monotoSTEREO.info | RESEARCH (F

RESEARCH [F - H]

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!

FACTORIAL SCALED HIDDEN MARKOV MODEL FOR POLYPHONIC AUDIO REPRESENTATION AND SOURCE SEPARATION [permalink]

Alexey Ozerov (1), Cédric Févotte (2) and Maurice Charbit (3), (1) INRIA / IRISA – Rennes, France, (2) CNRS LTCI, Telecom ParisTech, France, (3) Institut Telecom, Telecom ParisTech, France (2009)

FACTORIAL SCALED HIDDEN MARKOV MODEL FOR POLYPHONIC AUDIO REPRESENTATION AND SOURCE SEPARATION (slides) [PDF]

Alexey Ozerov (1), Cédric Févotte (2) and Maurice Charbit (3), (1) INRIA / IRISA – Rennes, France, (2) CNRS LTCI, Telecom ParisTech, France, (3) Institut Telecom, Telecom ParisTech, France (2009)

FACTORIZATION OF OVERLAPPING HARMONIC SOUNDS USING APPROXIMATE MATCHING PURSUIT [PDF]

Steven K. Tjoa, Imagine Research, San Francisco, California, K. J. Ray Liu, University of Maryland, College Park, Maryland (2011)

FAST ACCURACY ESTIMATION OF DEEP LEARNING BASED MULTI-CLASS MUSICAL SOURCE SEPARATION [PDF]

Alexandru Mocanu∗, Benjamin Ricaud, LTS2, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland (2021)

FAST ALGORITHMS FOR INFORMED SOURCE SEPARATION (slides) [PDF]

Augustin Lefèvre (2013)

FAST AND FREE MUSIC SEPARATION WITH DEEZER'S MACHINE LEARNING LIBRARY

Andy Baio, Waxy.org (2019)

FAST MONAURAL SEPARATION OF SPEECH [permalink]

Niels Henrik Pontoppidan and Mads Dyrholm, Technical University of Denmark, Informatics and Mathematical Modelling, Lyngby, Denmark (2003)

FAST MUSIC SOURCE SEPARATION

Leonardo Pepino, Universidad Nacional de Tres de Febrero (2019)

FAST MUSIC SOURCE SEPARATION (Prototype - Demo video)

Leonardo Pepino, Universidad Nacional de Tres de Febrero (2019)

FC-U2-NET: A NOVEL DEEP NEURAL NETWORK FOR SINGING VOICE SEPARATION [permalink]

Xin Ni and Jia Ren, School of Faculty of Mechanical Engineering and Automation, Zhejiang Sci-Tech University, Hangzhou, China (2022)

FEATURE-INFORMED LATENT SPACE REGULARIZATION FOR MUSIC SOURCE SEPARATION [PDF]

Yun-Ning Hung, Alexander Lerch, Music Informatics Group, Georgia Institute of Technology, Atlanta, Georgia, USA (2022)

FEATURE-INFORMED LATENT SPACE REGULARIZATION FOR MUSIC SOURCE SEPARATION (video)

Yun-Ning Hung, Alexander Lerch, Music Informatics Group, Georgia Institute of Technology, Atlanta, Georgia, USA (2022)

FEATURE-INFORMED MUSIC SOURCE SEPARATION (poster) [PDF]

Yun-Ning (Amy) Hung, Alexander Lerch, Georgia Institute of Technology, Atlanta, Georgia, USA (2022)

FEATURE SPACE RECONSTRUCTION FOR SINGLE-CHANNEL SPEECH SEPARATION [PDF]

Mikkel N. Schmidt, Student Member, IEEE, Rasmus K. Olsson, Student Member, IEEE Technical University of Denmark, Lyngby, Denmark (2007)

FEW-SHOT MUSICAL SOURCE SEPARATION [PDF]

Yu Wang♯∗, Daniel Stoller♭, Rachel M. Bittner♭, Juan Pablo Bello♯, ♯Music and Audio Research Laboratory, New York University, NY, USA, ♭Spotify, New York, NY, USA (2022)

