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RESEARCH [SN - SZ]
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!
SNDAN: MUSICAL SOUND ANALYSIS, GRAPHICS, MODIFICATION, AND RESYNTHESIS ROUTINES FOR UNIX
James W. Beauchamp, Research Professor, Professor Emeritus, School of Music, Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
SOFT CONSTRAINED LEADING VOICE SEPARATION WITH MUSIC SCORE GUIDANCE [permalink]
Renbo Zhao, S.W. Lee, Dong-Yan Huang, Minghui Dong, Dept. of Electr. Eng., National University of Singapore, Singapore, Singapore (2014)
SOFT MASK METHODS FOR SINGLE-CHANNEL SPEAKER SEPARATION [permalink]
Aarthi M. Reddy and Bhiksha Raj, Member, IEEE (2007)
SOFTWARE FOR SPECTRAL ANALYSIS, EDITING, AND SYNTHESIS [PDF]
Michael Klingbeil (2005)
SOME ADVANCES IN ADAPTIVE SOURCE SEPARATION [PDF]
Jen-Tzung Chien, Hiroshi Sawada, Shoji Makino, APSIPA Newsletter (2014)
SOME CONTRIBUTIONS TO JOINT OPTIMAL FILTERING AND PARAMETER ESTIMATION WITH APPLICATION TO MONAURAL SPEECH SEPARATION [PDF]
Siouar Bensaid, University of Nice - Sophia Antipolis, Nice, France <tel-01063397> (2014)
SOME CONTRIBUTIONS TO MUSIC SIGNAL PROCESSING AND TO MONO-MICROPHONE BLIND AUDIO SOURCE SEPARATION [PDF]
Antony Schutz, TELECOM ParisTech (2011)
Tadej Droljc (2013)
SOUND ANALYSIS AND PROCESSING WITH AUDIOSCULPT 2 [PDF]
Niels Bogaards, Axel Röbel and Xavier Rodet, Analysis-Synthesis Team, IRCAM (2004)
SOUND DEMIXING CHALLENGE 2023 MUSIC DEMIXING TRACK TECHNICAL REPORT: TFC-TDF-UNET V3 [PDF]
Minseok Kim, Jun Hyung Lee, Soonyoung Jung, Department of Computer Science, Korea University (2023)
SOUND DEMOS FOR UNVOICED SINGING VOICE SEPARATION
Chao-Ling Hsu and Prof. Jyh-Shing Roger Jang
SOUND EDITING ON THE SONOGRAM [PDF]
Niels Bogaards, Analysis-Synthesis Team, IRCAM, Paris, France (2008)
SOUND ORGANIZATION BY SOURCE MODELS IN HUMANS AND MACHINES (presentation) [PDF]
Dan Ellis, Laboratory for Recognition and Organization of Speech and Audio, Dept. Electrical Eng., Columbia University, New York, USA (2006)
SOUNDPRISM: AN ONLINE SYSTEM FOR SCORE-INFORMED SOURCE SEPARATION OF MUSIC AUDIO [permalink]
Zhiyao Duan, Bryan Pardo, Department of Electrical Engineering and Computer Science, Northwestern University, Evanston, Illinois, USA (2011)
SOUNDPRISM: AN ONLINE SYSTEM FOR SCORE-INFORMED SOURCE SEPARATION OF MUSIC AUDIO (slides) [PPTX direct download]
Zhiyao Duan, Bryan Pardo, Department of Electrical Engineering and Computer Science, Northwestern University, Evanston, Illinois, USA (2011)
SOUND SEPARATION OF POLYPHONIC MUSIC USING INSTRUMENT PRINTS [PDF]
Kristóf Aczél 1 and Szabolcs Iváncsy 2, Department of Automation and Applied Informatics, Budapest University of Technology and Economics, Budapest, Hungary (2007)
SOUND SOURCE SEPARATION ALGORITHM COMPARISON USING POPULAR MUSIC [PDF]
Peter Somerville and Alexandra L. Uitdenbogerd, School of Computer Science and Information Technology, RMIT University Melbourne, Vic., Australia (2009)
SOUND SOURCE SEPARATION: AN INTRODUCTION (slides) [PDF]
Dr. Estefanía Cano, Semantic Music Technologies, Fraunhofer Institute for Digital Media Technology IDMT (2018)
SOUND SOURCE SEPARATION AND MUSIC CONTENT ANALYSIS DEMONSTRATIONS
Tuomas Virtanen, Tampere University of Technology, Department of Signal Processing, Audio Research Group
SOUND SOURCE SEPARATION IN MONAURAL MUSIC SIGNALS [PDF]
Tuomas Virtanen, Tampere University of Technology, Tampere (2006)
SOUND SOURCE SEPARATION IN MONAURAL MUSIC SIGNALS USING EXCITATION-FILTER MODEL AND EM ALGORITHM [PDF]
