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RESEARCH [A - AC]
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!
A BAYESIAN APPROACH TO SOURCE SEPARATION [PDF]
Kevin H. Knuth, Department of Neuroscience, Albert Einstein College of Medicine, Bronx, New York, USA (1999)
A BIO-INSPIRED SOUND SOURCE SEPARATION TECHNIQUE IN COMBINATION WITH AN ENHANCED FIR GAMMATONE ANALYSIS/SYNTHESIS FILTERBANK [PDF]
Ramin Pichevar, Jean Rouat, Dept. of Elect. and Computer Eng., University of Sherbrooke, Sherbrooke, QC, Canada, Christian Feldbauer, Gernot Kubin, Signal Processing and Speech Comm. Lab., Graz University of Technology, Graz, Austria (2004)
A BLIND SEPARATION OF MONAURAL SOUND BASED ON PEAK TRACKING OF FREQUENCY SPECTRA [permalink]
Shoko Yamahata, Mitsuharu Matsumoto, Shuji Hashimoto, Waseda University, Tokyo, Japan (2009)
A CAPPELLA: AUDIO-VISUAL SINGING VOICE SEPARATION (website)
Juan F. Montesinos, Venkatesh S. Kadandale, Gloria Haro, Universitat Pompeu Fabra (2021)
A CAPPELLA: AUDIO-VISUAL SINGING VOICE SEPARATION [PDF]
Juan F. Montesinos, Venkatesh S. Kadandale, Gloria Haro, Universitat Pompeu Fabra (2021)
A CAPPELLA: AUDIO-VISUAL SINGING VOICE SEPARATION (demos)
Juan F. Montesinos, Venkatesh S. Kadandale, Gloria Haro, Universitat Pompeu Fabra (2021)
A CLASSIFICATION APPROACH TO SINGLE CHANNEL SOURCE SEPARATION - CS 6772 PROJECT (presentation) [PDF]
Ron Weiss, Columbia University, New York, New York
A CLASSIFIER-BASED APPROACH TO SCORE-GUIDED MUSIC AUDIO SOURCE SEPARATION [PDF]
Christopher Raphael, Indiana University School of Informatics (2007)
A COMPARATIVE STUDY OF EXAMPLE-GUIDED AUDIO SOURCE SEPARATION APPROACHES BASED ON NONNEGATIVE MATRIX FACTORIZATION [PDF]
Alexey Ozerov, Srd ̄an Kitić, and Patrick Pérez, Technicolor, Cesson-Sévigné, France (2017)
A COMPARISON OF EXTENDED SOURCE-FILTER MODELS FOR MUSICAL SIGNAL RECONSTRUCTION [PDF]
Tian Cheng, Simon Dixon, Matthias Mauch, Centre for Digital Music, Queen Mary University of London, London, United Kingdom (2014)
A COMPARISON OF SOUND SEGREGATION TECHNIQUES FOR PREDOMINANT INSTRUMENT RECOGNITION IN MUSICAL AUDIO SIGNALS [PDF]
Juan J. Bosch, Jordi Janer, Ferdinand Fuhrmann, Perfecto Herrera, Universitat Pompeu Fabra, Music Technology Group, Barcelona (2012)
Sacha Krstulović, Rémi Gribonval, IRISA, France, Pierre Leveau, Laurent Daudet, Laboratoire d’Acoustique Musicale, Paris, France (2005)
A COMPLEX MATRIX FACTORIZATION APPROACH TO JOINT MODELING OF MAGNITUDE AND PHASE FOR SOURCE SEPARATION [PDF]
Chaitanya Ahuja, Karan Nathwani and Rajesh M. Hegde, Indian Institute of Technology, Kanpur (2014)
A COMPONENT ANALYSIS OF NEURAL NETWORK ARCHITECTURES FOR SPECTRAL BASED AUDIO SOURCE SEPARATION [PDF]
Bas van der Linden, Radboud University, Nijmegen, Netherlands (2022)
A COMPUTATIONAL FRAMEWORK FOR SOUND SEGREGATION IN MUSIC SIGNALS [PDF]
Luís Gustavo Pereira Marques Martins, Universidade Do Porto, Departamento de Engenharia Electrotécnica e de Computadores (2008)
A COMPUTATIONALLY EFFICIENT SCHEME FOR DOMINANT HARMONIC SOURCE SEPARATION [permalink]
Mathieu Lagrange, Music Technology Group, McGill University, Canada, Luis Gustavo Martins, Telecom. and Multimedia Unit, INESC Porto / FEUP, Portugal, George Tzanetakis, Dept. of Computer Science, University of Victoria, Canada (2008)
A CONTEXT ENCODER FOR AUDIO INPAINTING [PDF]
Andrés Marafioti1, Nathanaël Perraudin2, Nicki Holighaus1, and Piotr Majdak1, 1Acoustics Research Institute, Austrian Academy of Sciences, Vienna, Austria, 2Swiss Data Science Center, ETH Zürich, Zürich, Switzerland (2018)
A CONVEX FORMULATION FOR INFORMED SOURCE SEPARATION IN THE SINGLE CHANNEL SETTING [permalink]
Augustin Lefèvre, François Glineur, P.-A. Absil (2014)
A DEEP-LEARNING BASED FRAMEWORK FOR SOURCE SEPARATION, ANALYSIS, AND SYNTHESIS OF CHORAL ENSEMBLES
Pritish Chandna1,2*, Helena Cuesta1, Darius Petermann3, Emilia Gómez1,4, 1Music Technology Group, Universitat Pompeu Fabra, Barcelona, Spain, 2Voicemod S.L., Valencia, Spain, 3Intelligent Systems Engineering Department, Indiana University, Bloomington, Bloomington, IN, United States,
4Joint Research Centre, European Commission, Seville, Spain (2022)
A DEEP NEURAL NETWORK BASED APPROACH FOR VOCAL EXTRACTION FROM SONGS [permalink]