FILTERING OUT TIME-FREQUENCY AREAS USING GABOR MULTIPLIERS [PDF]

A. Marina Krémé 1,2, Valentin Emiya2 , Caroline Chaux 1 and Bruno Torrésani 1, 1 Aix Marseille Univ, CNRS, Centrale Marseille, I2M, Marseille, France 2Aix Marseille Univ, Universite ́ de Toulon, CNRS, LIS, Marseille, France (2020)

FINDING STRENGTH IN WEAKNESS: LEARNING TO SEPARATE SOUNDS WITH WEAK SUPERVISION [PDF]

Fatemeh Pishdadian, Interactive Audio Lab, Northwestern University, Evanston, Illinois, USA, Gordon Wichern & Jonathan Le Roux, Mitsubishi Electric Research Laboratories (MERL), Cambridge, Massachusetts, USA (2019)

FOREGROUND-BACKGROUND AMBIENT SOUND SCENE SEPARATION [PDF]

Michel Olvera∗, Emmanuel Vincent∗, Romain Serizel∗ and Gilles Gasso†, ∗Université de Lorraine, CNRS, Inria, Loria, F-54000 Nancy, France

†LITIS EA 4108, Université & INSA Rouen Normandie, 76800 Saint-Étienne du Rouvray, France (2020)

FREQUENCY DOMAIN SOURCE SEPARATION (slides)

Wenwu Wang, Centre for Vision, Speech and Signal Processing, Department of Electronic Engineering, University of Surrey, Guildford, UK (2015)

FREQUENCY, PHASE AND AMPLITUDE ESTIMATION OF OVERLAPPING PARTIALS IN MONAURAL MUSICAL SIGNALS [PDF]

Marco Fabiani, Dept. of Speech, Music and Hearing (TMH), School of Computer Science and Communication (CSC), Royal Institute of Technology (KTH), Stockholm, Sweden (2010)

FROM BLIND TO GUIDED AUDIO SOURCE SEPARATION: HOW MODELS AND SIDE INFORMATION CAN IMPROVE THE SEPARATION OF SOUND [PDF]

Emmanuel Vincent1, Nancy Bertin2, Rémi Gribonval3, and Frédéric Bimbot2, 1Inria, Villers-lès-Nancy, France, 2CNRS, IRISA – UMR, Rennes Cedex, France, 3Inria, Rennes Cedex, France (2014)

FROM LEARNING MUSIC TO LEARNING TO SEPARATE [PDF]

Paris Smaragdis, Mitsubishi Electric Research Laboratories, Cambridge, Massachusetts, USA (2005)

FROM NOTE-LEVEL TO CHORD-LEVEL NEURAL NETWORK MODELS FOR VOICE SEPARATION IN SYMBOLIC MUSIC [PDF]

Patrick Gray and Razvan Bunescu, School of Electrical Engineering and Computer Science Ohio University, Athens, Ohio, USA (2020)

FROM SPARSE MODELS TO TIMBRE LEARNING: NEW METHODS FOR MUSICAL SOURCE SEPARATION [PDF]

Juan José Burred, Technische Universität Berlin (2009)

FULLY COMPLEX DEEP NEURAL NETWORK FOR PHASE-INCORPORATING MONAURAL SOURCE SEPARATION [permalink]

Yuan-Shan Lee1, Chien-Yao Wang1, Shu-Fan Wang1, Jia-Ching Wang1, and Chung-Hsien Wu2, 1Department of Computer Science & Information Engineering, National Central University, Taiwan, 2Department of Computer Science & Information Engineering, National Cheng Kung University, Taiwan (2017)

FULLY COMPLEX DEEP NEURAL NETWORK FOR PHASE-INCORPORATING MONAURAL SOURCE SEPARATION (poster) [PDF direct download]

FUSION METHODS FOR AUDIO SOURCE SEPARATION [PDF]

Xabier Jaureguiberry, Emmanuel Vincent, Gäel Richard <hal-01120685> (2014)

GABOR FILTERS BASED SEGMENTATION FOR MONAURAL SOUND SEGREGATION [permalink]

