monotoSTEREO.info | RESEARCH (MU

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)

MULTI-BAND MASKING FOR WAVEFORM-BASED SINGING VOICE SEPARATION [PDF]

Panagiotis Papantonakis1, Christos Garoufis1,2, and Petros Maragos1,2, 1School of ECE, National Technical University of Athens, Athens, Greece,

2Robot Perception and Interaction Unit, Athena Research Center, Maroussi, Greece (2022)

MULTI-BAND MULTI-RESOLUTION FULLY CONVOLUTIONAL NEURAL NETWORKS FOR SINGING VOICE SEPARATION [PDF]

Emad M. Grais1∗, Fei Zhao 1, Mark D. Plumbley2, 1Centre for Speech and Language Therapy and Hearing Science, Cardiff Metropolitan University, UK, 2Centre for Vision, Speech and Signal Processing, University of Surrey, UK (2019)

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-CHANNEL U-NET FOR MUSIC SOURCE SEPARATION (website w/demos)

Venkatesh S. Kadandale∗, Juan F. Montesinos∗, Gloria Haro∗, Emilia Gómez∗†, ∗ Department of Information and Communications Technologies, Universitat Pompeu Fabra, Barcelona, Spain, † Joint Research Centre, European Commission, Seville, Spain (2020)

MULTI-CHANNEL U-NET FOR MUSIC SOURCE SEPARATION [PDF]

MULTI-CHANNEL U-NET FOR MUSIC SOURCE SEPARATION (video presentation)

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)

MULTIMODAL ANALYSIS: INFORMED CONTENT ESTIMATION AND AUDIO SOURCE SEPARATION [PDF]

Gabriel Meseguer-Brocal, Sorbonne Université, Paris, France (2020)

MULTIMODAL MUSIC RECORDING REMASTERING (poster)

Giorgia Cantisani 1, Slim Essid 1, Gaël Richard 1, 1 LTCI, Télécom ParisTech, Université Paris-Saclay, Paris, France (2021)

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-SCALE TEMPORAL-FREQUENCY ATTENTION FOR MUSIC SOURCE SEPARATION [PDF]

Lianwu Chen, Xiguang Zheng, Chen Zhang, Liang Guo, Bing Yu, Kuaishou Technology Co., Beijing, China (2022)

MULTI-SOURCE DIFFUSION MODELS FOR SIMULTANEOUS MUSIC GENERATION AND SEPARATION [PDF]

Giorgio Mariani 1, Irene Tallini 1, Emilian Postolache 1, Michele Mancusi 1, Luca Cosmo 2, Emanuele Rodola` 1, 1Department of Computer Science, Sapienza University of Rome, Italy, 2Department of Computer Science, Ca’ Foscari University, Venice, Italy (2023)

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

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

MULTI-TASK AUDIO SOURCE SEPARATION [PDF]

Lu Zhang1,2 , Chenxing Li1 , Feng Deng1 , Xiaorui Wang1 1Kuai Shou Technology Co., Beijing, China, 2Harbin Institute of Technology, Shenzhen, China (2021)

MULTITASK LEARNING FOR INSTRUMENT ACTIVATION AWARE MUSIC SOURCE SEPARATION [PDF]

Yun-Ning Hung, Alexander Lerch, Center for Music Technology, Georgia Institute of Technology (2020)

MULTITASK LEARNING FOR INSTRUMENT ACTIVATION AWARE MUSIC SOURCE SEPARATION (demo)

Yun-Ning Hung, Alexander Lerch, Center for Music Technology, Georgia Institute of Technology (2020)

MULTITASK LEARNING FOR INSTRUMENT ACTIVATION AWARE MUSIC SOURCE SEPARATION (presentation)

Yun-Ning Hung, Alexander Lerch, Center for Music Technology, Georgia Institute of Technology (2020)

MULTI-TASK U-NET FOR MUSIC SOURCE SEPARATION [PDF]

Venkatesh S. Kadandale1, Juan F. Montesinos1, Gloria Haro1, Emilia Gómez12, 1 Department of Information and Communications Technologies, Universitat Pompeu Fabra, Barcelona, Spain, 2 Joint Research Centre, European Commission, Seville, Spain (2020)

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 [PDF direct download]

Alexandru Mocanu, IC - School of Computer Science and Communication Systems (2020)

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)

MUSIC SOURCE SEPARATION USING DEEP NEURAL NETWORKS [PDF]

Ferran López Soler, Escola Tècnica d'Enginyeria de Telecomunicació de Barcelona, Universitat Politècnica de Catalunya (2020)

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)

MUSICAL SOURCE SEPARATION WITH DEEP LEARNING AND LARGE-SCALE DATASETS [PDF]

Andreas Jansson, City, University of London (2019)

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 DEMIXING CHALLENGE AT ISMIR 2021 [PDF]

Yuki Mitsufuji1, Giorgio Fabbro2, Stefan Uhlich2, Fabian-Robert Stöter3, 1 Sony Group Corporation, Japan 2 Sony Europe B.V., Germany 3 INRIA, France (2021)

MUSIC DEMIXING WITH THE SLICQ TRANSFORM [PDF]

Sevag Hanssian, McGill University, Montreal, Quebec, Canada (2021)

MUSIC ENSEMBLE SEPARATION

Centre for Digital Music, School of Electronic Engineering and Computer Science, Queen Mary University of London (2023)