Vasu Sharma, Dept. of Computer Science and Engineering, Indian Institute of Technology, Kanpur, India (2015)
A DIAGONAL PLUS LOW-RANK COVARIANCE MODEL FOR COMPUTATIONALLY EFFICIENT SOURCE SEPARATION [PDF]
Antoine Liutkus, Inria, Speech Processing Team, France, Kazuyoshi Yoshii, Kyoto University/RIKEN AIP, Japan (2017)
A DIFFUSION-INSPIRED TRAINING STRATEGY FOR SINGING VOICE EXTRACTION IN THE WAVEFORM DOMAIN [PDF]
Genís Plaja-Roglans, Marius Miron, Xavier Serra, Music Technology Group, Universitat Pompeu Fabra, Barcelona, Spain (2022)
A DTW-BASED SCORE FOLLOWING METHOD FOR SCORE-INFORMED SOUND SOURCE SEPARATION [PDF]
F.J. Rodriguez-Serrano, F.J. Canadas-Quesada, Universidad de Jaen, J. Menndez-Canal, R. Cortina, Universidad de Oviedo, A. Vidal, Universidad Politecnica de Valencia (2015)
A FACTORIAL SPARSE CODER MODEL FOR SINGLE CHANNEL SOURCE SEPARATION [PDF]
Robert Peharz 1, Michael Stark 1, Franz Pernkopf 1, Yannis Stylianou 2, 1Signal Processing and Speech Communication Lab, Graz University of Technology 2Computer Science Department, University of Crete (2010)
A FULLY DIFFERENTIABLE MODEL FOR UNSUPERVISED SINGING VOICE SEPARATION [PDF]
Gaël Richard, Pierre Chouteau, Bernardo Torres, LTCI, Télécom Paris, Institut polytechnique de Paris, France (2024)
A FRUGAL APPROACH TO MUSIC SOURCE SEPARATION [PDF]
Emery Pierson Lancaster, IMT Lille Douai, Univ. Lille, CNRS, UMR 9189 CRIStAL, Lille, France, Nathan Souviraá-Labastie, A-Volute, Lille, France (2020)
A GENERAL FRAMEWORK FOR ONLINE AUDIO SOURCE SEPARATION [PDF]
Laurent S. R. Simon and Emmanuel Vincent, INRIA, Centre de Rennes - Bretagne Atlantique Campus de Beaulieu, 35042 Rennes Cedex, France (2011)
A GENERAL MODULAR FRAMEWORK FOR AUDIO SOURCE SEPARATION [permalink]
Alexey Ozerov 1, Emmanuel Vincent 1, and Frédéric Bimbot 2, 1 INRIA, Rennes Bretagne, Atlantique, 2 IRISA, CNRS - UMR 6074, Campus de Beaulieu, 35042 Rennes cedex, France (2011)
A GENERALIZED BANDSPLIT NEURAL NETWORK FOR CINEMATIC AUDIO SOURCE SEPARATION [PDF]
Karn N. Watcharasupat1*,2, Graduate Student Member, IEEE, Chih-Wei Wu1, Member, IEEE, Yiwei Ding2, Iroro Orife1, Member, IEEE, Aaron J. Hipple1, Member, IEEE, Phillip A. Williams1, Scott Kramer1, Alexander Lerch2, Senior Member, IEEE, and William Wolcott1, 1Netflix Inc., Los Gatos, CA, USA (* indicates work done during an internship), 2Music Informatics Group, Georgia Institute of Technology, Atlanta, GA, USA (2023)
A GRANULAR APPROACH FOR THE ANALYSIS OF MONOPHONIC AUDIO SIGNALS [PDF]
Lorcàn M. Donagh, Frédéric Bimbot, Rémi Gribonval, IRISA (CNRS & INRIA) / METISS, Campus Universitaire de Beaulieu, Rennes, France (2003)
A HIERARCHICAL BAYESIAN FRAMEWORK FOR SCORE-INFORMED SOURCE SEPARATION OF PIANO MUSIC SIGNALS [PDF]
Wai Man Szeto, Office of University General Education, The Chinese University of Hong Kong, Kin Hong Wong, Department of Computer Science and Engineering, The Chinese University of Hong Kong (2015)
A HIERARCHICAL BAYESIAN FRAMEWORK FOR SCORE-INFORMED SOURCE SEPARATION OF PIANO MUSIC SIGNALS (poster) [PDF]
Wai Man Szeto, Office of University General Education, The Chinese University of Hong Kong, Kin Hong Wong, Department of Computer Science and Engineering, The Chinese University of Hong Kong (2015)
A HIGHLY SCALABLE MUSIC SOURCE SEPARATION METHOD BASED ON CGAN [permalink]
Yijun Feng, Lei Hong, Wanning Zhu, Hongliang Ye, College of Software Engineering, Jinling Institute of Technology, Nanjing, China (2022)
A HYBRID APPROACH FOR PERIODIC PATTERN EXTRACTION IN AUDIO SIGNAL - MUSIC & VOICE SEPARATION [PDF]
Pooja Gautam1, Dr. Sandeep Kumar2, B S kaushik3, 1 Electronics & Telecommunication Department RCET, Bhilai (C.G.) India, 2 Associate Professor, ET&T Department RCET, Bhilai,(C.G.) India, 3 Manger, Electrical & Instrumentation, LafargeHolcim india, Bhilai (C.G.) India (2016)
A LOCAL DISCONTINUITY BASED APPROACH FOR MONAURAL SINGING VOICE SEPARATION FROM ACCOMPANYING MUSIC WITH MULTI-STAGE NON-NEGATIVE MATRIX FACTORIZATION [permalink]
Hatem Deif, Wenwu Wang, Lu Gan, Saadat Alhashmi, College of Engineering, Design and Physical Sciences, Brunel University London, Uxbridge, Middlesex, UK (2015)
[permalink]