Ersan Gunes, Muhittin Gökmen, Istanbul Technical University, Istanbul, Turkey (2007)

GAIN ESTIMATION APPROACHES IN CATALOG-BASED SINGLE-CHANNEL SPEECH-MUSIC SEPARATION [PDF]

Cemil Demir 1,3, Ali Taylan Cemgil 2, Murat Saraclar 3, 1 TÜBİTAK-BİLGEM, Kocaeli, Turkey, 2 Computer Engineering Department, Boğaziçi University, Istanbul, Turkey, 3 Electrical-Electronics Engineering Department, Boğaziçi University, Istanbul, Turkey (2011)

GAN FOR AUDIO SOURCE SEPARATION [PDF]

Shaotian Chen and Yueyi Yao, ECE Department, University of Rochester, Haikang Tan, AME Department, University of Rochester (2019)

GAN FOR AUDIO SOURCE SEPARATION (poster) [PDF]

Shaotian Chen and Yueyi Yao, ECE Department, University of Rochester, Haikang Tan, AME Department, University of Rochester (2019)

GAUSSIAN MIXTURE GAIN PRIORS FOR REGULARIZED NONNEGATIVE MATRIX FACTORIZATION IN SINGLE-CHANNEL SOURCE SEPARATION [PDF]

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

GAUSSIAN MIXTURE MODELS FOR SCORE-INFORMED INSTRUMENT SEPARATION [permalink]

Pablo Sprechmann,1 Pablo Cancela,2 and Guillermo Sapiro1, 1University of Minnesota, USA; 2Universidad de la República, Uruguay (2012)

GENERALIZATION CHALLENGES FOR NEURAL ARCHITECTURES IN AUDIO SOURCE SEPARATION [PDF]

Shariq Mobin * 1 2 , Brian Cheung * 1 2, Bruno Olshausen 1 2, *Equal contribution, 1Redwood Center for Theoretical Neuroscience, 2University of California Berkeley (2018)

GENERALIZED CONSTRAINTS FOR NMF WITH APPLICATION TO INFORMED SOURCE SEPARATION [PDF]

Christian Rohlfing and Julian M. Becker Institut für Nachrichtentechnik, RWTH Aachen University, Aachen, Germany (2016)

GENERALIZED WIENER FILTERING WITH FRACTIONAL POWER SPECTROGRAMS [PDF]

Antoine Liutkus1, Roland Badeau2, 1Inria, Speech processing team, Villers-lès-Nancy, France, 2Institut Mines-Télécom, Télécom ParisTech, CNRS LTCI, France <hal-01110028> (2015)

GENERATING DATA TO TRAIN CONVOLUTIONAL NEURAL NETWORKS FOR CLASSICAL MUSIC SOURCE SEPARATION [PDF]

Marius Miron, Jordi Janer, Emilia Gómez, Music Technology Group, Universitat Pompeu Fabra, Barcelona (2017)

GENERATING DATA TO TRAIN CONVOLUTIONAL NEURAL NETWORKS FOR CLASSICAL MUSIC SOURCE SEPARATION (slides)

Marius Miron, Jordi Janer, Emilia Gómez, Music Technology Group, Universitat Pompeu Fabra, Barcelona (2017)

GENERATIVE ADVERSARIAL NETWORK-BASED APPROACH TO SIGNAL RECONSTRUCTION FROM MAGNITUDE SPECTROGRAMS [PDF]

Keisuke Oyamada*, Hirokazu Kameoka†, Takuhiro Kaneko†, Kou Tanaka†, Nobukatsu Hojo†, Hiroyasu Ando*, *University of Tsukuba, Japan, †NTT Communication Science Laboratories, NTT Corporation, Japan (2018)

GENERATIVE ADVERSARIAL SOURCE SEPARATION [PDF]

Y.Cem Subakan♭, Paris Smaragdis♭,♯, ♭UIUC, ♯Adobe Systems (2017)

GENRE SPECIFIC DICTIONARIES FOR HARMONIC/PERCUSSIVE SOURCE SEPARATION [PDF]

