCE SEPARATION TECHNOLOGY AND ITS PRACTICAL APPLICATIONS [permalink]

Alexandre Vaneph, Ellie McNeil, François Rigaud, and Rick Silva, Audionamix (2016)

AN AUTOMATIC UNMIXER FOR RECORDINGS OF REAL ENSEMBLE MUSIC PERFORMANCES (in Japanese) [permalink]

Kashino Kunio, Murase Hiroshi, NTT Basic Research Laboratories (1998)

AN EFFICIENT EXTRACTION OF VOCAL PORTION FROM MUSIC ACCOMPANIMENT USING TREND ESTIMATION [PDF]

Aisvarya V, Suganthy M, Dept. of ECE, Sree Sastha Institute of Engg. & Tech., Chennai, Tamilnadu, India (2014)

 

AN EFFICIENT POSTERIOR REGULARIZED LATENT VARIABLE MODEL FOR INTERACTIVE SOUND SOURCE SEPARATION [PDF]

Nicholas J. Bryan - Center for Computer Research in Music and Acoustics, Stanford University, Gautham J. Mysore - Adobe Research (2013)

 

AN ENSEMBLE METHOD FOR LEARNING TO EXTRACT VOCALS FROM POLYPHONIC MUSICAL AUDIO [PDF]

Matt McVicar, Tijl De Bie, Intelligent Systems Laboratory, University of Bristol, Bristol, United Kingdom (2015)

 

AN EXPERIMENTAL APPROACH TO GENERALIZED WIENER FILTERING IN MUSIC SOURCE SEPARATION [permalink]

Christian Dittmar, Jonathan Driedger, Meinard Müller, International Audio Laboratories Erlangen, Erlangen, Germany, Jouni Paulus, Fraunhofer Institute for Integrated Circuits, Erlangen, Germany (2016)

AN EXPERIMENTAL SURVEY ON NON-NEGATIVE MATRIX FACTORIZATION FOR SINGLE CHANNEL BLIND SOURCE SEPARATION [PDF]

Mona Nandakumar M, Edet Bijoy K, Department of Electronics and Communication Engineering MES College of Engineering Kuttippuram, Kerala, India (2014)

 

AN EXPLORATION INTO THE APPLICATION OF CONVOLUTIONAL NEURAL NETWORKS FOR INSTRUMENT CLASSIFICATION ON MONOPHONIC NOTE SAMPLES [PDF]

James Owers, Research Centre for Doctoral Training in Data Science, School of Informatics, University of Edinburgh, Edinburgh, Scotland (2016)

AN EXPLORATION OF COMPLEX MATRIX FACTORIZATION AS A TOOL FOR SINGLE-CHANNEL MUSICAL SOURCE SEPARATION [PDF]

James (Chuck) Bronson, Department of Music Research, Schulich School of Music, McGill University, Montreal, Canada (2013)

 

AN EXTENSION FOR SOURCE SEPARATION TECHNIQUES AVOIDING BEATS [PDF]

Harold Viste, Communication Systems Department, Swiss Federal Institute of Technology Lausanne, Gianpaolo Evangelista, Dep. of Physical Sciences, Univ. of Naples, Italy, Swiss Federal Institute of Technology Lausanne (2002)

 

AN INTERACTIVE AUDIO SOURCE SEPARATION FRAMEWORK BASED ON NON-NEGATIVE MATRIX FACTORIZATION [permalink]

Ngoc Q. K. Duong, Alexey Ozerov, Louis Chevallier, and Joël Sirot, Technicolor (2014)

 

AN INVESTIGATION OF DISCRETE-STATE DISCRIMINANT APPROACHES TO SINGLE-SENSOR SOURCE SEPARATION [permalink]

Valentin Emiya, Emmanuel Vincent, Rémi Gribonval Équipe-projet METISS, INRIA-IRISA, Campus de Beaulieu, 35042 Rennes Cedex, France (2009)

 

AN ITERATIVE APPROACH TO MONAURAL MUSICAL MIXTURE DE-SOLOING [permalink]

Jean-Louis Durrieu, Gaël Richard, Bertrand David, Institut TELECOM, TELECOM ParisTech, Paris, France (2009)

 

AN ITERATIVE APPROACH TO MONAURAL MUSICAL MIXTURE DE-SOLOING (poster) [PDF]
Jean-Louis Durrieu, Gaël Richard, Bertrand David, Institut TELECOM, TELECOM ParisTech, Paris, France (2009)