Hideaki Kagami†, Hirokazu Kameoka‡, Masahiro Yukawa†, † Dept. Electronics and Electrical Engineering, Keio University, Japan, ‡ NTT Communication Science Laboratories, NTT Corporation, Japan (2017)
A MAXIMUM LIKELIHOOD APPROACH TO SINGLE-CHANNEL SOURCE SEPARATION [PDF]
Gil-Jin Jang, Spoken Language Laboratory, Division of Computer Science, KAIST, South Korea, Te-Won Lee, Institute for Neural Computation, University of California, San Diego, La Jolla, California (2003)
A MAXIMUM LIKELIHOOD APPROACH TO SINGLE-CHANNEL SOURCE SEPARATION (presentation) [PDF]
Gil-Jin Jang, Te-Won Lee, Presented by Tigran Dobin, Signal and Image processing Lab (SIPL), Department of Electrical Engineering, Technion, Israel Institute of Technology (2006)
A METHOD FOR SEPARATING DRUM OBJECTS FROM POLYPHONIC MUSICAL SIGNALS [permalink]
Wendong Huang, Ye Wang, School of Computing, National University of Singapore, Singapore (2005)
A METHOD TO SEPARATE MUSICAL PERCUSSIVE SOUNDS USING CHROMA SPECTRAL FLATNESS [PDF direct download]
F.J. Cañadas-Quesada, P. Vera-Candeas, N. Ruiz-Reyes, A. Muñoz-Montoro, F.J. Bris-Peñalver, Telecommunication Engineering Department, University of Jaen, Scientific and Technological Campus, Jaen, Spain (2016)
A METHODOLOGY FOR DETECTION OF MELODY IN POLYPHONIC MUSIC SIGNALS [permalink]
Rui Pedro Paiva, Teresa Mendes, Amílcar Cardoso, CISUC (Center for Informatics and Systems of the University of Coimbra (Polo II), Coimbra, Portugal (2004)
A MODIFIED METHOD FOR BLIND SOURCE SEPARATION [PDF]
Shih-Lin Lin, Pi-Cheng Tung, National Central University, Department of Mechanical Engineering, Taiwan (2006)
A MODIFIED SPECTROGRAM DIFFUSION ALGORITHM FOR IMPROVED HARMONIC/PERCUSSION SEPARATION IN MUSIC SIGNALS [permalink]
Balaji Thoshkahna, K. R. Ramakrishnan, Dept. of Electrical Engg., Indian Institute of Science, Bangalore, India (2012)
A MODIFIED WIENER FILTER SUITABLE FOR SEPARATION OF INDIVIDUAL INSTRUMENTAL SOUNDS IN MONAURAL MUSIC SIGNALS [permalink]
Fukayama, Y. ; Dept. of Electr. Syst. Eng., Hiroshima Inst. of Technol., Hiroshima, Japan (2014)
A MONO-TO-STEREO UPMIXING ALGORITHM BASED ON THE HARMONIC-PERCUSSIVE SEPARATION [PDF]
Keunwoo Choi, Electronics and Telecommunications Research Institute (ETRI), Daejeon, Republic of Korea (2013)
A MULTI-RESOLUTION APPROACH TO COMMON FATE-BASED AUDIO SEPARATION [PDF]
Fatemeh Pishdadian, Bryan Pardo, Northwestern University, USA, Antoine Liutkus, Inria, speech processing team, France (2017)
A MULTIRESOLUTION NON-NEGATIVE TENSOR FACTORIZATION APPROACH FOR SINGLE CHANNEL SOUND SOURCE SEPARATION [permalink]
S. Kırbız, B. Günsel, Istanbul Technical University, Department of Electronics and Communications Engineering, Istanbul, Turkey (2014)
A MUSICALLY MOTIVATED MID-LEVEL REPRESENTATION FOR PITCH ESTIMATION AND MUSICAL AUDIO SOURCE SEPARATION [permalink]
Jean-Louis Durrieu, Ecole Polytechnique Fédérale de Lausanne (EPFL), Signal Processing Laboratories (LTS5), Lausanne, Switzerland, Bertrand David, Member, IEEE, and Gaël Richard, Senior Member, IEEE, Institut Telecom, Telecom ParisTech, CNRS-LTC1, Paris, France (2011)
Jean-Louis Durrieu, Ecole Polytechnique Fédérale de Lausanne (EPFL), Signal Processing Laboratories (LTS5), Lausanne, Switzerland, Bertrand David, Member, IEEE, and Gaël Richard, Senior Member, IEEE, Institut Telecom, Telecom ParisTech, CNRS-LTC1, Paris, France (2011)
A MUSICAL SOURCE SEPARATION SYSTEM WITH LYRICS ALIGNMENT [PDF]
Ofer Hadar, Dmitry Bykhovsky, Guy Goldwasser, Etan Fisher, Department of Communications Systems Engineering, Ben-Gurion University of the Negev Beer-Sheva, Israel (2006)
A NEURAL ARCHITECTURE FOR BLIND SOURCE SEPARATION [PDF]
Ernesto Tapia and Raúl Rojas, Freie Universität Berlin, Institut für Informatik, Berlin, Germany (2006)
A NEURAL NETWORK ALTERNATIVE TO NON-NEGATIVE AUDIO MODELS [PDF]
Paris Smaragdis♯,♭, Shrikant Venkataramani♯∗, ♯University of Illinois at Urbana-Champaign, ♭Adobe Research (2016)
A NEURAL NETWORK ALTERNATIVE TO NON-NEGATIVE AUDIO MODELS (presentation) [PDF direct download]
Paris Smaragdis♯,♭, Shrikant Venkataramani♯∗, ♯University of Illinois at Urbana-Champaign, ♭Adobe Research (2017)
A NEURAL NETWORK FOR BLIND ACOUSTIC SIGNAL SEPARATION [PDF]