Anssi Klapuri, Tuomas Virtanen, Toni Heittola (2010)
SOUND SOURCE SEPARATION USING 3D CORRELOGRAM, FUZZY LOGIC, AND NEURAL NETWORKS [PDF]
Eduardo Dias Trama, University of Miami (2002)
SOUND SOURCE SEPARATION USING 3D CORRELOGRAM, FUZZY LOGIC, AND NEURAL NETWORKS (slides)
Eduardo Dias Trama, University of Miami (2002)
SOUND SOURCE SEPARATION USING NEURAL NETWORK [permalink]
Shreya Sose, Swapnil Mali, S.P. Mahajan, College of Engineering, Pune, SPPU University, India (2019)
SOUND SOURCE SEPARATION USING SPARSE CODING WITH TEMPORAL CONTINUITY OBJECTIVE [PDF]
Tuomas Virtanen, Tampere University of Technology, Institute of Signal Processing (2003)
SOUND SOURCE SEPARATION USING SPECTROGRAM ANALYSIS BY NEURAL NETWORKS [permalink]
Tomoki Doura and Toshihiko Shiraishi, Yokohama National University, Hodogaya-ku, Japan (2017)
SOUND SOURCE SEPARATION VIA COMPUTATIONAL AUDITORY SCENE ANALYSIS-ENHANCED BEAMFORMING [permalink]
Laura Drake, Aggelos K. Katsaggelos, Janet C. Rutledge, Jun Zhang, Northwestern University, Electrical and Computer Engineering Department, Evanston, Illinois (2002)
SOURCE EXTRACTION IN AUDIO VIA BACKGROUND LEARNING [PDF]
Yang Wang, Zhenfang Zhou, Department of Mathematics, Michigan State University, East Lanisng, Michigan (2013)
SOURCE-FILTER BASED CLUSTERING FOR MONAURAL BLIND SOURCE SEPARATION [PDF]
Martin Spiertz, Volker Gnann, Institut für Nachrichtentechnik, RWTH Aachen University, Aachen, Germany (2009)
SOURCE-FILTER BASED CLUSTERING FOR MONAURAL BLIND SOURCE SEPARATION (code, sound examples)
Martin Spiertz, Institut für Nachrichtentechnik, RWTH Aachen University, Aachen, Germany (2009)
SOURCE-FILTER MODEL BASED SINGLE CHANNEL SPEECH SEPARATION [PDF]
Michael Stark, Signal Processing and Speech Communication Laboratory, Faculty of Electrical and Information Engineering, Graz University of Technology, Austria (2010)
SOURCE/FILTER MODEL FOR UNSUPERVISED MAIN MELODY EXTRACTION FROM POLYPHONIC AUDIO SIGNALS [permalink]
Jean-Louis Durrieu, Gaël Richard, Bertrand David, Cédric Févotte, IEEE TRANSACTIONS ON AUDIO, SPEECH, AND LANGUAGE PROCESSING, VOL. 18, NO. 3 (2010)
SOURCE SEPARATION AND ANALYSIS OF PIANO MUSIC SIGNALS USING INSTRUMENT-SPECIFIC SINUSOIDAL MODEL [PDF]
Wai Man Szeto, Office of University General Education, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong, Kin Hong Wong, Department of Computer Science and Engineering, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong (2013)
SOURCE SEPARATION AND ANALYSIS OF PIANO MUSIC SIGNALS USING INSTRUMENT-SPECIFIC SINUSOIDAL MODEL (slides) [PPT direct download]
Wai Man Szeto, Office of University General Education, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong, Kin Hong Wong, Department of Computer Science and Engineering, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong (2013)
SOURCE SEPARATION AND DEPTHWISE SEPARABLE CONVOLUTIONS FOR COMPUTER AUDITION (STUDENT ABSTRACT) [PDF]
Gabriel Mersy, Jin Hong Kuan, Department of Computer Science and Engineering, University of Minnesota (2020)
SOURCE SEPARATION AND NOTE IDENTIFICATION IN POLYPHONIC MUSIC [PDF]
Chris Chafe and David Jaffe, Center for Computer Research in Music and Acoustics, Stanford University, Stanford, California (1986)
SOURCE SEPARATION AND RESTORATION OF DRUM SOUNDS IN MUSIC RECORDINGS [PDF]
Christian Dittmar, Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany (2018)
SOURCE SEPARATION AND SPARSITY (presentation) [PDF]
Rémi Gribonval, METISS team (audio signal processing, indexing, source separation), INRIA, Rennes, France (2009)