 

AN ITERATIVE, RESIDUAL-BASED APPROACH TO UNSUPERVISED MUSICAL SOURCE SEPARATION IN SINGLE-CHANNEL MIXTURES [PDF]

Georgios Siamantas, University of York, Department of Electronics (2009)

 

AN OVERVIEW OF INFORMED AUDIO SOURCE SEPARATION [PDF]

Antoine Liutkus1, Jean-Louis Durrieu2, Laurent Daudet1, Gaël Richard3, 1 Institut Langevin, ESPCI ParisTech, Paris Diderot University, Paris, France 2 Signal Processing Laboratory (LTS5), EPFL, Lausanne, Switzerland, 3 Télécom ParisTech, Institut Mines-Télécom, Paris, France <hal-00958661> (2013)

AN OVERVIEW OF LEAD AND ACCOMPANIMENT SEPARATION IN MUSIC [permalink]

Zafar Rafii, Gracenote, Emeryville, CA, USA, Antoine Liutkus, Inria and LIRMM, University of Montpellier, Montpellier, France, Fabian-Robert Stöter, Inria and LIRMM, University of Montpellier, Montpellier, France, Stylianos Ioannis Mimilakis, Fraunhofer IDMT, Ilmenau, Germany, Derry FitzGerald, Cork School of Music, Cork Institute of Technology, Cork, U.K., Bryan Pardo, Northwestern University, Evanston, IL, USA (2018)

ANALYSE SPECTRALE À HAUTE RÉSOLUTION ET DÉCOMPOSITIONS NON-NÉGATIVES APPLIQUÉES AU TRAITEMENT DES SIGNAUX DE MUSIQUE (slides) (in French) [PDF]

Roland Badeau, Soutenance d’Habilitation à Diriger des Recherches, Télécom ParisTech, Paris, France (2010)

 

ANALYSIS AND RESYNTHESIS OF POLYPHONIC MUSIC [PDF]

Douglas John Edgar Nunn, School of Engineering, University of Durham (1997)

 

ANALYSIS AND SEPARATION OF AUDIO SIGNALS USING HIGH FREQUENCY RESOLUTION (thesis proposal) [PDF]

Christopher J. Smalt, Department of Electrical and Computer Engineering, Clarkson University (2006)

 

ANALYSIS-ASSISTED SOUND PROCESSING WITH AUDIOSCULPT [PDF]

Niels Bogaards, Analysis-Synthesis Team, IRCAM, Paris, France (2005)

ANALYSIS OF PARAMETER BOUNDS FOR MONO AUDIO SIGNAL STREAM SEPARATION USING COMBINED PCA/ICA TECHNIQUES [PDF]

Tania Barrett, Ian Burnett, Jason Lukasiak, SECTE, University of Wollongong (2002)

 

ANALYSIS OF POLYPHONIC AUDIO USING SOURCE-FILTER MODEL AND NON-NEGATIVE MATRIX FACTORIZATION [PDF]

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

 

ANALYSIS OF POLYPHONIC AUDIO USING SOURCE-FILTER MODEL AND NON-NEGATIVE MATRIX FACTORIZATION (poster) [PDF]
Tuomas Virtanen and Anssi Klapuri, Tampere University of Technology, Institute of Signal Processing, Tampere, Finland (2006)

 

APPLICATION OF FRM FILTERS FOR MUSICAL NOTES SEPARATION [permalink]

Say Wei Foo ; Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore ; Lee, E.W.T.L. (2003)

 

APPLICATION OF INDEPENDENT COMPONENT ANALYSIS FOR SPEECH–MUSIC SEPARATION USING AN EFFICIENT SCORE FUNCTION ESTIMATION [PDF]

Arash Pishravian, Masoud Reza Aghabozorgi SahafSignal Processing Research Group, Electrical and Computer Eng. Dep., Yazd University, Iran (2012)

 

APPLYING SOURCE SEPARATION TO MUSIC [PDF]

Bryan Pardo, Antoine Liutkus, Zhiyao Duan, Gael Richard <hal-01945320> (2018)

ARTIFICIAL INTELLIGENCE FOR SOURCE SEPARATION / VOCAL EXTRACTION (demo video)

Dimitar Milev (2019)

ARTSTREAM: A NEURAL NETWORK MODEL OF AUDITORY SCENE ANALYSIS AND SOURCE SEGREGATION [PDF]