Clément Laroche1,2, Hélène Papadopoulos2, Matthieu Kowalski2,3, Gaël Richard1,1 LTCI, CNRS, Télécom ParisTech, Univ Paris-Saclay, Paris, France,

2 Univ Paris-Sud-CNRS-CentraleSupelec, L2S, Gif-sur-Yvette, France, 3 Parietal project-team, INRIA, CEA-Saclay, France (2016)

GESTALT PRINCIPLES EMERGE WHEN LEARNING UNIVERSAL SOUND SOURCE SEPARATION [permalink]

Han Li, Northwestern Polytechnical University, Xi'an, China, Technische Universität München, Munich, Germany, Kean Chen, Northwestern Polytechnical University, Xi'an, China, Bernhard U. Seeber, Technische Universität München, Munich, Germany (2022)

GOOGLE MIXIT AI-SEPARATION OF UNSUPERVISED LEARNING SOUND SOURCES

Smilegate AI (2020)

GRANULAR RESYNTHESIS FOR SOUND UNMIXING [PDF]

Gunnar Eisenberg, Thomas Sikora, Communication Systems Group, Technical University of Berlin, Germany (2006)

GREEDY PURSUITS ALGORITHMS FOR REPRESENTING AUDIO SIGNALS WITH APPLICATIONS TO COMPRESSION, SOURCE SEPARATION, AND AUDIO FINGERPRINT (slides) [PDF]

Gaël Richard, Télécom ParisTech (2012)

GROUP DELAY BASED MUSIC SOURCE SEPARATION USING DEEP RECURRENT NEURAL NETWORKS [PDF direct download]

Jilt Sebastian and Hema A. Murthy, Department of Computer Science and Engineering, Indian Institute of Technology Madras, Chennai, India (2016)

GUIDED MATCHING PURSUIT AND ITS APPLICATION TO SOUND SOURCE SEPARATION [PDF]

Dimitrios Zantalis, University of York, York, UK (2016)

GUIDING AUDIO SOURCE SEPARATION BY VIDEO OBJECT INFORMATION [permalink]

Sanjeev Parekh, Slim Essid, Alexey Ozerov, Gaël Richard, LTCI, Télécom ParisTech, Université Paris-Saclay, Paris, France, Ngoc Q. K. Duong, Patrick Pérez, Technicolor, Cesson Sévigné, France (2017)

H-SEMANTICS: A HYBRID APPROACH TO SINGING VOICE SEPARATION [permalink]

Stratis Sofianos, Aladdin Ariyaeeinia, Richard Polfreman, Reza Sotudeh, University of Hertfordshire, Hatfield, Hertfordshire, UK; University of Southampton, Southampton, UK (2012)

HARMONIC AND PERCUSSIVE SEPARATION BASED ON NMF AND TONALITY MASK [PDF]

Keunwoo Choi, Sang Bae Chon, and Kyeong-Ok Kang, Journal of ETRI Letter (2012)

HARMONIC AND PERCUSSIVE SEPARATION BASED ON NMF AND TONALITY MASK (sound examples)
Keunwoo Choi (2012)

HARMONIC AND PERCUSSIVE SOURCE SEPARATION USING A CONVOLUTIONAL AUTO ENCODER [PDF]

Wootaek Lim and Taejon Lee, Realistic AV Research Group, Electronics and Telecommunications Research Institute, Daejeon, Korea (2017)

HARMONICITY AND DYNAMICS BASED AUDIO SEPARATION [permalink]

S H Srinivasan, Mohan Kankanhalli, Department of Computer Science, National University of Singapore, Singapore (2003)

HARMONIC MODELING OF SINGING VOICE FOR SOURCE SEPARATION [PDF]

Georgi Dzhambazov, Xavier Serra, Music Technology Group, Universitat Pompeu Fabra, Barcelona, Spain (2016)

HARMONIC-PERCUSSIVE-RESIDUAL SOUND SEPARATION USING THE STRUCTURE TENSOR ON SPECTROGRAMS [PDF]

