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RESEARCH [MU-MZ]

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!

 

MULTI-BAND APPROACH TO DEEP LEARNING-BASED ARTIFICIAL STEREO EXTENSION [PDF]

Kwang Myung Jeon1, Su Yeon Park1, Chan Jun Chun1, Nam In Park2, and Hong Kook Kim1, 1 School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Rep. of Korea, 2 Digital Technology and Biometry Division, National Forensic Service, Wonju, Rep. of Korea (2017)

MULTIBAND AUDIO MODELING FOR SINGLE-CHANNEL ACOUSTIC SOURCE SEPARATION [PDF]

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

 

MULTICHANNEL NONNEGATIVE TENSOR FACTORIZATION WITH STRUCTURED CONSTRAINTS FOR USER-GUIDED AUDIO SOURCE SEPARATION [PDF]

Nobutaka Ono, Kenichi Miyamoto, Jonathan Le Roux, Hirokazu Kameoka, and Shigeki Sagayama, Department of Information Physics and Computing,

Graduate School of Information Science and Technology, The University of Tokyo (2008)

 

MULTI-DIMENSIONAL SIGNAL SEPARATION WITH GAUSSIAN PROCESSES [PDF]

Antoine Liutkus, Roland Badeau, Gaël Richard, Institut Telecom, Telecom ParisTech, CNRS LTCI, France (2011)

 

MULTI-F0 TRACKING & HARMONIC SOURCE SEPARATION [PDF]

Mert Bay, James W. Beauchamp, Electrical & Computer Engineering, University of Illinois at Urbana-Champaign (2007)

 

MULTI-INSTRUMENT MUSICAL TRANSCRIPTION USING A DYNAMIC GRAPHICAL MODEL [PDF]

Brian K. Vogel a,c, Michael I. Jordan a,b, David Wessel c, a Dept. of Electrical Engineering and Computer Science, University of California, Berkeley, California, b Dept. of Statistics, University of California, Berkeley, California, c The Center for New Music and Audio Technologies, Berkeley, California, USA (2004)

 

MULTI-OPERATOR BASED SIGNAL SEPARATION APPROACH [permalink]

Baokui Guo, Silong Peng, Xiyuan Hu, Institute of Automation, Chinese Academy of Sciences, Beijing, China (2016)

MULTI-PITCH AND PERIODICITY ANALYSIS MODEL FOR SOUND SEPARATION AND AUDITORY SCENE ANALYSIS [PDF]

Matti Karjalainen and Tero Tolonen, Helsinki University of Technology, Laboratory of Acoustics and Audio Signal Processing, Finland (1999)

MULTIPITCH ESTIMATION AND SOUND SEPARATION BY THE SPECTRAL SMOOTHNESS PRINCIPLE [PDF]

Anssi P. Klapuri, Tampere University of Technology, Tampere, Finland (2001)

 

MULTIPITCH ESTIMATION APPLIED TO SINGLE-CHANNEL AUDIO SOURCE SEPARATION: RELEVANT TECHNIQUES AND CHALLENGES [PDF]

Alejandro Delgado Castro and John E. Szymanski, Audio Lab, Department of Electronics, University of York Heslington, York, North Yorkshire, United Kingdom (2016)

MULTIPITCH ESTIMATION APPLIED TO SINGLE-CHANNEL AUDIO SOURCE SEPARATION: RELEVANT TECHNIQUES AND CHALLENGES (video)

Alejandro Delgado Castro and John E. Szymanski, Audio Lab, Department of Electronics, University of York Heslington, York, North Yorkshire, United Kingdom (2016)

MULTI-PITCH ESTIMATION OF AUDIO RECORDINGS USING A CODEBOOK-BASED APPROACH [permalink]

Martin Weiss Hansen, Jesper Rindom Jensen, Mads Græsbøll Christensen, Audio Analysis Lab, AD:MT, Aalborg University, Denmark (2016)

