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RESEARCH [P - R]

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!

 

PARAMETRIC REPRESENTATION OF MUSICAL SOUNDS [PDF]

B. Kostek, A. Wieczorkowska, Sound Engineering Department, Faculty of Electronics, Telecommunications and Informatics, Gdańsk University of Technology, Poland (1997)

 

PARSHL: AN ANALYSIS/SYNTHESIS PROGRAM FOR NON-HARMONIC SOUNDS BASED ON A SINUSOIDAL REPRESENTATION [PDF]

Julius O. Smith III, Xavier Serra, Center for Computer Research in Music and Acoustics (CCRMA), Department of Music, Stanford University,

Stanford, California (1987)

 

PATTERN DISCOVERY TECHNIQUES FOR MUSIC AUDIO

Roger B. Dannenberg, Ning Hu, Carnegie Mellon University (2002)

PATTERN INDUCTION AND MATCHING IN MUSIC SIGNALS [PDF]

Anssi Klapuri, Centre for Digital Music, Queen Mary University of London, London, United Kingdom (2010)

 

PATTERN RECOGNITION APPLIED TO MUSIC SIGNALS (slides) [PDF]

Dan Ellis, Laboratory for Recognition and Organization of Speech and Audio, Columbia University, New York (2003)

 

PERCEPTION OF MIXTURE OF MUSICAL INSTRUMENTS WITH SPECTRAL OVERLAP REMOVED [PDF]

Piotr Kleczkowski, AGH University of Science and Technology, Kraków, Poland (2012)

PERCEPTION OF PHASE CHANGES IN THE CONTEXT OF MUSICAL AUDIO SOURCE SEPARATION [permalink]

Chungeun Kim1, Emad M. Grais1, Russell Mason2, and Mark D. Plumbley1, 1Centre for Vision, Speech and Signal Processing, University of Surrey, United Kingdom, 2Institute of Sound Recording, University of Surrey, United Kingdom (2018)

PERCEPTUALLY MOTIVATED ROBUST PRINCIPAL COMPONENT ANALYSIS BASED SEPARATION OF SINGING VOICE FROM MUSIC [PDF]

Madhuri A. Patil1, S. P. Bhosale2, 1 Post graduate Student, Electronics Engineering, AISSMS COE Pune, Maharashtra, India 2 Professor, Electronics Engineering, AISSMS COE Pune, Maharashtra, India (2015)

 

PERCEPTUALLY WEIGHTED NON-NEGATIVE MATRIX FACTORIZATION FOR BLIND SINGLE-CHANNEL MUSIC SOURCE SEPARATION [permalink]

S. Kırbız and B. Gunsel, Multimedia Signal Processing and Pattern Recognition Lab., İstanbul Technical University, Dept. of Electronics and Communications Engineering, İstanbul, Turkey (2012)

PERCEPTUAL QUALITY OF AUDIO SEPARATED USING SIGMOIDAL MASKS [permalink]

Toby Stokes1, Chris Hummersone1, Tim Brookes1 and Andrew Mason2, 1Institute of Sound Recording, University of Surrey, Guildford, UK, 2BBC Research and Development, Centre House, London, UK (2014)

PERCEPTUAL SINGLE-CHANNEL AUDIO SOURCE SEPARATION BY NON-NEGATIVE MATRIX FACTORIZATION [permalink]

Serap Kirbiz, Bilge Gunsel, Istanbul Teknik Üniversitesi (2009)

PERCUSSIVE & HARMONIC CONTENT SEPARATION

Music Information Research 

 

PERCUSSIVE/HARMONIC SOUND SEPARATION BY NON-NEGATIVE MATRIX FACTORIZATION WITH SMOOTHNESS/SPARSENESS CONSTRAINTS [PDF]

Francisco Jesus Canadas-Quesada1, Pedro Vera-Candeas1, Nicolas Ruiz-Reyes1, Julio Carabias-Orti2 and Pablo Cabanas-Molero1, 1Telecommunication Engineering Department, University of Jaen, Linares, Jaen, Spain (2014)

 