MUSIC GESTURE FOR VISUAL SOUND SEPARATION

Chuang Gan1,2, Deng Huang2, Hang Zhao1, Joshua B. Tenenbaum1, Antonio Torralba1, 1 MIT, 2 MIT-IBM Watson AI Lab (2020)

MUSIC GESTURE FOR VISUAL SOUND SEPARATION [PDF]

Chuang Gan1,2, Deng Huang2, Hang Zhao1, Joshua B. Tenenbaum1, Antonio Torralba1, 1 MIT, 2 MIT-IBM Watson AI Lab (2020)

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 ENHANCEMENT WITH GENERATIVE MODELING

Noah Schaffer, Boaz Cogan, Ethan Manilow, Max Morrison, Prem Seetharaman, Bryan Pardo, International Society for Music Information Retrieval (ISMIR) (2022)

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]

MUSIC SIGNAL SEPARATION BASED ON IMPROVED MULTIPITCH ESTIMATION METHOD USING HIDDEN MARKOV MODEL [PDF]

Bodong Hou, Department of Automation, North China Electric Power University (Baoding), Baoding City, China (2019)

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)

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 [PDF]

Sadiqur Rahman, Alam Shahriar, Md. Alim-Ul-Alam Masum, Daffodil International Universitydhaka, Bangladesh (2020)

MUSIC SOURCE SEPARATION: A GUIDE [permalink]

Rudranil Das, Deepti Deshwal, Pardeep Sangwan, Neelam Nehra, Department of ECE, Maharaja Surajmal Institute of Technology, New Delhi, India (2021)

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 A LIGHTWEIGHT DEEP LEARNING FRAMEWORK (DTTNET: DUAL-PATH TFC-TDF UNET) [PDF]

Junyu Chen⋆, Susmitha Vekkot†, Pancham Shukla⋆, ⋆ Department of Computing, Imperial College London, UK, †Department of Electronics & Communication Engineering, Amrita Vishwa Vidyapeetham, India (2023)

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]

MUSIC SOURCE SEPARATION IN THE WAVEFORM DOMAIN (audio samples)

MUSIC SOURCE SEPARATION SYNTHESIS USING MULTIPLE INPUT SPECTROGRAM INVERSION [permalink]

David Gunawan & D. Sen, School of Electrical Engineering and Telecommunications, The University of New South Wales, Sydney, Australia (2009)

MUSIC SOURCE SEPARATION USING ASPP BASED ON COUPLED U-NET MODEL [PDF]

Suwon Yanga a, Daewon Leeb b, a Department of Computer Science and Engineering, Korea University, Seoul, Korea, b Department of Computer Engineering, Seokyeong University, Seoul, Korea (2021)

MUSIC SOURCE SEPARATION USING DEEP NEURAL NETWORKS [PDF]

Ferran López Soler, Universitat Politècnica de Catalunya (2020)

MUSIC SOURCE SEPARATION USING GENERATIVE ADVERSARIAL NETWORK AND U-NET [permalink]

Muhammad Ferianda Satya and Suyanto Suyanto, Telkom University, School of Computing, Bandung, Indonesia (2020)

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 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 BAND-SPLIT RNN [PDF]

Yi Luo, Jianwei Yu (2022)

MUSIC SOURCE SEPARATION WITH BAND-SPLIT ROPE TRANSFORMER [PDF]

Wei-Tsung Lu∗, Ju-Chiang Wang∗, Qiuqiang Kong, Yun-Ning Hung, SAMI, ByteDance (2023)

MUSIC SOURCE SEPARATION WITH DEEP EQUILIBRIUM MODELS [PDF]

Yuichiro Koyama⋆, Naoki Murata⋆, Stefan Uhlich†, Giorgio Fabbro†, Shusuke Takahashi⋆, Yuki Mitsufuji⋆, ⋆ Sony Group Corporation, Tokyo, Japan, †Sony Europe B.V., Stuttgart, Germany (2021)

MUSIC SOURCE SEPARATION WITH DEEP LEARNING (presentation) [PDF]

Jordi Pons (2020)

MUSIC SOURCE SEPARATION WITH DEEP LEARNING (presentation video)

Jordi Pons (2020)

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

Hanyang University Electronic Engineering Graduate Private Project Demo (2019)

MUSIC SOURCE SEPARATION WITH GENERATIVE ADVERSARIAL NETWORK AND WAVEFORM AVERAGING [permalink]

Ryosuke Tanabe, Yuto Ichikawa, Takanori Fujisawa, Masaaki Ikehara, Keio University, EEE Dept, Yokohama, Kanagawa, Japan (2019)

MUSIC SOURCE SEPARATION WITH GENERATIVE FLOW [PDF]

Ge Zhu, Jordan Darefsky, Fei Jiang, Anton Selitskiy and Zhiyao Duan Member, IEEE (2015)

MUSIC SOURCE SEPARATION WITH MLP MIXING OF TIME, FREQUENCY, AND CHANNEL [PDF]

Tomoyasu Nakano, Masataka Goto,National Institute of Advanced Industrial Science and Technology (AIST), Japan (2023)

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)

MUSIC SOURCE SEPARATION WITH BAND-SPLIT ROPE TRANSFORMER [PDF]

Wei-Tsung Lu, Ju-Chiang Wang, Qiuqiang Kong, Yun-Ning Hung, SAMI, ByteDance (2023)