B. Freisleben1, C. Hagen2 and M. Borschbach1, Department of Electrical Engineering and Computer Science (FB12), University of Siegen Hölderlinstr. 3, Germany, 2Department of Computer Science (FB20), University of Darmstadt Julius-Reiber-Str. 17m Germany (1996)
A NEURAL NETWORK FOR SOUND SOURCE SEPARATION [PDF]
Jörn Anemüller and Tino Gramms, Graduate School in Psychoacoustics and Department of Physics, Carl von Ossietzky University, Oldenburg, Germany (1998)
Khushboo Gupta, Marktechpost (2023)
A NEW APPROACH TO MUSIC/VOICE SEPARATION USING RESONANCE-BASED SIGNAL DECOMPOSITION (poster) [PDF]
Roozbeh Soleymani, New York University, Polytechnic School of Engineering (2014)
A NEW CODEBOOK DESIGN SCHEMA FOR VQ-BASED MONAURAL SPEECH-MUSIC SEGREGATION [PDF]
Seyed-Hossein Alavinia, Farbod Razzazi, Department of Electrical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran (2010)
A NEW DSP TOOL FOR DRUM LEAKAGE SUPPRESSION [permalink]
Elias Kokkinis, Alexandros Tsilfidis, Thanos Kostis, Kostas Karamitas, accusonus, Greece (2013)
A NEW EM ALGORITHM FOR UNDERDETERMINED CONVOLUTIVE BLIND SOURCE SEPARATION [PDF]
Zaher El Chami1, Antoine Dinh-Tuan Pham2, Christine Servière3, Alexandre Guerin1, 1Orange Labs - TECH/SSTP, 22307 Lannion Cedex, France 2Laboratory of Modeling and Computation, Grenoble cedex 9, France 3GIPSA-lab, Department of Images and Signals, St Martin d’Hère Cedex, France (2009)
A NEW RECURSIVE SEMI-SUPERVISED NON-NEGATIVE MATRIX FACTORIZATION FOR SEPARATION OF HARMONIC AND PERCUSSIVE ELEMENTS IN DIGITAL SOUNDS [permalink]
Wellington Fonseca1, Zelia Peixoto,1 AES Associate Member, Flavia MAgalhaes1, and Regis Faria,2 AES Member, 1Pontifical Catholic University of Minas Gerais, Minas Gerais, Brazil , 2University of Sao Paulo, Sao Paulo, Brazil (2018)
A NEW SVM-BASED MIX AUDIO CLASSIFICATION [permalink]
Mahale, P.M.B. ; Amirkabir Univ. of Technol., Tehran ; Rashidi, M. ; Faez, K. ; Sayadiyan, A. (2008)
A NMF-BASED MONO-TO-STEREO BLIND UPMIX USING TONALITY [PDF]
Keunwoo Choi, Master's Thesis at Seoul National University (2011)
A NON-NEGATIVE FRAMEWORK FOR JOINT MODELING OF SPECTRAL STRUCTURE AND TEMPORAL DYNAMICS IN SOUND MIXTURES [PDF]
Gautham J. Mysore, Stanford University (2010)
A NOTE EVENT-BASED DECOMPOSITION OF POLYPHONIC RECORDINGS APPLIED TO SINGLE-CHANNEL AUDIO SOURCE SEPARATION [permalink]
Alejandro Delgado Castro, University of Costa Rica, San Pedro, Costa Rica, John E. Szymanski, University of York, Heslington, UK (2019)
A NOVEL APPROACH TO SEPARATION OF MUSICAL SIGNAL SOURCES BY NMF [permalink]
Sakurako Yazawa, Graduate School of Systems and Information Engineering, University of Tsukuba, Japan, Masatoshi Hamanaka, Department of Clinical System Onco-Informatics, Kyoto University, Japan, Takehito Utsuro, Faculty of Engineering, Information and Systems, University of Tsukuba, Japan (2014)
A NOVEL INTERACTIVE SOUND SOURCE SEPARATION MODEL USING NON-NEGATIVE MATRIX FACTORIZATION [permalink]
K. Sripal Reddy, C. Lokanath Reddy and Dr. Joseph Anthony Prathap (2018)
A NOVEL SINGING VOICE SEPARATION METHOD BASED ON A LEARNABLE DECOMPOSITION TECHNIQUE [permalink]
Samira Mavaddati, Electronic Department, Faculty of Technology and Engineering, University of Mazandaran, Babolsar, Iran (2020)
A NOVEL SINGING VOICE SEPARATION METHOD BASED ON SPARSE NON-NEGATIVE MATRIX FACTORIZATION AND LOW-RANK MODELING [PDF direct download]
Samira Mavaddati, Electronic Department, Faculty of Engineering and Technology, University of Mazandaran, Babolsar, Iran (2018)
A NOVEL SPEECH SEPARATION BASED ON ICA STRATEGICAL CLASSIFICATION [PDF]
Y.D.Chandramouli1, Dr.P.Sailaja2, Student, Dept of Electronics and Communication Engineering, Godavari Institute of Engineering and Technology, A.P, India1, Professor, Dept of Electronics and Communication Engineering, Godavari Institute of Engineering and Technology A.P, India 2 (2014)
A NOVEL U-NET WITH DENSE BLOCK FOR DRUM SIGNAL SEPARATION FROM POLYPHONIC MUSIC SIGNAL MIXTURE [permalink]
E. Vinitha George, Model Engineering College, Cochin University of Science and Technology, Kochi, Kerala, India, V. P. Devassia, St. Joseph’s College of Engineering and Technology, Palai, Kerala, India (2022)
A NUCLEAR-NORM BASED CONVEX FORMULATION FOR INFORMED SOURCE SEPARATION [PDF]
Augustin Lefèvre1, François Glineur1,2, P.-A. Absil1, 1- Université catholique de Louvain - ICTEAM Institute, Louvain-la-Neuve, Belgium, 2- Université catholique de Louvain - CORE (2013)