MULTIPLE FUNDAMENTAL FREQUENCY ESTIMATION AND POLYPHONY INFERENCE OF POLYPHONIC MUSIC SIGNALS [PDF]

Chunghsin Yeh, Axel Roebel, Xavier Rodet, IRCAM (2008)

 

MULTIPLE INSTRUMENT MIXTURES SOURCE SEPARATION EVALUATION USING INSTRUMENT-DEPENDENT NMF MODELS [permalink]

Francisco J. Rodriguez-Serrano1, Julio J. Carabias-Orti1, Pedro Vera-Candeas1, Tuomas Virtanen2, and Nicolas Ruiz-Reyes1, 1 Universidad de Jaen, Jaen, Spain, 2 Tampere University of Technology, Tampere, Finland (2012)

 

MULTIPLICATIVE UPDATE RULES FOR NONNEGATIVE MATRIX FACTORIZATION WITH CO-OCCURRENCE CONSTRAINTS [permalink]

Steven K. Tjoa and K. J. Ray Liu, Signals and Information Group, Dept. of Electrical and Computer Engineering, University of Maryland – College Park, Maryland, USA (2010)

 

MULTI-RESOLUTION FULLY CONVOLUTIONAL NEURAL NETWORKS FOR MONAURAL AUDIO SOURCE SEPARATION [PDF]

Emad M. Grais, Hagen Wierstorf, Dominic Ward, and Mark D. Plumbley, Centre for Vision, Speech and Signal Processing University of Surrey, Guildford, UK (2017)

MULTI-RESOLUTION SIGNAL DECOMPOSITION WITH TIME-DOMAIN SPECTROGRAM FACTORIZATION [permalink]

Hirokazu Kameoka, The University of Tokyo / Nippon Telegraph and Telephone Corporation (2015)

 

MULTIRESOLUTION TIME-FREQUENCY ANALYSIS OF POLYPHONIC MUSIC [permalink]

Keren, R. ; Dept. of Electr. Eng., Technion-Israel Inst. of Technol., Haifa, Israel ; Zeevi, Y.Y. ; Chazan, D. (1998)

 

MULTI-SCALE MULTI-BAND DENSENETS FOR AUDIO SOURCE SEPARATION [PDF]

Naoya Takahashi, Yuki Mitsufuji, Sony Corporation, Minato-ku, Tokyo, Japan (2017)

MULTI-STAGE NON-NEGATIVE MATRIX FACTORIZATION FOR MONAURAL SINGING VOICE SEPARATION [permalink]

Bilei Zhu, Wei Li, Ruijiang Li, and Xiangyang Xue, Member, IEEE (2013)

 

MUSIC AND VOCAL SEPARATION USING MULTI-BAND MODULATION BASED FEATURES [PDF]

Sunil Kumar Kopparapu, Meghna Pandharipande, G Sita, TCS Innovation lab - Mumbai, Tata Consultancy Services Limited, Yantra Park, Thane (West) (2014)

 

MUSIC AND VOICE SEPARATION USING LOG-SPECTRAL AMPLITUDE ESTIMATOR BASED ON KERNEL SPECTROGRAM MODELS BACKFITTING (in Korean)

Jun-Yong Lee and Hyoung-Gook Kim, Department of Wireless Communication Engineering, Kwang- Woon University, Seoul, Republic of Korea (2015)

 

MUSICAL AUDIO SEPARATION WITH CONVOLUTIONAL NEURAL NETWORKS (demos)

Gerard Roma, Owen Green, Pierre Alexandre Tremblay, University of Huddersfield, Huddersfield, UK (2018)

MUSICAL AUDIO SOURCE SEPARATION BASED ON USER-SELECTED F0 TRACK [PDF]

Jean-Louis Durrieu, Jean-Philippe Thiran, Ecole Polytechnique Fédérale de Lausanne (EPFL), Signal Processing Laboratory (LTS5), Switzerland (2012)

 