SOURCE SEPARATION BY HUMMING (demo)
Gautham J. Mysore (2009)
SOURCE SEPARATION BY SCORE SYNTHESIS [PDF]
Joachim Ganseman, Paul Scheunders, IBBT-Visielab, Department of Physics, University of Antwerp, Belgium, Gautham J. Mysore, Jonathan S. Abel, CCRMA, Department of Music, Stanford University, Stanford, California, USA (2010)
SOURCE SEPARATION BY SCORE SYNTHESIS IN SPANISH FOLK MUSIC (Proceedings of the 7th International Workshop on Folk Music Analysis, 14-16 June 2017, Málaga, Spain, pages 101-106) [PDF]
Sergio P. Paqué, Marcelo Caetano, José L. Santacruz, Lorenzo J. Tardón, Isabel Barbancho, ATIC Research Group, ETSI Telecomunicación, Universidad de Málaga, Andalucía Tech, Málaga, Spain (2017)
SOURCE SEPARATION FOR MUSICAL AUDIO (presentation)
Mediha Özbey (2015)
SOURCE SEPARATION: FROM DUSK TILL DAWN [PDF]
Christian Jutten, Anisse Taleb, Proceedings (2000)
SOURCE SEPARATION FROM MONAURAL AUDIO (presentation)
J.-S. Roger Jang, MIR Lab, CSIE Dept., National Taiwan University (2017)
SOURCE SEPARATION FROM SINGLE-CHANNEL RECORDINGS BY COMBINING EMPIRICAL-MODE DECOMPOSITION AND INDEPENDENT COMPONENT ANALYSIS [permalink]
Bogdan Mijovic, Maarten De Vos, Ivan Gligorijevic, Joachim Taelman, SISTA-COSIC-DOCARCH Division, Katholieke Universiteit Leuven, Leuven, Belgium (2010)
SOURCE SEPARATION IN SOUND SIGNALS USING FAST INDEPENDENT COMPONENT ANALYSIS AND TEMPORAL PREDICTABILITY BASED BLIND SOURCE SEPARATION [PDF]
P. Aswathappa*, Dr. Mata Ambar **, *Research Scholar, Department of Electronics & Instrumentation, University of Allahabad, India, ** Professor, Department of Electronics & Instrumentation, University of Allahabad, India (2014)
SOURCE SEPARATION METHODS FOR ORCHESTRAL MUSIC: TIMBRE-INFORMED AND SCORE-INFORMED STRATEGIES [PDF direct download]
Marius Miron, Universitat Pompeu Fabra, Barcelona, Spain (2017)
Marius Miron, Universitat Pompeu Fabra, Barcelona, Spain (2018)
Marius Miron, Universitat Pompeu Fabra, Barcelona, Spain (2018)
SOURCE SEPARATION METHODS FOR UNDER-DETERMINED SOUND MIXTURES [PDF]
Mathieu Lagrange, Analyse / Synthèse Team, IRCAM (2011)
SOURCE SEPARATION OF A MIXED AUDIO SIGNAL [PDF]
Vinay Maddali, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA (2013)
SOURCE SEPARATION OF MUSICAL INSTRUMENT SOUNDS IN POLYPHONIC MUSICAL AUDIO SIGNAL AND ITS APPLICATION [PDF]
Katsutoshi Itoyama, Okuno & Ogata Laboratory, Graduate School of Informatics, Kyoto University (2011)
SOURCE SEPARATION OF POLYPHONIC MUSIC WITH INTERACTIVE USER-FEEDBACK ON A PIANO ROLL DISPLAY [PDF]
Nicholas J. Bryan, CCRMA, Stanford University, Gautham J. Mysore, Adobe Research, Ge Wang, CCRMA, Stanford University (2013)
SOURCE SEPARATION TUTORIAL MINI-SERIES II: INTRODUCTION TO NON-NEGATIVE MATRIX FACTORIZATION (slides) [PDF]
Nicholas Bryan, Dennis Sun, Center for Computer Research in Music and Acoustics, Stanford University (2013)
SOURCE SEPARATION TUTORIAL MINI-SERIES III: EXTENSIONS AND INTERPRETATIONS TO NON-NEGATIVE MATRIX FACTORIZATION (slides) [PDF]
Nicholas Bryan, Dennis Sun, Center for Computer Research in Music and Acoustics, Stanford University (2013)
SOURCE SEPARATION USING DICTIONARY LEARNING AND DEEP RECURRENT NEURAL NETWORK WITH LOCALITY PRESERVING CONSTRAINT [permalink]
Tuan Pham, Yuan-Shan Lee, Seksan Mathulaprangsan, Jia-Ching Wang, Dept. of Computer Science and Information Engineering, National Central University, Taiwan (2017)
SOURCE SEPARATION USING NON-NEGATIVE MATRIX FACTORIZATION (video presentation)
Sathwik Chadaga , IIT Madras, Chennai, India (2018)