A PARTICLE FILTER FOR MODEL BASED AUDIO SOURCE SEPARATION [PDF]
C. Andrieu, S.J. Godsill, Signal Processing Lab., University of Cambridge, Department of Engineering, Cambridge, UK (2000)
A PERCEPTUALLY ENHANCED BLIND SINGLE-CHANNEL AUDIO SOURCE SEPARATION BY NON-NEGATIVE MATRIX FACTORIZATION [PDF]
S. Kırbız, B. Günsel, Multimedia Signal Processing and Pattern Recognition Lab., Istanbul Technical University, Dept. of Electronics and Communications Engineering, 34469 Maslak, Istanbul, Turkey (2010)
A PERCEPTUALLY MOTIVATED FILTER BANK WITH PERFECT RECONSTRUCTION FOR AUDIO SIGNAL PROCESSING [PDF]
Thibaud Necciari, Nicki Holighaus, Peter Balazs and Zdeněk Průša, Acoustics Research Institute, Austrian Academy of Sciences, Vienna, Austria (2016)
A PERCEPTUAL REPRESENTATION OF AUDIO [PDF]
Daniel Patrick Whittlesey Ellis, Massachusetts Institute of Technology (1992)
A PERFECTLY INVERTIBLE AND PERCEPTUALLY MOTIVATED TIME-FREQUENCY TRANSFORM FOR AUDIO REPRESENTATION, ANALYSIS AND SYNTHESIS (slides) [PDF]
Thibaud Necciari, joint work with Peter Balazs, Nicki Holighaus, and Peter L. Søndergaard, Acoustics Research Institute, Vienna, Austria (2012)
A POSTPROCESSING TECHNIQUE FOR IMPROVED HARMONIC / PERCUSSION SEPARATION FOR POLYPHONIC MUSIC [PDF]
Balaji Thoshkahna, K.R.Ramakrishnan, Dept. of Electrical Engineering, Indian Institute of Science, Bangalore, India, 12th International Society for Music Information Retrieval Conference (2011)
A PROBABILISTIC APPROACH TO SINGLE CHANNEL BLIND SIGNAL SEPARATION [PDF]
Gil-Jin Jang, Spoken Language Laboratory KAIST, Daejon, South Korea, Te-Won Lee, Institute for Neural Computation University of California, San Diego (2002)
A PROBABILISTIC LATENT VARIABLE MODEL FOR ACOUSTIC MODELING [PDF]
Paris Smaragdis, Bhiksha Raj, Mitsubishi electric Research Laboratories, Cambridge Massachusetts, USA, Madhusudana Shashanka, Dept. of Cognitive and Neural Systems, Boston University (2006)
A PROBABILISTIC SUBSPACE MODEL FOR MULTI-INSTRUMENT POLYPHONIC TRANSCRIPTION [PDF]
Graham Grindlay, Daniel P.W. Ellis, LabROSA, Dept. of Electrical Engineering, Columbia University (2010)
A PROBABILITY-BASED COMBINATION METHOD FOR UNSUPERVISED CLUSTERING WITH APPLICATION TO BLIND SOURCE SEPARATION [PDF]
Julian Becker, Martin Spiertz, and Volker Gnann, Institut für Nachrichtentechnik, RWTH Aachen University, Aachen, Germany (2012)
A REAL-TIME AUDIO-TO-AUDIO KARAOKE GENERATION SYSTEM FOR MONAURAL RECORDINGS BASED ON SINGING VOICE SUPPRESSION AND KEY CONVERSION TECHNIQUES [PDF]
Hideyuki Tachibana1,†1, Yu Mizuno1,†2 Nobutaka Ono2, Shigeki Sagayama3, 1 The University of Tokyo, 2 3 National Institute of Informatics, Chiyoda, Tokyo, Japan School of Interdisciplinary Mathematical Sciences, Meiji University, Nakano, Tokyo, Japan, †1 Presently with PKSHA Technology Inc., †2 Presently with Aichi Prefectural Government (2016)
A REAL-TIME EQUALIZER OF HARMONIC AND PERCUSSIVE COMPONENTS IN MUSIC SIGNALS [PDF]
Nobutaka Ono, Kenichi Miyamoto, Hirokazu Kameoka and Shigeki Sagayama, Department of Information Physics and Computing, Graduate School of Information Science and Technology, The University of Tokyo (2008)
A RECURRENT ENCODER-DECODER APPROACH WITH SKIP-FILTERING CONNECTIONS FOR MONAURAL SINGING VOICE SEPARATION [PDF]
Stylianos Ioannis Mimilakis∗, Konstantinos Drossos†, Tuomas Virtanen†, Gerald Schuller∗‡, ∗Fraunhofer IDMT, Ilmenau, Germany, †Tampere University of Technology, Tampere, Finland, ‡Technical University of Ilmenau, Ilmenau, Germany (2017)
A REVIEW ON TECHNIQUES FOR THE EXTRACTION OF TRANSIENTS IN MUSICAL SIGNALS [PDF]
Laurent Daudet, Laboratoire d’Acoustique Musicale Université Pierre et Marie Curie (Paris 6), Paris, France (2005)
A ROBUST PREDOMINANT-F0 ESTIMATION METHOD FOR REAL-TIME DETECTION OF MELODY AND BASS LINES IN CD RECORDINGS [PDF]
Masataka Goto, Electrotechnical Laboratory, Tsukuba, Ibaraki, Japan (2000)
A SCORE-INFORMED SHIFT-INVARIANT EXTENSION OF COMPLEX MATRIX FACTORIZATION FOR IMPROVING THE SEPARATION OF OVERLAPPED PARTIALS IN MUSIC RECORDINGS [PDF]
Francisco J. Rodriguez-Serrano∗, Sebastian Ewert+, Pedro Vera-Candeas∗, Mark Sandler+, ∗ Universidad de Jaén, Spain, + Queen Mary University of London, United Kingdom (2016)