PERFORMANCE ANALYSIS OF ALPHA DIVERGENCE IN NONEGATIVE MATRIX FACTORIZATION OF MONAURAL MUSICAL SOUNDS [permalink]

Bhuwan Mehta, Nishchal K. Verma, Pradip Sircar, Department of Electrical Engineering, Indian Institute of Technology Kanpur, India (2012)

 

PERFORMANCE ANALYSIS OF RPCA ALGORITHM FOR SEGREGATION OF SINGING VOICE FROM POLYPHONIC MUSIC [PDF]

Priyanka K. Umap 1, Kirti B. Chaudhari 2, 1 AISSMS College of Engineering, Department of Electronics, Pune, India, 2 College of Engineering Pune, Department of Electronics and Telecommunication, Pune, India (2015)

 

PERFORMANCE EVALUATION OF SELECTED COST FUNCTIONS IN NON NEGATIVE MATRIX FACTORIZATION BASED DECOMPOSITION OF ACOUSTIC MIXTURE [PDF]

*1Adeoluwawale Adewusi, 2Kamoli A. Amusa and 3Aliu S. Are, 1Department of Electrical Electronics Engineering, Federal Polytechnic, Ile-Oluji, Nigeria, 2Department of Electrical Electronics Engineering, Federal University of Agriculture, Abeokuta, Nigeria, 3Department of Electrical Electronics Engineering, University of Ibadan, Ibadan, Nigeria (2019)

PERFORMING ENHANCEMENT OF REPET ALGORITHM FROM FOREGROUND AND BACKGROUND SOUND SEPARATION USING MFCC

Essay UK

 

PHASE-AWARE HARMONIC/PERCUSSIVE SOURCE SEPARATION VIA CONVEX OPTIMIZATION [PDF]

Yoshiki Masuyama, Kohei Yatabe and Yasuhiro Oikawa, Department of Intermedia Art and Science, Waseda University, Tokyo, Japan (2019)

PHASE-BASED HARMONIC/PERCUSSIVE SEPARATION [PDF]

Estefanía Cano, Fraunhofer Institute for Digital Media Technology IDMT, Semantic Music Technologies Research Group, Ilmenau, Germany, Mark D. Plumbley, University of Surrey, Centre for Vision, Speech and Signal Processing (CVSSP), Guildford, Surrey, United Kingdom, Christian Dittmar, 

Friedrich-Alexander-University of Erlangen-Nürnberg, Department of Electrical, Electronic and Communication Engineering, Erlangen, Bavaria, Germany (2014)

PHASE-BASED INFORMED SOURCE SEPARATION OF MUSIC [PDF]

Nicolas Sturmel, Laurent Daudet, Laurent Girin, Proc. of the 15th Int. Conference on Digital Audio Effects (DAFx-12), York, UK <hal-00807001> (2012)

 

PHASE CONSTRAINED COMPLEX NMF: SEPARATING OVERLAPPING PARTIALS IN MIXTURES OF HARMONIC MUSICAL SOURCES [permalink]

Bronson, J. ; Schulich Sch. of Music, McGill Univ., Montreal, QC, Canada ; Depalle, P. (2014)

 

PHASE-DEPENDENT ANISOTROPIC GAUSSIAN MODEL FOR AUDIO SOURCE SEPARATION [permalink]

Paul Magron, Roland Badeau, Bertrand David, LTCI, CNRS, Télécom ParisTech, Université Paris-Saclay, Paris, France (2017)

PHASE-DEPENDENT ANISOTROPIC GAUSSIAN MODEL FOR AUDIO SOURCE SEPARATION (demo)

Paul Magron, Roland Badeau, Bertrand David, LTCI, CNRS, Télécom ParisTech, Université Paris-Saclay, Paris, France (2017)

PHASE-DEPENDENT ANISOTROPIC GAUSSIAN MODEL FOR AUDIO SOURCE SEPARATION (poster) [PDF]

Paul Magron, Roland Badeau, Bertrand David, LTCI, CNRS, Télécom ParisTech, Université Paris-Saclay, Paris, France (2017)