MUSICAL INSTRUMENT DETECTION: DETECTING INSTRUMENTATION IN POLYPHONIC MUSICAL SIGNALS ON A FRAME-BY-FRAME BASIS [PDF]

Greg Sell, Gautham J. Mysore, Song Hui Chon, Center for Computer Research in Music and Acoustics, Stanford University, Stanford, California (2006)

 

MUSICAL INSTRUMENT EXTRACTION THROUGH TIMBRE CLASSIFICATION [PDF]

Sang Hyun Park, NVIDIA Corporation, Santa Clara, California (2013)

 

MUSICAL INSTRUMENT RECOGNITION IN POLYPHONIC AUDIO USING SOURCE-FILTER MODEL FOR SOUND SEPARATION [PDF]

Toni Heittola, Anssi Klapuri and Tuomas Virtanen, Deparment of Signal Processing, Tampere University of Technology (2009)

 

MUSICAL INSTRUMENT SEPARATION [PDF]

Andrei Grecu, Vienna University of Technology (2007)

 

MUSICAL INSTRUMENT SEPARATION (poster) [PDF]

Andrei Grecu, Technische Universität Wien Institut für Softwaretechnik und Interaktive Systeme (2007)

 

MUSICAL INSTRUMENT SEPARATION ON SHIFT-INVARIANT SPECTROGRAMS VIA STOCHASTIC DICTIONARY LEARNING [PDF]

Sören Schulze, Emily J. King, Computational Data Analysis, University of Bremen, Bremen, Germany (2018)

MUSICAL INSTRUMENT SIGNAL SEPARATION FROM POPULAR SONGS [PDF]

Seung Hoon Choi, Stanford University (2009)

 

MUSICAL INSTRUMENT SOUND SOURCE SEPARATION [PDF direct download]

David Oon Tao Gunawan, School of Electrical Engineering and Telecommunications The University of New South Wales (2009)

 

MUSICAL INSTRUMENT SOURCE SEPARATION IN UNISON AND MONAURAL MIXTURES [PDF]

Melik Berkan Ercan, Department of Computer Engineering and the Graduate School of Engineering and Science, Bilkent University (2014)

 

MUSICAL NOTES SEPARATION USING NON-NEGATIVITY APPROACH [PDF]

Jaywant Vilasrao Patil1, Zakir Mujeeb Shaikh2, M.E. Student, Department of Computer Engineering, N. K. Orchid College of Engineering, Maharashtra, India 1, Assistant Professor, Department of Computer Engineering, N. K. Orchid College of Engineering, Maharashtra, India 2 (2015)

 

MUSICAL SOUND SEPARATION BASED ON BINARY TIME-FREQUENCY MASKING [PDF]

Yipeng Li1 and DeLiang Wang2, 1 Department of Computer Science and Engineering, The Ohio State University, Columbus, Ohio, USA, 2 Department of Computer Science and Engineering and Center of Cognitive Science, The Ohio State University, Columbus, Ohio, USA (2009)

 

MUSICAL SOUND SEPARATION USING PITCH-BASED LABELING AND BINARY TIME-FREQUENCY MASKING [permalink]

Yipeng Li and DeLiang Wang, Department of Computer Science and Engineering & Center for Cognitive Science, The Ohio State University (2008) 

 

MUSICAL SOUND SOURCE SEPARATION BASED ON COMPUTATION AUDITORY SCENE ANALYSIS (presentation) [PDF]

Jinyu Han, Interactive Audio Lab, Northwestern University 

 

MUSICAL SOUND SOURCE SEPARATION USING EXTENDED TENSOR DECOMPOSITIONS [PDF]

Derry FitzGerald, Dublin Institute of Technology (2009

MUSICAL SOURCE SEPARATION: AN INTRODUCTION [PDF]

Estefanía Cano, Derry FitzGerald, Antoine Liutkus, Mark D. Plumbley, Fabian-Robert Stöter (2018)

MUSICAL SOURCE SEPARATION: AN INTRODUCTION (website)