SOURCE SEPARATION USING REGULARIZED NMF WITH MMSE ESTIMATES UNDER GMM PRIORS WITH ONLINE LEARNING FOR THE UNCERTAINTIES [permalink]
Emad M. Grais and Hakan Erdogan, Faculty of Engineering and Natural Sciences, Sabanci University, Orhanli Tuzla, Istanbul, Turkey (2014)
SOURCE SEPARATION WITH DEEP GENERATIVE PRIORS [PDF]
Vivek Jayaram, John Thickstun, Paul G. Allen School of Computer Science and Engineering, University of Washington (2020)
SOURCE SEPARATION WITH ONE EAR: PROPOSITION FOR AN ANTHROPOMORPHIC APPROACH [PDF]
Jean Rouat, Département de Génie Électrique et de Génie Informatique, Université Sherbrooke, Sherbrooke, QC, Canada, Équipe de Recherche en Micro-électronique et Traitement Informatique des Signaux (ETMETIS), Département de Sciences Appliqués, Université du Québec à Chicoutimi, Chicoutimi, Québec, Canada, Ramin Pichevar, Département de Génie Électrique et de Génie Informatique, Université Sherbrooke, Sherbrooke, QC, Canada, Équipe de Recherche en Micro-électronique et Traitement Informatique des Signaux (ETMETIS), Département de Sciences Appliqués, Université du Québec à Chicoutimi, Chicoutimi, Québec, Canada (2005)
SOURCE SEPARATION WITH SCATTERING NON-NEGATIVE MATRIX FACTORIZATION [PDF]
Joan Bruna, Pablo Sprechmann, Yann LeCun, New York University, Courant Institute of Mathematical Sciences (2015)
SOURCE SEPARATION WITH SCATTERING NON-NEGATIVE MATRIX FACTORIZATION (experimental results)
Joan Bruna, Pablo Sprechmann, Yann LeCun, New York University, Courant Institute of Mathematical Sciences (2015)
SOURCE SEPARATION WITH WEAKLY LABELLED DATA: AN APPROACH TO COMPUTATIONAL AUDITORY SCENE ANALYSIS [PDF]
Qiuqiang Kong1, Yuxuan Wang1, Xuchen Song1, Yin Cao2, Wenwu Wang2, Mark D. Plumbley2, 1 ByteDance AI Lab, 2 Centre for Vision, Speech and Signal Processing (CVSSP), University of Surrey, UK (2020)
SOURCES SEPARATION OF MONO SIGNAL BASED ON CONVOLUTIVE NMF [permalink]
Giovanni Costantini, Massimiliano Todisco, Giovanni Saggio, Department of Electronic Engineering, University of Rome “Tor Vergata”, Italy (2015)
SPARSE AND STRUCTURED DECOMPOSITION OF AUDIO SIGNALS ON HYBRID DICTIONARIES USING MUSICAL PRIORS [PDF]
Hélène Papadopoulos and Matthieu Kowalski, Laboratoire des Signaux et Systèmes, CNRS-SUPELEC-Univ Paris-Sud, Gif-sur-Yvette Cedex, France <hal- 00823059v2> (2013)
SPARSE GAUSSIAN PROCESS AUDIO SOURCE SEPARATION USING SPECTRUM PRIORS IN THE TIME-DOMAIN [PDF]
Pablo A. Alvarado⋆, Mauricio A. Álvarez†, Dan Stowell⋆, ⋆Centre for Digital Music, Queen Mary University of London, London, UK, †Department of Computer Science, The University of Sheffield, Sheffield, UK (2018)
SPARSE MUSIC REPRESENTATION WITH SOURCE-SPECIFIC DICTIONARIES AND ITS APPLICATION TO SIGNAL SEPARATION [permalink]
Namgook Cho and C.-C. Jay Kuo, Ming Hsieh Department of Electrical Engineering and Signal and Image Processing Institute, University of Southern California, Los Angeles, CA, USA (2010)
SPARSE NMF – HALF-BAKED OR WELL DONE? [PDF]
Jonathan Le Roux, Mitsubishi Electric Research Labs (MERL) Cambridge, Massachusetts, USA, Felix Weninger, TUM, Munich, Germany, John R. Hershey, Mitsubishi Electric Research Labs (MERL) Cambridge, Massachusetts, USA (2015)
SPARSE PURSUIT AND DICTIONARY LEARNING FOR BLIND SOURCE SEPARATION IN POLYPHONIC MUSIC RECORDINGS [PDF]
Sören Schulze, Computational Data Analysis, Faculty 3, University of Bremen, Bremen, Germany, Emily J. King, Mathematics Department, Colorado State University, Fort Collins, Colorado, USA (2019)
SPARSE REPRESENTATIONS: FROM SOURCE SEPARATION TO COMPRESSED SENSING (slides) [PDF]