PHASENET: DISCRETIZED PHASE MODELING WITH DEEP NEURAL NETWORKS FOR AUDIO SOURCE SEPARATION [PDF]

Naoya Takahashi1, Purvi Agrawal2, Nabarun Goswami3, Yuki Mitsufuji1, 1Sony Corporation, 2Indian Institute of Science, 3Sony India Software Centre (2018)

PHASE RECONSTRUCTION FROM MAGNITUDE SPECTROGRAMS (slides)

Christian Dittmar, International Audio Laboratories Erlangen, Germany (2017)

PHASE RECONSTRUCTION OF SPECTROGRAMS BASED ON A MODEL OF REPEATED AUDIO EVENTS [PDF]

Paul Magron, Roland Badeau, Bertrand David, Institut Mines-Télécom, Télécom ParisTech, CNRS LTCI, Paris, France (2015)

 

PHASE RECONSTRUCTION OF SPECTROGRAMS WITH LINEAR UNWRAPPING: APPLICATION TO AUDIO SIGNAL RESTORATION [PDF]

Paul Magron, Roland Badeau, Bertrand David, Institut Mines-Télécom, Télécom ParisTech, CNRS LTCI, Paris, France (2015)

 

PHASE RECOVERY BY UNWRAPPING: APPLICATION TO MUSIC SIGNAL PROCESSING [PDF]

Paul Magron, Roland Badeau, Senior Member, IEEE, and Bertrand David, Member, IEEE (2016)

PHASE RECOVERY IN NMF FOR AUDIO SOURCE SEPARATION: AN INSIGHTFUL BENCHMARK [PDF]

Paul Magron, Roland Badeau, Bertrand David, Institut Mines-Télécom, Télécom ParisTech, CNRS LTCI, Paris, France (2015)

 

PITCH ESTIMATION OF SINGING VOICE FROM MONAURAL POPULAR MUSIC RECORDINGS [PDF]

Kwan Kim, Jun Hee Lee, New York University (2012)

 

PITCH-INFORMED SOLO AND ACCOMPANIMENT SEPARATION [PDF]

Estefanía Cano Cerón, Technischen Universität Ilmenau (2014)

 

PITCH, TIMBRE, AND SOURCE SEPARATION (slides) [PPT direct download]

David Griesinger, David Griesinger Acoustics (2012)

PITCH TRACKING FOR MODEL-BASED SPEECH SEPARATION [permalink]

S. W. Lee1, Frank K. Soong2, P. C. Ching1 and Tan Lee1, 1 Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong, China, 2 Microsoft Research Asia, Beijing, China (2008)

 

PLACEMENT OF SOUND SOURCES IN THE STEREO FIELD USING MEASURED ROOM IMPULSE RESPONSES [PDF]

William D. Haines1, Jesse R. Vernon1, Roger B. Dannenberg1, and Peter F. Driessen2, 1 Carnegie Mellon University, Pittsburgh, Pennsylvania, USA 2 University of Victoria, Victoria BC, Canada (2008)

 

POLYPHONIC MUSIC SEPARATION BASED ON THE SIMPLIFIED ENERGY SPLITTER [PDF]

Kristóf Aczél, István Vajk, Department of Automation and Applied Informatics, Budapest University of Technology and Economics, WSEAS Transactions on Signal Processing (2008)

 

POLYPHONIC PITCH DETECTION AND INSTRUMENT SEPARATION [permalink]

Mert Bay and James W. Beauchamp, School of Music and Dept. of Elec. and Computer Eng., Univ. of Illinois at Urbana‐Champaign, Urbana, Illinois (2005)

 

POSITIVE SEMIDEFINITE TENSOR FACTORIZATION (PSDTF) (Abstract, References, Demonstration)

Kazuyoshi Yoshii (AIST, Japan), Ryota Tomioka (Univ. of Tokyo , Japan),  Daichi Mochihashi (ISM , Japan), Masataka Goto (AIST , Japan) (2013)

 

PREDICTING ALGORITHM EFFICACY FOR ADAPTIVE MULTI-CUE SOURCE SEPARATION [permalink]