Richard Füg1, Andreas Niedermeier1, Jonathan Driedger2, Sascha Disch1,2, Meinard Müller2, 1Fraunhofer Institute for Integrated Circuits IIS, Erlangen, Germany, 2International Audio Laboratories Erlangen (2016)

HARMONIC-PERCUSSIVE-RESIDUAL SOUND SEPARATION USING THE STRUCTURE TENSOR ON SPECTROGRAMS (website)

HARMONIC/PERCUSSIVE SEPARATION USING KERNEL ADDITIVE MODELLING [PDF]

Derry FitzGerald, Antoine Liukus, Zafar Rafii, Bryan Pardo, Laurent Daudet, ISSC 2014 / CIICT 2014, Limerick (2014)

HARMONIC/PERCUSSIVE SEPARATION USING MEDIAN FILTERING [PDF]

Derry FitzGerald, Audio Research Group, Dublin Institute of Technology, Dublin, Ireland (2010)

HARMONIC/PERCUSSIVE SOUND SEPARATION BASED ON ANISOTROPIC SMOOTHNESS OF SPECTROGRAMS [permalink]

Hideyuki Tachibana, Meiji University, Tokyo, Japan and Graduate School of Information Science and Technology, The University of Tokyo, Tokyo, Nobutaka Ono, National Institute of Informatics, Tokyo, Japan and Graduate University for Advanced Studies, Tokyo, Japan, Hirokazu Kameoka, NTT Communication Science Laboratory, Kanagawa, Japan and Graduate School of Information Science and Technology, The University of Tokyo, Tokyo, Japan, Shigeki Sagayama, School of Interdisciplinary Mathematical Sciences, Meiji University, Tokyo, Japan and National Institute of Informatics, Tokyo, Japan (2014)

HARMONIC-PERCUSSIVE SOUND SEPARATION USING RHYTHMIC INFORMATION FROM NON-NEGATIVE MATRIX FACTORIZATION IN SINGLE-CHANNEL MUSIC RECORDINGS [PDF]

F.J. Canadas-Quesada1 , D. Fitzgerald2 , P. Vera-Candeas1 , N. Ruiz-Reyes1 ∗, 1 Telecommunication Engineering Department, Higher Polytechnic School of Linares, University of Jaen, Jaen, Spain 2 Cork School of Music, Cork Institute of Technology, Cork, Ireland (2017)

HARMONIC-PERCUSSIVE SOURCE SEPARATION

librosa-gallery (2016-2017)

HARMONIC PERCUSSIVE SOURCE SEPARATION (Lab Course) [PDF]

Prof. Dr. Meinard Müller, Friedrich-Alexander Universität Erlangen-Nürnberg, International Audio Laboratories Erlangen, Lehrstuhl Semantic Audio Processing, Erlangen, Germany (2014)

HARMONIC-PERCUSSIVE SOURCE SEPARATION OF POLYPHONIC MUSIC BY SUPPRESSING IMPULSIVE NOISE EVENTS [PDF]

Gurunath Reddy M, K. Sreenivasa Rao, Partha Pratim Das, Indian Institute of Technology, Kharagpur, India (2018)

HARMONIC-PERCUSSIVE SOURCE SEPARATION USING HARMONICITY AND SPARSITY CONSTRAINTS [PDF]

Jeongsoo Park, Kyogu Lee, Music and Audio Research Group, Seoul National University, Seoul, Republic of Korea (2015)

HARMONIC-PERCUSSIVE SOURCE SEPARATION WITH DEEP NEURAL NETWORKS AND PHASE RECOVERY [PDF]

Konstantinos Drossos∗†, Paul Magron∗†, Stylianos Ioannis Mimilakis∗‡, and Tuomas Virtanen†, †Laboratory of Signal Processing, Tampere University of Technology, Tampere, Finland, ‡Fraunhofer IDMT, Ilmenau, Germany (2018)

HARMONIC-PERCUSSIVE SOURCE SEPARATION WITH DEEP NEURAL NETWORKS AND PHASE RECOVERY (online demo)