Stephen Grossberg 1, Krishna K. Govindarajan2, Lonce L. Wyse3, and Michael A. Cohen4, 1,4Department of Cognitive and Neural Systems andCenter for Adaptive Systems, Boston University, Boston, Massachusetts, USA, 2Krishna Govindarajan, SpeechWorks International, Boston, Massachusetts, USA, 

3Laboratories for Information Technology, Kent Ridge, Singapore, Republic of Singapore (2003)

AUDIO BRUSH: A TOOL FOR COMPUTER-ASSISTED SMART AUDIO EDITING [PDF]

C. G. v. d. Boogaart, R. Lienhart, Multimedia Computing Lab, University of Augsburg, Augsburg, Germany (2006)

 

AUDIO BRUSH: SMART AUDIO EDITING IN THE SPECTROGRAM [PDF direct download]

C. G. v. d. Boogaart, R. Lienhart, Institut für Informatik, Universität Augsburg, Augsburg, Germany (2006)

 

AUDIO EDITING IN THE TIME-FREQUENCY DOMAIN USING THE GABOR WAVELET TRANSFORM [PDF]

Ulf Hammarqvist, Uppsala Universitet (2011)

 

AUDIO IMPUTATION (examples)

Jinyu Han, Gautham J. Mysore, and Bryan Pardo (2012)

 

AUDIO IMPUTATION USING THE NON-NEGATIVE HIDDEN MARKOV MODEL [PDF]

Jinyu Han1, Gautham J. Mysore2, and Bryan Pardo1, 1 EECS Department, Northwestern University, 2 Advanced Technology Labs, Adobe Systems Inc. (2012)

AUDIO INPAINTING [PDF]

Amir Adler, Valentin Emiya, Maria Jafari, Michael Elad, Rémi Gribonval, Mark D. Plumbley, Centre de recherche INRIA Rennes – Bretagne Atlantique,

IRISA (2011)

AUDIO INPAINTING BY SPARSE REGULARIZATION METHODS (slides) [PDF]

Srđan Kitić, EQUIPE-PROJET PANAMA, Inria Rennes (2014)

AUDIO INTERPOLATION AND MORPHING VIA STRUCTURED-SPARSE LINEAR REGRESSION {PDF}

Corey Kereliuk and Philippe Depalle, McGill University, Centre for Interdisciplinary Research in Music Media and Technology, Philippe Pastier,

Simon Fraser University, School of Interactive Arts + Technology (2013)

AUDIOMINER - MATHEMATICAL SIGNAL ANALYSIS AND MODELING FOR MANIPULATION OF SOUND OBJECTS

AUDIO QUERY-BASED MUSIC SOURCE SEPARATION [PDF]

Jie Hwan Lee1,2, Hyeong-Seok Choi1,2, Kyogu Lee1,2, 1Music & Audio Research Group, Seoul National University, Korea, 2Center for Super Intelligence, Seoul National University, Korea (2019)

AUDIO SEGMENTATION USING DIFFERENT TIME-FREQUENCY REPRESENTATIONS [PDF]

C. Meyer, M. Spiertz, Institute of Communications Engineering, RWTH Aachen University, Aachen, Germany (2008)

AUDIO SIGNAL PROCESSING RESEARCH

Dr John Szymanski, Department of Electronics, University of York, Heslington, York, UK (2010)

 

AUDIO SIGNAL PROCESSING RESEARCH - RESULTS AND DEMOS #1

Dr John Szymanski, Department of Electronics, University of York, Heslington, York, UK (2010)

 

AUDIO SIGNAL PROCESSING RESEARCH - RESULTS AND DEMOS #2

Dr John Szymanski, Department of Electronics, University of York, Heslington, York, UK (2010)

 

AUDIO SIGNAL PROCESSING RESEARCH - RESULTS AND DEMOS #3

Dr John Szymanski, Department of Electronics, University of York, Heslington, York, UK (2010)

 

AUDIO SIGNAL SEPARATION AND CLASSIFICATION: A REVIEW PAPER [PDF]

Silk Smita, Sharmila Biswas, Sandeep Singh Solanki, Birla Institute of Technology, Mesra, Ranchi, India (2014)

 

AUDIO SIGNAL SEPARATION USING SUPERVISED NMF WITH TIME-VARIANT All-POLE-MODEL-BASED BASIS DEFORMATION [PDF]