Rémi Gribonval, METISS project-team, IRISA/INRIA (2007)
SPARSE REPRESENTATIONS IN AUDIO AND MUSIC: FROM CODING TO SOURCE SEPARATION [permalink]
Mark D. Plumbley, Queen Mary University of London, School of Electronic Engineering and Computer Science, London, UK, Thomas Blumensath, chool of Mathematics, University of Southampton, Southampton, UK, Laurent Daudet, Lutheries Acoustique Musique, Institut Jean Le Rond d’Alembert, Université Pierre et Marie Curie, Paris, France, Rémi Gribonval, INRIA, Centre Inria Rennes—Bretagne Atlantique, Campus de Beaulieu, Rennes, France,
Mike E. Davies, Institute for Digital Communications (IDCOM) & Joint Research, Institute for Signal and Image Processing, School of Engineering and Electronics, University of Edinburgh, Edinburgh, Scotland, UK (2010)
SPARSE SINUSOIDAL REPRESENTATION FOR MONAURAL SOUND SEPARATION [permalink]
Pejman Mowlaee Begzade Mahale and Abolghasem Sayadiyan, Department of Electrical Engineering, Amirkabir University, M Rahmati, Associate Professor at Computer Engineering Department (2008-2009)
SPARSE SOURCES ARE SEPARATED SOURCES [PDF]
Scott Rickard, Sparse Signal Processing Group, University College Dublin, Dublin, Ireland (2006)
SPARSIFICATION FOR MONAURAL SOURCE SEPARATION [permalink]
Hiroki Asari, Watson School of Biological Sciences, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, USA, Rasmus K. Olsson, Informatics and Mathematical Modeling, Technical University of Denmark, Denmark, Barak A. Perlmutter, Hamilton Institute, NUI Maynooth, Ireland, Anthony M. Zador, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, USA (2007)
“SPARSIFICATION” OF AUDIO SIGNALS USING THE MDCT/INTMDCT AND A PSYCHOACOUSTIC MODEL – APPLICATION TO INFORMED AUDIO SOURCE SEPARATION [permalink]
Jonathan Pinel1, Laurent Girin1, 1Grenoble Laboratory of Images, Speech, Signal and Automation (GIPSA-lab) CNRS UMR 5216 , Grenoble Institute of Technology, Grenoble, France (2011)
SPATIAL DISPERSION CONSTRAINED NMF FOR MONAURAL SOURCE SEPARATION [permalink]
Viet-Hang Duong, Yuan-Shan Lee, Bach-Tung Pham, Seksan Mathulaprangsan, Jia-Ching Wang, Department of Computer Science and Information Engineering, National Central University, Jhongli, Taiwan, Pham-The Bao, Faculty of Mathematics & Computer Sciences, University of Science, Ho Chi Minh City, Viet Nam (2016)
SPEAKER INDEPENDENT SINGLE CHANNEL SOURCE SEPARATION USING SINUSOIDAL FEATURES [PDF]
Shivesh Ranjan†, Karen L. Payton†, Pejman Mowlaee‡, † Electrical & Computer Engineering Dept., University of Massachusetts Dartmouth, North Dartmouth, Massachusetts, USA, ‡ Institute of Communication Acoustics (IKA), Ruhr-Universität Bochum, Germany (2012)
SPEC2SPEC: TOWARDS THE GENERAL FRAMEWORK OF MUSIC PROCESSING USING GENERATIVE ADVERSARIAL NETWORKS [PDF]
Hyeong-Seok Choi, Juheon Leey and Kyogu Leez, Music and Audio Research Group, Seoul National University, Seoul, Republic of Korea (2020)
SPECTRAL ANALYSIS, EDITING, AND RESYNTHESIS: METHODS AND APPLICATION [PDF]
Michael Kateley Klingbeil, Columbia University (2009)
SPECTRAL COMPLETION OF PARTIALLY MASKED SOUNDS [PDF]
Josh H. McDermott and Andrew J. Oxenham, Department of Psychology, University of Minnesota, Minneapolis, Minnesota, USA (2008)
SPECTRAL MODELING SYNTHESIS: PAST AND PRESENT (slides) [PDF]
Xavier Serra, MTG-IUA, Universitat Pompeu Fabra, Barcelona, Spain (2003)
SPECTRAL SIMILARITY METRICS FOR SOUND SOURCE FORMATION BASED ON THE COMMON VARIATION CUE [PDF]