Estefanía Cano, Derry FitzGerald, Antoine Liutkus, Mark D. Plumbley, Fabian-Robert Stöter (2018)

MUSICAL SOURCE SEPARATION: A TUTORIAL

Estefanía Cano, Derry Fitzgerald, Antoine Liutkus, Mark D. Plumbley, Fabian-Robert Stöter (2018)

MUSICAL SOURCE SEPARATION BY COHERENT FREQUENCY MODULATION CUES [PDF]

Elliot Creager, Department of Music Research, Schulich School of Music, McGill University, Montreal, Canada (2015)

MUSICAL SOURCE SEPARATION: PRINCIPLES AND STATE OF THE ART (presentation) [PDF]

Juan José Burred, Équipe Analyse/Synthèse, IRCAM (2008)

 

MUSICAL SOURCE SEPARATION USING GENERALISED NON-NEGATIVE TENSOR FACTORISATION MODELS [PDF]

Derry FitzGerald, Matt Cranitch, Dept. of Electronic Engineering, Cork Institute of Technology, Cork, Ireland, Eugene Coyle, School of Electrical Engineering Systems, Dublin Institute of Technology, Dublin, Ireland (2008)

 

MUSICAL SOURCE SEPARATION USING TIME-FREQUENCY SOURCE PRIORS (presentation) [PDF]

Emmanuel Vincent, Presented by Adam Cohen, Signal and Image processing Lab (SIPL), Department of Electrical Engineering, Technion, Israel Institute of Technology (2008)

MUSIC AND VOCAL SEPARATION USING MULTI-BAND MODULATION BASED FEATURES [PDF]

Sunil Kumar Kopparapu, Meghna Pandharipande, G Sita, TCS Innovation lab - Mumbai, Tata Consultancy Services Limited, Yantra Park, Thane (West) (2014)

 

MUSIC-CONTENT-ADAPTIVE ROBUST PRINCIPAL COMPONENT ANALYSIS FOR A SEMANTICALLY CONSISTENT SEPARATION OF FOREGROUND AND BACKGROUND IN MUSIC AUDIO SIGNALS [PDF]

Hélène Papadopoulos - Laboratoire des Signaux et Systèmes, CNRS-SUPELEC-Univ. Paris-Sud, France, Daniel P.W. Ellis, LabROSA, Columbia University,

Proc. of the 17 Int. Conference on Digital Audio Effects (DAFx-14), Erlangen, Germany (2014)

 

MUSIC MODELS FOR MUSIC-SPEECH SEPARATION [permalink]

Thad Hughes and Trausti Kristjansson, Google Research, USA (2012)

 

MUSIC RECOGNITION: EXTRACTING A MONOPHONIC INSTRUMENT OUT Of A JAZZ QUARTET RECORDING (slide presentation) [PDF]

Alain Brenzikofer, École Polytechnique Fédérale de Lausanne, Signal Processing Institute, Lausanne, Switzerland (2004)

 

MUSIC REMIXING AND UPMIXING USING SOURCE SEPARATION [PDF]

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

MUSIC SEPARATION GUIDED BY COVER TRACKS: DESIGNING THE JOINT NMF MODEL [PDF]

Nathan Souviraà-Labastie∗, Emmanuel Vincent†, Frédéric Bimbot‡, ∗ Université de Rennes 1, IRISA - UMR 6074, Campus de Beaulieu 35042 Rennes cedex, France, † Inria, Centre de Nancy - Grand Est, 54600 Villers-lès-Nancy, France, ‡ CNRS, IRISA - UMR 6074, Campus de Beaulieu 35042 Rennes cedex, France <hal-01108675> (2015)

 

MUSIC SEPARATION WITH DNNS: MAKING IT WORK (abstract)

Antoine Liutkus, Fabian-Robert Stöter, Inria and LIRMM, Montpellier (2018)

MUSIC SEPARATION WITH DNNS: MAKING IT WORK (materials)