A SEGMENTAL SPECTRAL FLATNESS MEASURE FOR HARMONIC-PERCUSSIVE DISCRIMINATION [PDF]
Julian M. Becker, Christian Rohlfing, Institute of Communications Engineering, RWTH Aachen University, Aachen, Germany (2013)
A SEPARATE AND RESTORE APPROACH TO SCORE-INFORMED MUSIC DECOMPOSITION [permalink]
Christian Dittmar, Jonathan Driedger, Meinard Müller, International Audio Laboratories Erlangen, Erlangen, Germany (2015)
A SIMPLE AUDIO SOURCE SEPARATION LIBRARY BUILT IN PYTHON
Interactive Audio Lab / nussl (2017)
A SIMPLE MUSIC/VOICE SEPARATION METHOD BASED ON THE EXTRACTION OF THE REPEATING MUSICAL STRUCTURE [PDF]
Zafar Rafii, Bryan Pardo, Northwestern University, EECS Department, Evanston, Illinois (2011)
A SIMPLE MUSIC/VOICE SEPARATION METHOD BASED ON THE EXTRACTION OF THE REPEATING MUSICAL STRUCTURE (poster) [PDF]
Zafar Rafii, Bryan Pardo, Northwestern University, EECS Department, Evanston, Illinois (2011)
A SIMPLE USER INTERFACE SYSTEM FOR RECOVERING PATTERNS REPEATING IN TIME AND FREQUENCY IN MIXTURES OF SOUNDS [PDF]
Zafar Rafii1, Antoine Liutkus2, Bryan Pardo3, 1Gracenote, Media Technology Lab, Emeryville, California,USA, 2Inria, Villiers-Lès-Nancy, France,
3Northwestern University, EECS department, Evanston, Illinois, USA <hal- 01116689> (2015)
A SIMPLE USER INTERFACE SYSTEM FOR RECOVERING PATTERNS REPEATING IN TIME AND FREQUENCY IN MIXTURES OF SOUNDS (poster) [PDF]
Zafar Rafii1, Antoine Liutkus2, Bryan Pardo3, 1Gracenote, Media Technology Lab, Emeryville, California,USA, 2Inria, Villiers-Lès-Nancy, France,
3Northwestern University, EECS department, Evanston, Illinois, USA (2015)
A SINGING VOICE/MUSIC SEPARATION METHOD BASED ON NON-NEGATIVE TENSOR FACTORIZATION AND REPEAT PATTERN EXTRACTION [permalink]
Yong Zhang, Xiaohong Ma, School of Information and Communication Engineering, Dalian University of Technology, Dalian, China (2015)
A SKIP ATTENTION MECHANISM FOR MONAURAL SINGING VOICE SEPARATION [permalink]
Weitao Yuan, Shengbei Wang, Xiangrui Li, School of Computer Science and Technology, Tianjin Polytechnic University, Tianjin, China, Mavashi Enoki, School of Information Science, Japan Advanced Institute of Science and Technology, Nomi, Japan, Wenwu Wang, Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford, U.K. (2019)
A SOUND SOURCE SEPARATION SYSTEM FOR PERCUSSION INSTRUMENTS
Masataka Goto (1994)
A SOUND SOURCE SEPARATION SYSTEM WITH THE ABILITY OF AUTOMATIC TONE MODELING [PDF]
Kunio Kashino, Hidehiko Tanaka, Department of Elictrical Engineering, Faculty of Engineering, The University of Tokyo, Tokyo, Japan (1993)
A SPARSE NON-PARAMETRIC APPROACH FOR SINGLE CHANNEL SEPARATION OF KNOWN SOUNDS [PDF]
Paris Smaragdis, Adobe Systems Inc., Madhusudana Shashanka, Mars Inc., Bhiksha Raj, Carnegie Mellon University (2009)
A SPARSE NON-PARAMETRIC APPROACH FOR SINGLE CHANNEL SEPARATION OF KNOWN SOUNDS (slides) [PPT direct download]
Paris Smaragdis, Adobe Systems Inc., Madhusudana Shashanka, Mars Inc., Bhiksha Raj, Carnegie Mellon University (2009)
A SPECTRAL-FILTERING APPROACH TO MUSIC SIGNAL SEPARATION [PDF]
Mark R. Every, John E. Szymanski, Media Engineering Group, Department of Electronics, University of York, York, U.K. (2004)
A STRUCTURED NONNEGATIVE MATRIX FACTORIZATION FOR SOURCE SEPARATION [PDF]
Clément Laroche⋆†, Matthieu Kowalski†‡, Hélène Papadopoulos†, Gaël Richard⋆ Institut Mines-Telecom, Telecom ParisTech, CNRS-LTCI, Paris, France, † Univ Paris-Sud-CNRS-CentraleSupelec, L2S, Gif-sur-Yvette, France, ‡ Parietal project-team, INRIA, CEA-Saclay, France <hal-01199631> (2015)
A STUDY OF BLIND SOURCE SEPARATION USING NONNEGATIVE MATRIX FACTORIZATION [PDF]
Abd Majid Darsono, Toh Cheng Chuan, Mohd Shakir Saat and Azmi Awang Md Isa, Centre for Telecommunication Research and Innovation, Faculty of Electronics and Computer Engineering, Universiti Teknikal Malaysia Melaka, Durian Tunggal, Melaka, Malaysia (2016)
A STUDY OF TRANSFER LEARNING IN MUSIC SOURCE SEPARATION [PDF]
Andreas Bugler1, Bryan Pardo1, Prem Seetharaman1, 2, 1Northwestern University 2Descript, Inc (2020)
A STUDY ON THE MUSICAL SOURCE SEPARATION METHOD USING NMF AND MUSICAL CUES [PDF]