Mathieu Lagrange, Telecom ParisTech, Paris, France, Martin Raspaud, Linköping University, Norrköping, Sweden (2009)
SPECTROGRAM-CHANNELS U-NET: A SOURCE SEPARATION MODEL VIEWING EACH CHANNEL AS THE SPECTROGRAM OF EACH SOURCE [PDF]
Jaehoon Oh, Duyeon Kim, Se-Young Yun, Graduate School of Knowledge Service Engineering, KAIST, Daedeok Innopolis, Daejeon, South Korea (2018)
SPECTROGRAM FACTORIZATION USING PHASE INFORMATION [PDF]
R. Mitchell Parry, Irfan Essa, GVU Center / College of Computing, Georgia Institute of Technology, Atlanta, Georgia (2006)
SPECTROGRAM FACTORIZATION USING PHASE INFORMATION (poster) [PDF]
R. Mitchell Parry, Irfan Essa, GVU Center / College of Computing, Georgia Institute of Technology, Atlanta, Georgia (2006)
SPECTROGRAM FEATURE LOSSES FOR MUSIC SOURCE SEPARATION [PDF]
Abhimanyu Sahai, ETH Zürich, Romann Weber, Disney Research Zürich, Brian McWilliams, Disney Research Zürich (2019)
SPECTRO-TEMPORAL MODELING OF HARMONIC MAGNITUDE TRACKS FOR MUSIC SOURCE SEPARATION [permalink]
Gunawan, D. ; Sch. of Electr. Eng. & Telecommun., Univ. of New South Wales, Sydney, NSW, Australia ; Sen, D. (2009)
SPECTRO-TEMPORAL MODULATION BASED SINGING DETECTION COMBINED WITH PITCH-BASED GROUPING FOR SINGING VOICE SEPARATION [PDF]
Tse-En Lin¹, Chung-Chien Hsu¹, Yi-Cheng Chen², Jian-Hueng Chen² and Tai-Shih Chi¹, ¹Department of Electrical and Computer Engineering, National Chiao Tung University, Taiwan, ²Telecommunication Laboratories, Chunghwa Telecom Co., Ltd., Taiwan (2013)
SPECTRO-TEMPORAL POST-ENHANCEMENT USING MMSE ESTIMATION IN NMF BASED SINGLE-CHANNEL SOURCE SEPARATION [PDF]
Emad M. Grais and Hakan Erdogan, Faculty of Engineering and Natural Sciences, Sabanci University, Orhanli Tuzla, Istanbul, Turkey (2013)
SPECTRO-TEMPORAL POST-SMOOTHING IN NMF BASED SINGLE-CHANNEL SOURCE SEPARATION [PDF]
Emad M. Grais and Hakan Erdogan, Faculty of Engineering and Natural Sciences, Sabanci University, Orhanli Tuzla, Istanbul, Turkey (2012)
SPEECH AND MUSIC CLASSIFICATION AND SEPARATION: A REVIEW [PDF]
Abdullah I. Al-Shoshan, Department of Computer Science, College of Computer, Qassim University, Saudi Arabia (2006)
SPEECH-GUIDED SOURCE SEPARATION USING A PITCH-ADAPTIVE GUIDE SIGNAL MODEL [permalink]
Romain Hennequin, Juan-José Burred, Simon Maller, Pierre Leveau, Audionamix, Paris, France (2014)
SPEECH-GUIDED SOURCE SEPARATION USING A PITCH-ADAPTIVE GUIDE SIGNAL MODEL (poster) [PDF]
Romain Hennequin, Juan-José Burred, Simon Maller, Pierre Leveau, Audionamix, Paris, France (2014)
SPEECH SEPARATION OF A TARGET SPEAKER BASED ON DEEP NEURAL NETWORKS [permalink]
Du Jun1, Tu Yanhui1, Xu Yong1, Dai Lirong1, Lee Chin-Hui2, 1University of Science and Technology of China, P.R. China, 2Georgia Institute of Technology (2014)
SPLEETER: A FAST AND STATE-OF-THE ART MUSIC SOURCE SEPARATION TOOL WITH PRE-TRAINED MODELS (extended abstract) [PDF]
Romain Hennequin, Anis Khlif, Felix Voituret, Manuel Moussallam, Deezer R&D, Paris, France (2019)
SPLEETER BY DEEZER: THE JOURNEY TO OPEN-SOURCING THE CODE AND MODELS (slides) [PDF]
Anis Khlif, Félix Voituret, Deezer Research, FOSDEM 2020 (2020)
SPLEETER BY DEEZER: THE JOURNEY TO OPEN-SOURCING THE CODE AND MODELS (mp4 video)
Anis Khlif, Félix Voituret, Deezer Research, FOSDEM 2020 (2020)
SQUARED EUCLIDEAN DISTANCE BASED CONVOLUTIVE NON-NEGATIVE MATRIX FACTORIZATION WITH MULTIPLICATIVE LEARNING RULES FOR AUDIO PATTERN SEPARATION [permalink]
Wenwu Wang, Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford, United Kingdom (2007)
SQUAWK: A GRAPHICAL SOFTWARE FOR SPECTRAL AUDIO PROCESSING [PDF]