Antoine Liutkus, Fabian-Robert Stöter, Inria and LIRMM, Montpellier (2018)

MUSIC SEPARATION WITH DNNS: MAKING IT WORK (slides)

Antoine Liutkus, Fabian-Robert Stöter, Inria and LIRMM, Montpellier (2018)

MUSIC SIGNAL ANALYSIS USING SPECTRAL CLUSTERING (slides) [PDF]

Luis Gustavo Martins, 9o Encontro da Secção Portuguesa de Engenharia de Áudio, Leiria, Portugal (2007)

 

MUSIC SIGNAL PROCESSING EXPLOITING SPECTRAL FLUCTUATION OF SINGING VOICE USING HARMONIC/PERCUSSIVE SOUND SEPARATION [PDF direct download]

Hideyuki Tachibana, The University of Tokyo (2014)

MUSIC SIGNAL PROCESSING USING VECTOR PRODUCT NEURAL NETWORKS [PDF]

Zhe-Cheng Fan1, Tak-Shing T. Chan2, Yi-Hsuan Yang2, and Jyh-Shing R. Jang1, 1Dept. of Computer Science and Information Engineering, National Taiwan University, Taiwan, 2Research Center for Information Technology Innovation, Academia Sinica, Taiwan (2017)

MUSIC SIGNAL SEPARATION BASED ON BAYESIAN SPECTRAL AMPLITUDE ESTIMATOR WITH AUTOMATIC TARGET PRIOR ADAPTATION [permalink]

† Yuki Murota, † Daichi Kitamura, † Shunsuke Nakai, † Hiroshi Saruwatari, † Satoshi Nakamura, ‡ Yu Takahashi, ‡ Kazunobu Kondo, † Nara Institute of Science and Technology, Nara, Japan ‡ Yamaha Corporation, Shizuoka, Japan (2014)

 

MUSIC SIGNAL SEPARATION BASED ON BAYESIAN SPECTRAL AMPLITUDE ESTIMATOR WITH AUTOMATIC TARGET PRIOR ADAPTATION (poster) [PDF]

† Yuki Murota, † Daichi Kitamura, † Shunsuke Nakai, † Hiroshi Saruwatari, † Satoshi Nakamura, ‡ Yu Takahashi, ‡ Kazunobu Kondo, † Nara Institute of Science and Technology, Nara, Japan ‡ Yamaha Corporation, Shizuoka, Japan (2014)

 

MUSIC SIGNAL SEPARATION BASED ON SUPERVISED NONNEGATIVE MATRIX FACTORIZATION WITH ORTHOGONALITY AND MAXIMUM-DIVERGENCE PENALTIES [permalink]

Daichi Kitamura1), Hiroshi Saruwatari1), Kosuke Yagi1), Kiyohiro Shikano1), Yu Takahashi2), Kazunobu Kondo2), 1) Nara Institute of Science and Technology 2) Research & Development, Yamaha Corporation (2014)

 

MUSIC SIGNAL SEPARATION BY ORTHOGONALITY AND MAXIMUM-DISTANCE CONSTRAINED NONNEGATIVE MATRIX FACTORIZATION WITH TARGET SIGNAL INFORMATION [permalink]

Yagi, Kosuke; Takahashi, Yu; Saruwatari, Hiroshi; Shikano, Kiyohiro; Kondo, Kazunobu, Nara Institute of Science and Technology, Nara, Japan; Yamaha Corporate Research & Development Center, Shizuoka, Japan (2012)

 

MUSIC SIGNAL SEPARATION BY SUPERVISED NONNEGATIVE MATRIX FACTORIZATION WITH BASIS DEFORMATION [permalink]

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

(Yamaha Corporate Research & Development Center, Shizuoka, Japan) (2013)

 

MUSIC SIGNAL SEPARATION BY SUPERVISED NONNEGATIVE MATRIX FACTORIZATION WITH BASIS DEFORMATION (demo)