Hiroaki Nakajima∗, Daichi Kitamura†, Norihiro Takamune∗, Shoichi Koyama∗, Hiroshi Saruwatari∗, Yu Takahashi§ and Kazunobu Kondo§, 

∗The University of Tokyo, Tokyo, Japan, †SOKENDAI (The Graduate University for Advanced Studies), Tokyo, Japan, §Research & Development Division, Yamaha Corporation, Iwata, Shizuoka, Japan (2016)

AUDIO SOURCE SEPARATION (slides) [PDF]

Elias Kokkinis, Accusonus (2015)

AUDIO SOURCE SEPARATION BASED ON INDEPENDENT COMPONENT ANALYSIS [permalink]

Shoji Makino, Shoko Araki, Ryo Mukai, Hiroshi Sawada (2004)

 

AUDIO SOURCE SEPARATION BASED ON LOW-RANK STRUCTURE AND STATISTICAL INDEPENDENCE (slides)

Daichi Kitamura, Research Associate, The University of Tokyo (2017)

AUDIO SOURCE SEPARATION BASED ON NONNEGATIVE MATRIX FACTORIZATION WITH GRAPH HARMONIC STRUCTURE [PDF]

Tomohiro Ichita∗, Seisuke Kyochi∗, and Keisuke Imoto†, ∗ The University of Kitakyushu, Fukuoka, Japan, † Ritsumeikan University, Shiga, Japan (2018)

AUDIO SOURCE SEPARATION BASED ON RESIDUAL REPROJECTION [PDF]

Choongsang Cho1, Jewoo Kim2, and Sangkeun Lee1, 1 Dept. of Imaging Engineering, The Graduate School of Advanced Imaging Science, Multimedia & Film at Chung-Ang University, Seoul, Rep. of Korea, 2 Dept. of Multimedia IP Research Center of Korea Electronics Technology Institute, Gyeonggi-do, Rep. of Korea (2015)

 

AUDIO SOURCE SEPARATION BY BASIS FUNCTION ADAPTATION [permalink]

Yinyi Guo ; Center for Comput. Res. in Music & Acoust., Stanford Univ., Stanford, CA, USA ; Mofei Zhu (2011)

 

AUDIO SOURCE SEPARATION BY PROBABILISTIC LATENT COMPONENT ANALYSIS [PDF]

Yinyi Guo, Mofei Zhu, Center for Computer Research in Music and Acoustics, Stanford University (2010)

AUDIO SOURCE SEPARATION: "DEMIXING" FOR PRODUCTION (presentation)

James Clarke, Abbey Road Studios (2017)

AUDIO SOURCE SEPARATION FOR MUSIC IN LOW-LATENCY AND HIGH-LATENCY SCENARIOS [PDF]

Ricard Marxer Piñón, Department of Information and Communication Technologies, Universitat Pompeu Fabra (2013)

 

AUDIO SOURCE SEPARATION FROM A MONAURAL MIXTURE USING CONVOLUTIONAL NEURAL NETWORK IN THE TIME DOMAIN [permalink]

Peng Zhang, Xiaohong Ma, Dalian University of Technology, China and Shuxue Ding, University of Aizu, Japan (2017)

AUDIO SOURCE SEPARATION FROM A MONAURAL MIXTURE USING CONVOLUTIONAL NEURAL NETWORK IN THE TIME DOMAIN (samples)

Peng Zhang, Xiaohong Ma, Dalian University of Technology, China and Shuxue Ding, University of Aizu, Japan (2017)

AUDIO SOURCE SEPARATION FROM THE MIXTURE USING EMPIRICAL MODE DECOMPOSITION WITH INDEPENDENT SUBSPACE ANALYSIS [PDF]

1Md. Khademul Islam Molla, 1Keikichi Hirose, 2Nobuaki Minematsu, 1Graduate School of Frontier Sciences, 2Graduate School of Information Science and Technology University of Tokyo, Tokyo, Japan (2004)

 

AUDIO SOURCE SEPARATION IN A MUSICAL CONTEXT [permalink]

Bryan Pardo, Ford Engineering Design Center, Northwestern University, Evanston, Illinois, USA, Zafar Rafii, Gracenote, Emeryville, California, USA, Zhiyao Duan, Dept. of Electrical and Computer Engineering, University of Rochester, Rochester, New York, USA (2018)