HARMONIC SINGLE CHANNEL SOURCE SEPARATION [PDF]

Ishaan Rao, University of Rochester (2013)

HARMONIC SOUND SOURCE SEPARATION USING FIR COMB FILTERS [PDF]

Mikel Gainza, Dublin Institute of Technology, Robert Lawlor, National University of Ireland, Maynooth, Eugene Coyle, Dublin Institute of Technology (2004)

HARMONIC SOURCE SEPARATION USING PRESTORED SPECTRA [permalink]

Mert Bay and James W. Beauchamp, School of Music and Dept. of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign,

Urbana, Illinois (2006)

HARMONIC-TEMPORAL FACTOR DECOMPOSITION FOR UNSUPERVISED MONAURAL SEPARATION OF HARMONIC SOUNDS [PDF]

Tomohiko Nakamura , Member, IEEE, and Hirokazu Kameoka , Senior Member, IEEE (2021)

HARMONIC-TEMPORAL FACTOR DECOMPOSITION INCORPORATING MUSIC PRIOR INFORMATION FOR INFORMED MONAURAL SOURCE SEPARATION [PDF]

Tomohiko Nakamura†, Kotaro Shikata†, Norihiro Takamune†, Hirokazu Kameoka†‡, †Graduate School of Information Science and Technology, The University of Tokyo, ‡NTT Communication Science Laboratories, Nippon Telegraph and Telephone Corporation (2014)

HARMONIC-TEMPORAL FACTOR DECOMPOSITION INCORPORATING MUSIC PRIOR INFORMATION FOR INFORMED MONAURAL SOURCE SEPARATION (video)

HARMONIC-TEMPORAL-TIMBRAL CLUSTERING (HTTC) FOR THE ANALYSIS OF MULTI-INSTRUMENT POLYPHONIC MUSIC SIGNALS [PDF]

Kenichi Miyamoto, Hirokazu Kameoka, Takuya Nishimoto, Nobutaka Ono and Shigeki Sagayama, Graduate School of Information Science and Technology, The University of Tokyo, Hongo, Bunkyo-ku, Tokyo, Japan (2008)

HARMONIC VARIABLE-SIZE DICTIONARY LEARNING FOR MUSIC SOURCE SEPARATION [permalink]

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

HIDDEN MARKOV MODELS AS PRIORS FOR REGULARIZED NONNEGATIVE MATRIX FACTORIZATION IN SINGLE-CHANNEL SOURCE SEPARATION [PDF]

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

HIERARCHICAL MUSICAL INSTRUMENT SEPARATION [PDF]

Ethan Manilow, Gordon Wichern, Jonathan Le Roux, Mitsubishi Electric Research Laboratories (MERL) (2020)

HIERARCHICAL MUSICAL INSTRUMENT SEPARATION (video)

Ethan Manilow, Gordon Wichern, Jonathan Le Roux, Mitsubishi Electric Research Laboratories (MERL) (2020)

HIERARCHIC MODELS OF HEARING FOR SOUND SEPARATION AND RECONSTRUCTION [PDF direct download]

Daniel P W Ellis, Perceptual Computing Section, MIT Media Lab, Cambridge, Massachusetts (1993)

HIERARCHIC TEMPORAL CONVOLUTIONAL NETWORK WITH CROSS-DOMAIN ENCODER FOR MUSIC SOURCE SEPARATION [permalink]

Ying Hu, Yadong Chen, Wenzhong Yang, Liang He, Hao Huang, College of information science and engineering, Xinjiang University, Urumqi, China (2022)

HIGH FREQUENCY MAGNITUDE SPECTROGRAM RECONSTRUCTION FOR MUSIC MIXTURES USING CONVOLUTIONAL AUTOENCODERS [PDF]

Marius Miron, Independent researcher, Matthew E.P. Davies, INESC TEC, Sound and Music Computing Group, Porto, Portugal (2018)

HIGH QUALITY MUSICAL AUDIO SOURCE SEPARATION [PDF]