Ethan Manilow, Prem Seetharaman, Fatemeh Pishdadian, Bryan Pardo, Northwestern University, Electrical Engineering and Computer Science, Evanston, Illinois, USA (2017)

PREDICTING THE PERCEIVED SPACIOUSNESS OF STEREOPHONIC MUSIC RECORDINGS [PDF]

Andy M. Sarroff and Juan P. Bello, New York University (2009)

PREFEST: A PREDOMINANT-F0 ESTIMATION METHOD FOR POLYPHONIC MUSICAL AUDIO SIGNALS [PDF]

Masataka Goto, National Institute of Advanced Industrial Science and Technology (AIST). IT, AIST, Tsukuba, Ibaraki, Japan (2004)

PROBABILISTIC BINARY-MASK COCKTAIL-PARTY SOURCE SEPARATION IN A CONVOLUTIONAL DEEP NEURAL NETWORK [PDF]

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

 

PROBABILISTIC DECOMPOSITIONS OF SPECTRA FOR SOUND SEPARATION [permalink]

Paris Smaragdis, Mitsubishi Electric Research Laboratories, Cambridge, Massachusetts, USA (2007)

 

PROBABILISTIC LATENT COMPONENT ANALYSIS AND ITS ADJUSTMENTS TO AUDIO SIGNALS. APPLICATION TO AUTOMATIC MUSIC TRANSCRIPTION AND SOURCE SEPARATION. (Ph.D. defense) (slides) [PDF]

Benoit Fuentes, Institut Mines-Télécom, Télécom ParisTech, CNRS LTCI, Paris, France (2013)

 

PROBABILISTIC MODEL FOR MAIN MELODY EXTRACTION USING CONSTANT-Q TRANSFORM [PDF]

Benoit Fuentes, Antoine Liutkus, Roland Badeau, Gaël Richard, Institut Télécom,Télécom ParisTech, Paris, France (2012)

 

PROBABILISTIC MODELING OF NON-STATIONARY SIGNALS IN TIME-FREQUENCY DOMAIN: APPLICATION TO MUSIC SIGNALS (slides) [PDF]

Roland Badeau, Télécom ParisTech / CNRS LTCI (2015)

 

PROBABILISTIC MODELING PARADIGMS FOR AUDIO SOURCE SEPARATION [PDF]

Emmanuel Vincent, INRIA, Centre Inria Rennes – Bretagne Atlantique, France, Maria G. Jafari, Samer A. Abdallah, Mark D. Plumbley, Queen Mary University of London, United Kingdom, Mike E. Davies, University of Edinburgh, United Kingdom, Machine Audition: Principles, Algorithms and Systems, IGI Global, pp.162–185, 2010, <10.4018/978-1-61520-919-4.ch007>. <inria-00544016> (2010)

 

PROCESSING MUSIC SIGNALS USING AUDIO DECOMPOSITION TECHNIQUES [PDF]

Jonathan Driedger, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany (2016)

PROJECT ON MUSIC/VOICE SEPARATION

Alex Berrian, University of California, Davis, California 

 

PROSONIQ PANDORA MUSIC DECOMPOSITION (VOICE SEPARATION) SOFTWARE FOR MACINTOSH [permalink]

Computer Music Journal, ISSN 0148-9267, Vol. 21, Nº 3, 1997, pages 116-118 (1997)

 

PROXIMAL DEEP RECURRENT NEURAL NETWORK FOR MONAURAL SINGING VOICE SEPARATION [PDF]

Weitao Yuan*, Shengbei Wang**, Xiangrui Li*, Mavashi Unoki☨ , Wenwu Wang☨☨, *Tianjin Key Laboratory of Autonomous Intelligence Technology and Systems, Tianjin Polytechnic University, China, ☨Japan Advanced Institute of Science and Technology, Japan, ☨☨University of Surrey, UK (2019)

RATIONALIZING THE DESIGN OF DEEP LEARNING MODELS FOR MUSIC SIGNALS

Jordi Pons

REAL-TIME DETECTION OF OVERLAPPING SOUND EVENTS WITH NON-NEGATIVE MATRIX FACTORIZATION [PDF]