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

(Yamaha Corporate Research & Development Center, Shizuoka, Japan) (2013)

MUSIC SIGNAL SEPARATION BY SUPERVISED NONNEGATIVE MATRIX FACTORIZATION WITH BASIS DEFORMATION (poster) [PDF]

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

(Yamaha Corporate Research & Development Center, Shizuoka, Japan) (2013)

 

MUSIC SIGNAL SEPARATION COMBINING DIRECTIONAL CLUSTERING AND NONNEGATIVE MATRIX FACTORIZATION WITH SPECTROGRAM RESTORATION [PDF]

Daichi Kitamura, Department of Information Science, Graduate School of Information Science, Nara Institute of Science and Technology (2014)

 

MUSIC SIGNAL SEPARATION USING SUPERVISED NMF WITH ALL-POLE-MODEL-BASED DISCRIMINATIVE BASIS DEFORMATION [PDF]

Hiroaki Nakajima∗, Daichi Kitamura†, Norihiro Takamune∗, Shoichi Koyama∗, Hiroshi Saruwatari∗, Nobutaka Ono‡, Yu Takahashi§ and Kazunobu Kondo§, ∗The University of Tokyo, Tokyo, Japan, †SOKENDAI (The Graduate University for Advanced Studies), Tokyo, Japan, ‡National Institute of Information, Tokyo, Japan, §Research & Development Division, Yamaha Corporation, Shizuoka, Japan (2016)

MUSIC SIGNAL SEPARATION USING SUPERVISED NONNEGATIVE MATRIX FACTORIZATION WITH ORTHOGONALITY AND MAXIMUM-DIVERGENCE PENALTIES (slides) (in Japanese)

Daichi Kitamura1), Hiroshi Saruwatari1), Kosuke Yagi1), Kiyohiro Shikano1), Yu Takahashi2), Kazunobu Kondo2), 1) Nara Institute of Science and Technology 2) Research & Development, Yamaha Corporation (2014)

 

MUSIC SOURCE ACTIVITY DETECTION AND SEPARATION USING DEEP ATTRACTOR NETWORK [PDF]

Rajath Kumar, Yi Luo, Nima Mesgarani, Department of Electrical Engineering, Columbia University, New York, New York, USA (2018)

MUSIC SOURCE SEPARATION (demo results)

Bochen Li, University of Rochester, Rochester, New York, USA (2019)

 

MUSIC SOURCE SEPARATION [PDF]

Hao-Wei Tseng, Electrical and Engineering System, University of Michigan, Ann Arbor, Michigan, USA (2014)

 

MUSIC SOURCE SEPARATION AND ITS APPLICATIONS TO MIR (tutorial) [PDF]

Emmanuel Vincent and Nobutaka Ono, INRIA Rennes - Bretagne Atlantique, France, The University of Tokyo, Japan (2010)

 

MUSIC SOURCE SEPARATION BASED ON IMPROVED SINUSOIDAL MODELING [permalink]

Su Ping Li, Quan Sheng Jiang, Hong Xia Chang, Chaohu University, Chaohu, China (2013)

 

MUSIC SOURCE SEPARATION BASED ON TOTAL HARMONIC TO SIGNAL RATIO (in Chinese) [PDF]

Chia-Wei Kuo, National Central University, Taoyuan City, Taiwan, R.O.C. (2015) 

 

MUSIC SOURCE SEPARATION IN THE WAVEFORM DOMAIN

Alexandre Défossez, Facebook AI Research, INRIA,École Normale Supérieure PSL Research University, Nicolas Usunier, Facebook AI Research, Léon Bottou, Facebook AI Research, Francis Bach, INRIA, École Normale Supérieure PSL Research University (2019)

MUSIC SOURCE SEPARATION IN THE WAVEFORM DOMAIN (preprint) [PDF]

Alexandre Défossez, Facebook AI Research, INRIA,École Normale Supérieure PSL Research University, Nicolas Usunier, Facebook AI Research, Léon Bottou, Facebook AI Research, Francis Bach, INRIA, École Normale Supérieure PSL Research University (2019)