AUDIO SOURCE SEPARATION INFORMED BY REDUNDANCY WITH GREEDY MULTISCALE DECOMPOSITIONS [PDF]

Manuel Moussallam1,2 , Gaël Richard1 , Laurent Daudet2, 1 Institut Mines-Telecom - Telecom ParisTech CNRS/LTCI - UMR 5141, 2Institut Langevin - ESPCI ParisTech Paris Diderot Univ. - UMR 7587 (2012)

 

AUDIO SOURCE SEPARATION TECHNIQUES INCLUDING NOVEL TIME-FREQUENCY REPRESENTATION TOOLS [PDF]

Pablo Cancela, Universidad de la República, Montevideo, Uruguay (2015)

AUDIO SOURCE SEPARATION USING A DEEP AUTOENCODER [PDF]

Giljin Jang, School of Electronics Engineering, Kyungpook National University, Daegu, Republic of Korea, Han-Gyu Kim & Yung-Hwan Oh, Computer Science Department, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea (2014)

 

AUDIO SOURCE SEPARATION USING A REDUNDANT LIBRARY OF SOURCE SPECTRAL BASES FOR NON-NEGATIVE TENSOR FACTORIZATION [PDF]

Mahmoud Fakhry1,2, 1Doctoral School of ICT University of Trento, Trento, Italy, Piergiorgio Svaizer2, and Maurizio Omologo2, 2Center of Information Technology, Fondazione Bruno Kessler, Trento, Italy (2015)

AUDIO SOURCE SEPARATION USING DEEP NEURAL NETWORKS [PDF direct download]

Pritish Chandna, Music Technology Group, Universitat Pompeu Fabra, Barcelona, Spain (2016)

AUDIO SOURCE SEPARATION USING HIERARCHICAL PHASE-INVARIANT MODELS [PDF]

Emmanuel Vincent, METISS Group, IRISA-INRIA, Campus de Beaulieu, 35042 Rennes Cedex, France, (Emmanuel Vincent. Audio source separation using hierarchical phase-invariant models. 2009 ISCA Tutorial and Research Workshop on Non-linear Speech Processing (NOLISP). 2009, pp.12–16. <inria-00544170>) (2010)

 

AUDIO SOURCE SEPARATION USING INDEPENDENT COMPONENT ANALYSIS [PDF]

Nikolaos Mitianoudis, Department of Electronic Engineering, Queen Mary, University of London (2004)

 

AUDIO SOURCE SEPARATION USING MULTIPLE DEFORMED REFERENCES [permalink]

Nathan Souviraá-Labastie1, Anaik Olivero2, Emmanuel Vincent3, Frédéric Bimbot4, 1 Université de Rennes 1, IRISA - UMR 6074, France, 2 Inria, Centre Rennes - Bretagne-Atlantique, France, 3 Inria, Centre de Nancy - Grand Est, France, 4 CNRS, IRISA - UMR 6074, France (2014)

 

AUDIO SOURCE SEPARATION VIA MULTI-SCALE LEARNING WITH DILATED DENSE U-NETS

Sameeksha Katoch†, Jayaraman J. Thiagarajan‡, Huan Song+, Andreas Spanias†, Vivek Sivaraman Narayanaswamy† ††, †Arizona State University, ‡Lawrence Livermore National Labs, +Bosch Research North America (2019)

AUDIO SOURCE SEPARATION VIA THE GROUPING OF PARTIALS IN THE SUM-OF-SINUSOIDS MODEL [PDF]

Nicholas Esterer, Department of Music Research, Schulich School of Music, McGill University, Montreal, Canada (2016)

AUDIO SOURCE SEPARATION WITH A SINGLE SENSOR [PDF]

Laurent Benaroya, Frédéric Bimbot, Rémi Gribonval, RISA (CNRS & INRIA), METISS, Campus de Beaulieu, 35042 Rennes Cedex, France (2006)

 

AUDIO SOURCE SEPARATION WITH A SINGLE SENSOR (presentation) [PDF]
Laurent Benaroya, Frédéric Bimbot, Rémi Gribonval, Presented by Guy Rapaport, Signal and Image processing Lab (SIPL), Department of Electrical Engineering, Technion, Israel Institute of Technology (2006)

 

AUDIO SOURCE SEPARATION WITH A SINGLE SENSOR

Kfir Gedalyahu, Michal Levy, Signal & Image Processing Lab (2007)