Arnaud Dessein, Arshia Cont, and Guillaume Lemaitre, STMS Lab (IRCAM, CNRS, UPMC, INRIA), Paris, France (2013)

 

REALTIME MULTIPLE-PITCH AND MULTIPLE-INSTRUMENT RECOGNITION FOR MUSIC SIGNALS USING SPARSE NON-NEGATIVE CONSTRAINTS [PDF]

Arshia Cont, Ircam-CNRS UMR 9912, IMTR Team, Paris, France, and Music Department, UCSD, La Jolla, California, Shlomo Dubnov, Music Department, University of California in San Diego, La Jolla, California, David Wessel, Center for New Music and Audio Technologies, University of California in Berkeley, Berkeley, California (2007)

 

REAL-TIME ONLINE SINGING VOICE SEPARATION FROM MONAURAL RECORDINGS USING ROBUST LOW-RANK MODELING [PDF]

Pablo Sprechmann - University of Minnesota, Alex Bronstein - Tel Aviv University, Guillermo Sapiro - University of Minnesota (2012)

 

REAL-TIME PITCHED/UNPITCHED SEPARATION OF MONOPHONIC TIMBRE COMPONENTS [PDF]

Joseph A. Sarlo, Department of Music, CRCA, Cal-IT , University of California, San Diego (2004)

 

REAL-TIME SPECTRAL MODELLING OF AUDIO FOR CREATIVE SOUND TRANSFORMATION [PDF]

Jeremy John Wells, Department of Electronics, The University of York, York, U.K. (2006)

 

RECOGNITION OF SOUND SOURCES AND ACOUSTIC EVENTS IN MUSIC AND ENVIRONMENTAL AUDIO [PDF]

Dimitrios Giannoulis, School of Electronic Engineering and Computer Science, Queen Mary University of London (2014)

RECONSTRUCTING COMPLETELY OVERLAPPED NOTES FROM MUSICAL MIXTURES [PDF]

Jinyu Han, Bryan Pardo, Northwestern University (2011)

 

RECONSTRUCTING COMPLETELY OVERLAPPED NOTES FROM MUSICAL MIXTURES (poster) [PDF]

Jinyu Han, Bryan Pardo, Northwestern University (2011)

 

RECONSTRUCTING INDIVIDUAL MONOPHONIC INSTRUMENTS FROM MUSICAL MIXTURES USING SCENE COMPLETION [PDF]

Jinyu Han, Bryan Pardo, Northwestern University (2010)

 

RECONSTRUCTION DE PHASE PAR MODÈLES DE SIGNAUX : APPLICATION À LA SÉPARATION DE SOURCES AUDIO (in French) [PDF]

Paul Magron, TÉLÉCOM ParisTech, Paris, France <tel-01474501> (2016)

RECOVERING OVERLAPPING PARTIALS FOR MONAURAL PERFECT HARMONIC MUSICAL SOUND SEPARATION USING MODIFIED COMMON AMPLITUDE MODULATION [permalink]

Yuki Gong, Xiangbo Shu, Jinhui Tang, Nanjing University of Science and Technology, Nanjing, China (2018)

RECOVERING SOUND SOURCES FROM EMBEDDED REPETITION [PDF]

Josh H. McDermotta,1, David Wrobleskib, and Andrew J. Oxenhamb, aCenter for Neural Science, New York University, New York, New York, bDepartment of Psychology, University of Minnesota, Minneapolis, Minnesota (2011)

 

RECOVERING THE MULTITRACK: SEMI-SUPERVISED SEPARATION OF POLYPHONIC RECORDED MUSIC [PDF]

Sasen Cain, Jennifer Dolson (2008)

 

REDUCING INTERFERENCE WITH PHASE RECOVERY IN DNN-BASED MONAURAL SINGING VOICE SEPARATION [PDF]

Paul Magron1, Konstantinos Drossos1, Stylianos Ioannis Mimilakis2, Tuomas Virtanen1, 1Laboratory of Signal Processing, Tampere University of Technology, Finland, 2Fraunhofer IDMT, Ilmenau, Germany (2018)