Seokjin Lee, Sang Ha Park, and Koeng-Mo Sung, Applied Acoustics Lab., Institute of New Media and Communications, Seoul National University, Seoul, Republic of Korea (2010)
A STYLE TRANSFER APPROACH TO SOURCE SEPARATION [PDF]
Shrikant Venkataraman♯, Efthymios Tzinis♭, Paris Smaragdis♭,♮, ♯University of Illinois at Urbana-Champaign, Department of Electrical and Computer Engineering, ♭University of Illinois at Urbana-Champaign, Department of Computer Science,♮Adobe Research (2019)
A SUPER-RESOLUTION SPECTROGRAM USING COUPLED PLCA [PDF]
Juhan Nam 1, Gautham J. Mysore 1, Joachim Ganseman 2, Kyogu Lee 3, Jonathan S. Abel 1, 1 Center for Computer Research in Music and Acoustics, Stanford University, 2 IBBT-Vision Lab, Department of Physics, University of Antwerp, 3 Department of Digital Contents Convergence, Seoul National University (2010)
A SUPER-RESOLUTION SPECTROGRAM USING COUPLED PLCA (web page)
Juhan Nam 1, Gautham J. Mysore 1, Joachim Ganseman 2, Kyogu Lee 3, Jonathan S. Abel 1, 1 Center for Computer Research in Music and Acoustics, Stanford University, 2 IBBT-Vision Lab, Department of Physics, University of Antwerp, 3 Department of Digital Contents Convergence, Seoul National University (2010)
A SUPERVISED LEARNING APPROACH TO AMBIENCE EXTRACTION FROM MONO RECORDINGS FOR BLIND UPMIXING [PDF]
Christian Uhle, Christian Paul, Proc. of the 11 Int. Conference on Digital Audio Effects (DAFx-08), Espoo, Finland (2008)
A SURVEY ON SEPARATION OF HARMONIC AND PERCUSSIVE SOUND [PDF]
R. Nandhini, J.Jone of Arc, M.E, Embedded System, Sathyabama University, Chennai (2015)
A SURVEY ON SINGING VOICE SEPARATION TECHNIQUES [PDF]
Shamili P, PG Scholar: dept. of CSE, Vimal Jyothi Engineering College, Kannur, India, Ancy K Sunny, Asst. Professor: dept. of CSE, Vimal Jyothi Engineering College, Kannur, India, Dr. T. M Thasleema, Asst. Professor: dept. of CSE, Central University of Kerala, Kasargod, India (2015)
A SURVEY ON: SOUND SOURCE SEPARATION METHODS [PDF]
1Ms. Monali R. Pimpale, 2Prof. Shanthi Therese , 3Prof. Vinayak Shinde, 1Department of Computer Engineering, Mumbai University, Shree L.R. Tiwari College of Engineering and Technology, Mira Road, India, 2Department of Information Technology, Mumbai University, Thadomal College of Engineering and Technology, Mumbai, India, 3Department of Information Technology, Mumbai University, Shree L.R. Tiwari College of Engineering and Technology, Mira Road, India (2016)
A SYSTEM FOR PROVIDING AUDIBLE SEPARATION OF MIXED SOUND SOURCES [PDF]
Robert Bullen, Bjoern Erlach, Jonathan Abel, Proceedings of Acoustics 2012 - Fremantle (2012)
A SYSTEM FOR THE SEPARATION OF SIMULTANEOUS MUSICAL AUDIO SIGNALS [PDF]
Thomas Stainsby, La Trobe University, Department of Music, Bundoora, Victoria, Australia (1996)
A TANDEM ALGORITHM FOR SINGING PITCH EXTRACTION AND VOICE SEPARATION FROM MUSIC ACCOMPANIMENT [permalink]
Chao-Ling Hsu, DeLiang Wang, Fellow, IEEE, Jyh-Shing Roger Jang, and Ke Hu, Student Member, IEEE (2012)
A TENTATIVE TYPOLOGY OF AUDIO SOURCE SEPARATION TASKS [PDF]
Emmanuel Vincent, Xavier Rodet, Axel Röbel, IRCAM, Analysis-Synthesis Group 1, Paris, France, Cédric Févotte, Éric Le Carpentier, IRCCyN, ADTS Group
1, Nantes Cedex, France, Rémi Gribonval, Laurent Benaroya, Frédéric Bimbot, IRISA, METISS Project, Campus de Beaulieu, Rennes Cedex, France (2003)
A THEORY AND COMPUTATIONAL MODEL OF AUDITORY MONAURAL SOUND SEPARATION [PDF]
Mitchel Weintraub, Stanford University (1985)
A TIKHONOV REGULARIZATION METHOD FOR SPECTRUM DECOMPOSITION IN LOW LATENCY AUDIO SOURCE SEPARATION [permalink]
Ricard Marxer, Jordi Janer, Music Technology Group, Universitat Pompeu Fabra, Barcelona, Spain (2012)
A TIME–FREQUENCY BLIND SIGNAL SEPARATION METHOD APPLICABLE TO UNDERDETERMINED MIXTURES OF DEPENDENT SOURCES [permalink]
Frédéric Abrard and Yannick Deville, Laboratoire d’Astrophysique de Toulouse-Tarbes, Observatoire Midi-Pyrénées, Université Paul Sabatier, Toulouse, France (2005)
A TRACTABLE FRAMEWORK FOR ESTIMATING AND COMBINING SPECTRAL SOURCE MODELS FOR AUDIO SOURCE SEPARATION [PDF]
Simon Arberet, Alexey Ozerov, Frédéric Bimbot, Rémi Gribonval, INRIA <inria-00572249v1> (2011)
A TREND ESTIMATION ALGORITHM FOR SINGING PITCH DETECTION IN MUSICAL RECORDINGS [permalink]