Ryoho Kobayashi, Graduate School of Media and Governance, Keio University, Tokyo, Japan (2006)
STATIC AND DYNAMIC SOURCE SEPARATION USING NONNEGATIVE FACTORIZATIONS: A UNIFIED VIEW [permalink]
Paris Smaragdis, Cédric Févotte, Gautham J. Mysore, Nasser Mohammadiha, and Matthew Hoffman (2014)
STATIONARY/TRANSIENT AUDIO SEPARATION USING CONVOLUTIONAL AUTOENCODERS [PDF]
Gerard Roma, Owen Green, Pierre Alexandre Tremblay, CeReNeM, University of Huddersfield, Huddersfield, UK (2018)
STATISTICAL SINGLE CHANNEL SOURCE SEPARATION [permalink]
Abd Majid Darsono, School of Electrical and Electronic Engineering, Newcastle University, United Kingdom (2014)
STEREO UPMIXING WITH ISSE & AUDACITY (video)
multi flacs (2017)
STOPPING CRITERIA FOR NON-NEGATIVE MATRIX FACTORIZATION BASED SUPERVISED AND SEMI-SUPERVISED SOURCE SEPARATION [permalink]
François G. Germain, Student Member, IEEE, Center for Computer Research in Music and Acoustics, Stanford University, Stanford, California, and Gautham J. Mysore, Member, IEEE (2014)
STRIPE-TRANSFORMER: DEEP STRIPE FEATURE LEARNING FOR MUSIC SOURCE SEPARATION
Jiale Qian, Xinlu Liu, School of Computer Science and Technology, Fudan University, Shanghai, China, Yi Yu, Digital Content and Media Sciences Research Division, National Institute of Informatics, Tokyo, Japan, Wei Li, School of Computer Science and Technology, Fudan University, Shanghai, China, Shanghai Key Laboratory of Intelligent Information Processing, Fudan University, Shanghai, China (2023)
STRUCTURE-AWARE DICTIONARY LEARNING WITH HARMONIC ATOMS [permalink]
O'Hanlon, K. ; Centre for Digital Music, Queen Mary, Univ. of London, London, UK ; Plumbley, M.D. (2011)
STRUCTURE LEARNING AND SOURCE SEPARATION OF MUSIC AUDIO SIGNALS BASED ON BAYESIAN NONPARAMETRICS (slides, in Japanese) [PDF]
Kazuyoshi Yoshii, National Institute of Advanced Industrial Science and Technology (AIST), Japan (2013)
STRUCTURED DROPOUT FOR WEAK LABEL AND MULTI-INSTANCE LEARNING AND ITS APPLICATION TO SCORE-INFORMED SOURCE SEPARATION [PDF]
Sebastian Ewert, Mark B. Sandler, Queen Mary University of London, UK (2016)
STRUCTURED NON-NEGATIVE MATRIX FACTORIZATION WITH SPARSITY PATTERNS [PDF]
Hans Laurberg1, Mikkel N. Schmidt2, Mads Græsbøll Christensen1 and Søren Holdt Jensen1, 1 Department of of Electronic Systems, Aalborg University,
Niels Jernes Vej 12, DK-9220 Aalborg, Denmark, 2 Informatics and Mathematical Modelling, Technical University of Denmark, Richard Pedersens Plads, Lyngby, Denmark (2008)
STRUCTURED SPARSITY FOR AUDIO SIGNALS
Numerical Harmonic Analysis Group (NuHAG), Faculty of Mathematics, University of Vienna
STUDENT'S T NONNEGATIVE MATRIX FACTORIZATION AND POSITIVE SEMIDEFINITE TENSOR FACTORIZATION FOR SINGLE-CHANNEL AUDIO SOURCE SEPARATION [permalink]
Kazuyoshi Yoshii and Katsutoshi Itoyama, Graduate School of Informatics, Kyoto University, Japan, Masataka Goto, National Institute of Advanced Industrial Science and Technology (AIST), Japan (2016)
STUDY OF ALGORITHMS FOR SEPARATION OF SINGING VOICE FROM MUSIC [PDF]
Madhuri A. Patil1, Harshada P. Burute2, Kirtimalini B. Chaudhari3, Dr. Pradeep B. Mane4, Department of Electronics, AISSMS’s, College of Engineering, Pune, India1, Department of Electronics, AISSMS’s, Institute of Information Technology, Pune, India2, Department of Electronics, AISSMS’s, College of Engineering, Pune India3, Department of Electronics, AISSMS’s, Institute of Information Technology, Pune, India4 (2015)
STUDY OF REGULARIZATIONS AND CONSTRAINTS IN NMF-BASED DRUMS MONAURAL SEPARATION [PDF]