REFERENCELESS PERFORMANCE EVALUATION OF AUDIO SOURCE SEPARATION USING DEEP NEURAL NETWORKS [PDF]

Emad M. Grais1,3, Hagen Wierstorf 1∗, Dominic Ward1, Russell Mason2, Mark D. Plumbley1, 1Centre for Vision, Speech and Signal Processing, University of Surrey, UK, 2Institute of Sound Recording, University of Surrey, UK, 3Electronics, Communications, and Computer Engineering Department, Helwan University, Egypt (2018)

REGULARIZED NONNEGATIVE MATRIX FACTORIZATION USING GAUSSIAN MIXTURE PRIORS FOR SUPERVISED SINGLE CHANNEL SOURCE SEPARATION [permalink]

Emad M. Grais, Hakan Erdogan, Faculty of Engineering and Natural Sciences, Sabanci University, Orhanli Tuzla, Istanbul, Turkey (2012)

 

RELATIVE GROUP SPARSITY FOR NON-NEGATIVE MATRIX FACTORIZATION WITH APPLICATION TO ON-THE-FLY AUDIO SOURCE SEPARATION [permalink]

Dalia El Badawy, Alexey Ozerov and Ngoc Q. K. Duong, Technicolor, Cesson Sévigné, France (2015)

 

RELEASING SPLEETER: DEEZER RESEARCH SOURCE SEPARATION ENGINE

Manuel Moussallam, Deezer R & D, Paris, France (2019)

 

REMIXING MUSICAL AUDIO ON THE WEB USING SOURCE SEPARATION [PDF]

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

 

REPEATING PATTERN EXTRACTION TECHNIQUE (REPET): A SIMPLE METHOD FOR MUSIC/VOICE SEPARATION [permalink]

Zafar Rafii, Bryan Pardo, IEEE TRANSACTIONS ON AUDIO, SPEECH, AND LANGUAGE PROCESSING, VOL. 21, NO. 1 (2013)

 

REPET FOR BACKGROUND/FOREGROUND SEPARATION IN AUDIO [permalink]

Zafar Rafii, Northwestern University, Evanston, Illinois, USA, Antoine Liutkus, Inria (Multispeech), LORIA UMR 7503, Université de Lorraine, Villers-lès-Nancy, France, and Bryan Pardo, Northwestern University, Evanston, Illinois, USA (2014)

 

REPET: REPEATING PATTERN EXTRACTION TECHNIQUE (overview, examples)

Zafar Rafii, Northwestern University, Department of EECS, Bryan Pardo, Northwestern University, Department of EECS (2015)

 

REPET: REPEATING PATTERN EXTRACTION TECHNIQUE - A SIMPLE MUSIC/VOICE SEPARATION METHOD BASED ON THE EXTRACTION OF THE UNDERLYING REPEATING STRUCTURE (slides) [PDF]

Zafar Rafii, Northwestern University (2011)

REPEATING PATTERN EXTRACTION TECHNIQUE (REPET) - EECS 352: MACHINE PERCEPTION OF MUSIC & AUDIO (slides) [PDF]

Zafar Rafii, Northwestern University (2014)

REPET-SIM FOR SINGING VOICE SEPARATION [PDF]

Zafar Rafii, Northwestern University, Department of EECS, Bryan Pardo, Northwestern University, Department of EECS (2014)

 

REPRESENTATION LEARNING FOR SINGLE-CHANNEL SOURCE SEPARATION AND BANDWIDTH EXTENSION [permalink]

Matthias Zöhrer and Franz Pernkopf, Signal Processing and Speech Communication Lab, Graz University of Technology, Graz, Austria, Robert Peharz, Medical University of Graz, Graz, Austria (2015)

 

REPRESENTATION MODELS IN SINGLE CHANNEL SOURCE SEPARATION [PDF]

Matthias Zöhrer and Franz Pernkopf, Signal Processing and Speech Communication Lab, Graz University of Technology, Graz, Austria (2015)

 

RESEARCH IN THE IMPROVEMENT OF SINGING VOICE SEPARATION ALGORITHM (in Chinese) [permalink]