Chao-Ling Hsu , DeLiang Wang , and Jyh-Shing Roger Jang, Computer Science Department, National Tsing Hua University, Taiwan, Department of Computer Science and Engineering & Centre for Cognitive Science, The Ohio State University, Columbus, USA (2011)
A TUTORIAL ON INFORMED AUDIO SOURCE SEPARATION (slides) [PDF]
Alexey Ozerov - Technicolor, Antoine Liutkus - INRIA, Gaël Richard - Institut Telecom, Telecom ParisTech, CNRS LTCI, France (2014)
A UNIFIED MODEL FOR ZERO-SHOT MUSIC SOURCE SEPARATION, TRANSCRIPTION AND SYNTHESIS [PDF]
Liwei Lin1, Qiuqiang Kong2, Junyan Jiang1, Gus Xia1, 1 Music X Lab, New York University, Shanghai, 2 ByteDance, Shanghai, China (2021)
A VOCODER BASED METHOD FOR SINGING VOICE EXTRACTION [PDF]
Pritish Chandna, Merlijn Blaauw, Jordi Bonada, Emilia Gomez, Universitat Pompeu Fabra, Barcelona, Spain (2019)
A VQ-BASED SINGLE–CHANNEL AUDIO SEPARATION FOR MUSIC/SPEECH MIXTURES [permalink]
Meysam Asgari, Mahdi Fallah, Dept. of Electrical Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran,
Elahe Abouie Mehrizi3, Ali Mostafavi4, 3Dept. of Mechanical Engimeering, 4Dept. of Electrical Engineering, University of Birmingham, Birmingham, UK (2009)
A WAVEFORM GENERATION MODEL BASED APPROACH FOR SEGREGATION OF MONAURAL MIXTURE SOUND [PDF]
Akira Sasou and Kazuyo Tanaka, National Institute of Advanced Industrial Science and Technology (AIST), Ibaraki, Japan (2002)
A WAVELET BASED SINUSOID MODEL OF SOUND FOR AUDITORY SIGNAL SEPARATION [PDF]
Daniel PW Ellis & Barry L Vercoe, Muisc & Cognition Group, MIT Media Lab, Cambridge, Massachusetts (1991)
A WAVENET FOR MUSIC SOURCE SEPARATION [PDF direct download]
Francesc Lluís Salvadó, Music Technology Group, Universitat Pompeu Fabra (2018)
AASP-L3: DEEP LEARNING FOR SOURCE SEPARATION AND ENHANCEMENT I (slides) (in Japanese)
Daichi Kitamura, Department of Information Physics and Computing, Graduate School of Information Science and Technology, The University of Tokyo (2017)
ACAPELLA EXTRACTION WITH CONVNETS: A WORKING PROTOTYPE
Ollin Boer Bohan, University of Washington, Seattle, Washington, USA (2017)
ACCELERATING NON-NEGATIVE MATRIX FACTORIZATION FOR AUDIO SOURCE SEPARATION ON MULTI-CORE AND MANY-CORE ARCHITECTURES [PDF]
Eric Battenberg, Parallel Computing Laboratory, University of California, Berkeley, David Wessel, Center for New Music and Audio Technologies, University of California, Berkeley (2009)
ACCELERATING NON-NEGATIVE MATRIX FACTORIZATION FOR AUDIO SOURCE SEPARATION USING OPENMP AND CUDA (poster) [PDF]
Eric Battenberg, Parallel Computing Laboratory, University of California, Berkeley, David Wessel, Center for New Music and Audio Technologies, University of California, Berkeley (2009)
ACCOMPANIMENT MUSIC SEPARATION BASED ON 2DFT AND IMAGE PROCESSING (WORKSHOP) [permalink]
Tian Zhang, Tianqi Zhang, Congcong Fan, Chongqing University of Posts and Telecommunications, Chongqing, China (2020)
ACCOMPANIMENT SEPARATION AND KARAOKE APPLICATION BASED ON AUTOMATIC MELODY TRANSCRIPTION [permalink]
Matti Ryynänen, Tuomas Virtanen, Jouni Paulus, and Anssi Klapuri, Tampere University of Technology, Institute of Signal Processing, Tampere, Finland (2008)
ACCOUNTING FOR PHASE CANCELLATIONS IN NON-NEGATIVE MATRIX FACTORIZATION USING WEIGHTED DISTANCES [permalink]
Sebastian Ewert, Mark D. Plumbley, Mark Sandler, Queen Mary University of London, London, United Kingdom (2014)
ACCURATE MUSIC SEPARATION METHOD BASED ON LSTM MODEL (permalink)
Yang Si, Xi'an Conservatory of Music, China (2021)
ACOUSTIC REPRESENTATION AND PROCESSING: IT IS TIME! [PDF]
Jean Rouat, Stéphane Louiselle, NECOTIS, GEGI, Universit de Sherbrooke, Ramin Pichevar, Advanced Audio Systems, CRC, Ottawa (2006)
ACOUSTIC SIGNAL CLASSIFICATION FROM MONAURAL RECORDINGS [PDF]
Rupali Shete, Dept. of Computer Engineering, Cusrow Wadia Institute of Technology, Pune (2014)
ACTIVE-SET NEWTON ALGORITHM FOR NON-NEGATIVE SPARSE CODING OF AUDIO [permalink]
Tuomas Virtanen⋆, Bhiksha Raj†, Jort F. Gemmeke‡, Hugo Van hamme‡, ⋆ Tampere University of Technology, Department of Signal Processing, †Carnegie Mellon University, Language Technologies Institute, ‡KU Leuven, Department of Electrical Engineering (2014)
ACTIVE SOURCE ESTIMATION FOR IMPROVED SOURCE SEPARATION [PDF]
John Woodruff, Bryan Pardo, Technical Report NWU-EECS-06-01 (2006)