 

AUDIO SOURCE SEPARATION WITH A SINGLE SENSOR (presentation) [PDF]

Kfir Gedalyahu, Michal Levy, Signal & Image Processing Lab (2007)

 

AUDIO SOURCE SEPARATION WITH DISCRIMINATIVE SCATTERING NETWORKS [PDF]

Pablo Sprechmann1, Joan Bruna2, Yann Lecun1,2, 1 NYU, Courant Institute of Mathematical Sciences, 2 Facebook AI Research (2015)

 

AUDIO SOURCE SEPARATION WITH MATCHING PURSUIT AND CONTENT-ADAPTIVE DICTIONARIES (MP-CAD) [permalink]

Namgook Cho, Yu Shiu and C.-C. Jay Kuo, Department of Electrical Engineering and Signal and Image Processing Institute, University of Southern California, Los Angeles, California (2007)

 

AUDIO SOURCE SEPARATION WITH TIME-FREQUENCY VELOCITIES [PDF]

Guy Wolf, Stéphane Mallat, Shihab Shamma, University of Maryland College Park (2014)

 

AUDIO SOURCES SEPARATION BY CLUSTERING TECHNIQUES [PDF]

Wei Fang, Stanford University, Stanford, California, USA (2011)

AUDIO SPECTROGRAM REPRESENTATIONS FOR PROCESSING WITH CONVOLUTIONAL NEURAL NETWORKS [PDF]

Lonce Wyse, National University of Singapore (2017)

AUDIO SUPER-RESOLUTION USING NEURAL NETS [PDF]

Volodymyr Kuleshov, S. Zayd Enam, and Stefano Ermon, Department of Computer Science, Stanford University (2017)

AUDIO UN-MIXING: AUDIO SEPARATION FOR BROADCASTING

BBC R&D PROJECTS (2013)

 

AUDLET FILTER BANKS: A VERSATILE ANALYSIS/SYNTHESIS FRAMEWORK USING AUDITORY FREQUENCY SCALES [PDF direct download]

Thibaud Necciari 1, Nicki Holighaus 1, Peter Balazs 1, Zdeněk Průša 1, Piotr Majdak 1, Olivier Derrien 2, 1 Acoustics Research Institute, Austrian Academy of Sciences, Vienna, Austria, 2 Universite de Toulon, Aix-Marseille Universite, CNRS-PRISM, Marseille, France (2018)

AUTOMATIC ALLOCATION OF NTF COMPONENTS FOR USER-GUIDED AUDIO SOURCE SEPARATION [PDF]

Çağdas Bilen, Alexey Ozerov and Patrick Pérez, Technicolor, Cesson Sévigné, France <hal-01259430> (2016)

AUTOMATIC DRUM TRANSCRIPTION AND SOURCE SEPARATION [PDF]

Derry FitzGerald, Conservatory of Music and Drama, Dublin Institute of Technology (2004)

 

AUTOMATIC EXTRACTION OF DRUM TRACKS FROM POLYPHONIC MUSIC SIGNALS [PDF]

Aymeric Zils, François Pachet, Olivier Delerue, Fabien Gouyon, Sony CSL – Paris, Paris, France (2002)

 

AUTOMATIC MUSICAL INSTRUMENT RECOGNITION [PDF]

Antti Eronen, Department of Information Technology, Tampere University of Technology, Tampere, Finland (2001)

 

AUTOMATIC MUSIC TRANSCRIPTION AND AUDIO SOURCE SEPARATION [PDF]

M D Plumbley, S A Abdallah, Department of Electronic Engineering, King’s College London, Strand, London (2001)

 

AUTOMATIC TRANSCRIPTION AND SEPARATION OF THE MAIN MELODY IN POLYPHONIC MUSIC SIGNALS [PDF]

Jean-Louis Durrieu, Télécom ParisTech, Paris, France (2010)

 

AUXILIARY FUNCTION APPROACH TO PARAMETER ESTIMATION OF CONSTRAINED SINUSOIDAL MODEL FOR MONAURAL SPEECH SEPARATION [permalink]

Hirokazu Kameoka, NTT Communication Science Laboratories, Atsugi, Kanagawa, Japan, Nobutaka Ono, Shigeki Sagayama, Graduate School of Information Science and Technology, The University of Tokyo, Bunkyo-ku, Tokyo, Japan (2008)