Ricard Marxer, Jordi Janer, Music Technology Group, Universitat Pompeu Fabra, Barcelona, Spain (2013)
SUBBAND-BASED SINGLE-CHANNEL SOURCE SEPARATION OF INSTANTANEOUS AUDIO MIXTURES [PDF]
Jalil Taghia and Mohammad Ali Doostari, Department of Electrical Engineering, School of Technical and Engineering, Shahed University, Tehran, Iran (2009)
SUBJECTIVE EVALUATION OF A LOW-LATENCY SUPERVISED NON-NEGATIVE MATRIX FACTORIZATION ALGORITHM (poster) [PDF direct download]
Marianna Vatti1, Lars Bramsløw1, Niels Henrik Pontoppidan1, Rikke Rossing1, Tom Barker2, Tuomas Virtanen2, 1Eriksholm Research Centre Rørtangvej 20 DK-3070 Snekkersten, 2Tampere University of Technology Department of Signal Processing (2016)
SUPERVISED AND SEMI-SUPERVISED SEPARATION OF SOUNDS FROM SINGLE-CHANNEL MIXTURES [PDF]
Paris Smaragdis1, Bhiksha Raj1, and Madhusudana Shashanka2, 1 Mitsubishi Electric Research Laboratories, Cambridge, Massachusetts, USA, 2 Department of Cognitive and Neural Systems, Boston University, Boston Massachusetts, USA (2007)
Felix Weninger, Jordi Feliu, Björn Schuller, Institute for Human-Machine Communication, Technische Universität München, Germany (2012)
SUPERVISED MODEL TRAINING FOR OVERLAPPING SOUND EVENTS BASED ON UNSUPERVISED SOURCE SEPARATION [PDF]
Toni Heittola⋆, Annamaria Mesaros†, Tuomas Virtanen⋆, Moncef Gabbouj⋆, ⋆ Department of Signal Processing, Tampere University of Technology, †Department of Information and Computer Science, Aalto University (2013)
SUPERVISED MONAURAL SOURCE SEPARATION BASED ON AUTOENCODERS [permalink]
Keiichi Osaka and Yuki Mitsufuji, Sony Corporation, Minato-ku, Tokyo, Japan, Rita Singh and Bhiksha Raj, Carnegie Mellon University, Pittsburgh, PA, USA (2017)
SUPERVISED MUSICAL SOURCE SEPARATION FROM MONO AND STEREO MIXTURES BASED ON SINUSOIDAL MODELING (slides) [PDF]
Juan José Burred, Équipe Analyse/Synthèse, IRCAM (2008)
SUPERVISED NON-NEGATIVE MATRIX FACTORIZATION FOR AUDIO SOURCE SEPARATION [PDF]
Pablo Sprechmann1, Alex M. Bronstein2, and Guillermo Sapiro3, 1 New York University, 2 Tel Aviv University & Duke University, 3 Duke University
SURVEY OF SPARSE AND NON-SPARSE METHODS IN SOURCE SEPARATION [permalink]
Paul D. O’Grady, Barak A. Pearlmutter, Scott T. Rickard (2005)
SURVEY ON SEPARATION METHODS OF MUSIC AND SPEECH [PDF]
Desai Siddhi1, Desai Bhavik2, 1,2Assistant Professor, Laxmi Institute of Technology, Sarigam, Gujarat, India (2015)
SURVEY ON “SINGING VOICE SEPARATION AND SINGING VOICE CLASSIFIER TECHNIQUE FOR VOICE SEPARATION FROM MUSIC ACCOMPANIMENTS” [PDF]
Nichal Vikas R., Mane Vikram A, Department of E&TC, Annasaheb Dange COE, Ashta, Maharashtra, India (2016)
SVSGAN: Singing Voice Separation via GAN (demo)
Zhe-Cheng Fan, Department of Computer Science and Information Engineering, National Taiwan University, Taiwan (2017)
SVSGAN: SINGING VOICE SEPARATION VIA GENERATIVE ADVERSARIAL NETWORK [PDF]
Zhe-Cheng Fan, Yen-Lin Lai, Jyh-Shing R. Jang, Department of Computer Science and Information Engineering, National Taiwan University, Taiwan (2017)
SYNERGIES BETWEEN MUSICAL SOURCE SEPARATION AND INSTRUMENT RECOGNITION [PDF]
Juan José Bosch Vicente, Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Spain (2011)
SYNTHESIZING THE NOTE-SPECIFIC ATOMS BASED ON THEIR FUNDAMENTAL FREQUENCY, USED FOR SINGLE-CHANNEL MUSICAL SOURCE SEPARATION [permalink]
Mohammadali Azamian1, Ehsanollah Kabir2, 1 Islamic Azad University, Khomeinishahr Branch, Khomeinishahr, Esfahan, Iran, 2 Department of Electrical and Computer Engineering, Tarbiat Modares University, Tehran, Iran (2019)