MUSIC SOURCE SEPARATION IN THE WAVEFORM DOMAIN (audio samples)

Alexandre Défossez, Facebook AI Research, INRIA,École Normale Supérieure PSL Research University, Nicolas Usunier, Facebook AI Research, Léon Bottou, Facebook AI Research, Francis Bach, INRIA, École Normale Supérieure PSL Research University (2019)

MUSIC SOURCE SEPARATION USING STACKED HOURGLASS NETWORKS [PDF]

Sungheon Park, Taehoon Kim, Kyogu Lee, Nojun Kwak, Graduate School of Convergence Science and Technology, Seoul National University, Korea (2018)

MUSIC SOURCE SEPARATION USING STACKED HOURGLASS NETWORKS (results)

Sungheon Park, Taehoon Kim, Kyogu Lee, Nojun Kwak, Graduate School of Convergence Science and Technology, Seoul National University, Korea (2018)

MUSIC SOURCE SEPARATION USING WEAKLY LABELLED DATA [PDF]

Qiuqiang Kong, Yong Xu, Wenwu Wang, Mark D. Plumbley, Center for Vision, Speech and Signal Processing (CVSSP), University of Surrey, UK (2017)

MUSIC SOURCE SEPARATION VIA SPARSIFIED DICTIONARIES VS. PARAMETRIC MODELS [PDF]

Mahdi Triki†, Dirk T.M. Slock∗, † CNRS, Communication Systems Laboratory, ∗Eurecom Institute, Sophia Antipolis Cedex, France (2006)

 

MUSIC SOURCE SEPARATION WITH DEEP U-NET CONVOLUTIONAL NETWORKS DEMO (video)

Hanyang University Electronic Engineering Graduate Private Project Demo (2019)

MUSIC TRANSCRIPTION AND SEPARATION WITH SPARSE SOURCE PRIORS (presentation) [PDF]

Emmanuel Vincent, Queen Mary University of London, Centre for Digital Music (2004)

 

MUSIC/VOICE SEPARATION (demos)

KwangWoon University Multimedia Technology Laboratory, Seoul, South Korea (2014)

MUSIC/VOICE SEPARATION BASED ON KERNEL BACK-FITTING USING WEIGHTED β-ORDER MMSE ESTIMATION [PDF direct download]

Hyoung-Gook Kim, Department of Electronics Convergence Engineering, Kwangwoon University, Seoul, Rep. of Korea, and Jin Young Kim, Department of Electronics and Computer Engineering, Chonnam National University, Gwangju, Rep. of Korea (2016)

MUSIC/VOICE SEPARATION BASED ON THE MULTI-REPEATING STRUCTURE OF MEL CEPSTRUM COEFFICIENT [permalink]

Zhang Tianqi; Xu Xin; Wu Wangjun; Liu Yu; Chongqing Key Laboratory of Signal and Information Processing, Chongqing University of Posts and Telecommunications (2015)

 

MUSIC/VOICE SEPARATION FROM INDIAN FOLK MUSIC USING ESTABLISHED TIME FREQUENCY MASKING BASED TECHNIQUE [PDF]

Rahul Yadav, Shubham Mishra, Nitin Mukesh, Neelesh Kumar, Department of Computer Science and Engineering Technology, National Institute of Technology, Agartala, India (2017)

MUSIC/VOICE SEPARATION USING THE SIMILARITY MATRIX [PDF]

Zafar Rafii, Bryan Pardo, Northwestern University, EECS Department, Evanston, Illinois (2012)

 

MUSIC/VOICE SEPARATION USING THE SIMILARITY MATRIX (slides) [PDF]

Zafar Rafii, Bryan Pardo, Northwestern University, EECS Department, Evanston, Illinois (2012)

MUSIC/VOICE SEPARATION USING THE 2D FOURIER TRANSFORM [permalink]

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