Tang Zheng, Beijing University of Posts and International, Beijing, China (2013)

 

RESEARCH ON THE FRAMEWORK OF SINGLE-CHANNEL SOURCE SIGNAL SEPARATION BASED ON BLIND SOURCE SEPARATION TECHNIQUE [PDF direct download]

Jianting Liu, Nanchang University Music Department, Nanchang, China (2017)

RESIDUAL DRUM SOUND ESTIMATION FOR RPCA SINGING VOICE EXTRACTION [PDF]

Shiori Mikami, Arata Kawamura and Youji Iiguni, Osaka University, Osaka, Japan (2017)

RESOLVING OVERLAPPING HARMONICS FOR MONAURAL MUSICAL SOUND SEPARATION USING PITCH AND COMMON AMPLITUDE MODULATION [PDF]

John Woodruff, Yipeng Li, DeLiang Wang, Dept. of Computer Science and Engineering, The Ohio State University (2008)

 

RESONANCE-BASED SIGNAL DECOMPOSITION: A NEW SPARSITY-ENABLED SIGNAL ANALYSIS METHOD [permalink]

Ivan W. Selesnick, Polytechnic Institute of New York University, Brooklyn, New York (2010)

 

RESYNTHESIS OF ACOUSTIC SCENES COMBINING SOUND SOURCE SEPARATION AND WAVEFIELD SYNTHESIS TECHNIQUES [PDF]

Cobos Serrano, Máximo, López Monfort, José Javier (2011)

 

RE-THINKING SOUND SEPARATION: PRIOR INFORMATION AND ADDITIVITY CONSTRAINT IN SEPARATION ALGORITHMS [PDF]

Estefanía Cano & Christian Dittmar - Semantic Music Technologies, Fraunhofer IDMT, Ilmenau, Germany, Gerald Schuller - Institute for Media Technology, Ilmenau University of Technology, Ilmenau, Germany (2013)

REVERBERANT AUDIO SOURCE SEPARATION USING PARTIALLY PRE-TRAINED NONNEGATIVE MATRIX FACTORIZATION

Mahmoud Fakhry 1, 2, Piergiorgio Svaizer 2, Maurizio Omologo 2, 1 Doctoral School of ICT, University of Trento, Trento, Italy, 2 Center of Information Technology, Fondazione Bruno Kessler - Irst, Trento, Italy (2014)

REVERSE ENGINEERING THE AMEN BREAK - SCORE-INFORMED SEPARATION AND RESTORATION APPLIED TO DRUM RECORDINGS

Christian Dittmar and Meinard Müller, International Audio Laboratories Erlangen, Erlangen, Germany (2016)

REVERSE ENGINEERING THE AMEN BREAK - SCORE-INFORMED SEPARATION AND RESTORATION APPLIED TO DRUM RECORDINGS [permalink]

Christian Dittmar and Meinard Müller, International Audio Laboratories Erlangen, Erlangen, Germany (2016)

REVIEW OF SINGLE CHANNEL SOURCE SEPARATION TECHNIQUES [PDF]

Kedar Patki, University of Rochester, Dept. of Electrical and Computer Engineering (2013)

 

RIGID MOTION MODEL FOR AUDIO SOURCE SEPARATION [permalink]

Guy Wolf, Stéphane Mallat, Shihab Shamma, Department of Computer Science, Ècole Normale Supérieure, Paris, France (2015)

 

ROBUST MUSIC SIGNAL SEPARATION BASED ON SUPERVISED NONNEGATIVE MATRIX FACTORIZATION WITH PREVENTION OF BASIS SHARING (slides)

Daichi Kitamura, Hiroshi Saruwatari, Kosuke Yagi, Kiyohiro Shikano, (Nara Institute of Science and Technology, Japan), Yu Takahashi, Kazunobu Kondo, (Yamaha Corporation, Japan) (2013)

 

RÔLE DE LA SÉGRÉGATION SÉQUENTIELLE POUR LA SÉPARATION DE VOIX CONCURRENTES (in French) [PDF]

Etienne Gaudrain, l’Université Lyon 1 – Claude Bernard, Villeurbanne, France (2008)