Joachim Fritsch, Queen Mary University of London, Centre For Digital Music (2012)

HIGH-RESOLUTION REPRESENTATION LEARNING AND RECURRENT NEURAL NETWORK FOR SINGING VOICE SEPARATION [PDF]

Bhuwan Bhattarai1, Yagya Raj Pandeya2,4, You Jie1, Arjun Kumar Lamichhane3, Joonwhoan Lee1, 1Department of Computer Science and Engineering, Jeonbuk National University, Jeonju, South Korea, 2Department of Computer Science and Engineering, Kathmandu University, Dhulikhel, Nepal, 3Central Department of Computer Science and Information Technology, Tribhuvan University, Kirtipur, Nepal, 4Deep AI Nepal under Guru Technology, Kathmandu, Nepal (2022)

HIGH-RESOLUTION SINUSOIDAL ANALYSIS FOR RESOLVING HARMONIC COLLISIONS IN MUSIC AUDIO SIGNAL PROCESSING [PDF]

Andreas F. Ehmann, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA (2011)

HOMOTOPY OPTIMISATION BASED NMF FOR AUDIO SOURCE SEPARATION [permalink]

Sriharsha Koundinya1,2, Abhijit Karmakar1, 1: Integrated Systems Group, CSIR-CEERI, Pilani, Rajasthan, India ; 2: Academy of Scientific and Innovative Research, Chennai, Tamil Nadu, India (2018)

HOW TO IMPLEMENT THE AUDIO SOURCE SEPARATION FUNCTION

Shirley Dai, DZone, Integration Zone, Tutorial (2021)

HOW TO INTEGRATE AUDIO SOURCE SEPARATION AND CLASSIFICATION? (slides) [PDF]

Emmanuel Vincent, METISS Team, Inria Rennes - Bretagne Atlantique (2012)

HTMD-NET: A HYBRID MASKING-DENOISING APPROACH TO TIME-DOMAIN MONAURAL SINGING VOICE SEPARATION [PDF]

Christos Garoufis, Athanasia Zlatintsi, Petros Maragos, School of ECE, NTUA, Athens, Greece (2021)

HYBRID DEEP LEARNING MODEL FOR SINGING VOICE SEPARATION [PDF]

Rusul Amer, Ahmed Al Tmeme, Information and Communication Eng. Dept., Al Khwarizmi Eng. College, University of Baghdad, Iraq (2021)

HYBRID PROJECTIVE NONNEGATIVE MATRIX FACTORIZATION WITH DRUM DICTIONARIES FOR HARMONIC/PERCUSSIVE SOURCE SEPARATION [permalink]

Clément Laroche, LTCI, Télécom ParisTech, University Paris-Saclay, Paris, France, Matthieu Kowalski, Laboratoire des Signaux et Systèmes, Université Paris-Sud, Gif-sur-Yvette, France, Hélène Papadopoulos, Laboratoire des Signaux et Systèmes, Université Paris-Sud, Gif-sur-Yvette, France, Gaël Richard, LTCI, Télécom ParisTech, University Paris-Saclay, Paris, France (2018)

HYBRID SPECTROGRAM AND WAVEFORM SOURCE SEPARATION [PDF]

Alexandre Défossez1, 1 Facebook AI Research (2021)

HYBRID TRANSFORMERS FOR MUSIC SOURCE SEPARATION [PDF]

Simon Rouard, Francisco Massa, Alexandre Défossez, Meta AI (2022)

HYBRID Y-NET ARCHITECTURE FOR SINGING VOICE SEPARATION [PDF]

Rashen Fernando, Pamudu Ranasinghe, Udula Ranasinghe, Janaka Wijayakulasooriya, dept. Electrical & Electronic Eng. University of Peradeniya, Peradeniya, Sri Lanka, Pantaleon Perera, dept. Engineering Mathematics University of Peradeniya Peradeniya, Sri Lanka (2023)

HYPERBOLIC AUDIO SOURCE SEPARATION [PDF]

Darius Petermann1,2, Gordon Wichern1, Aswin Subramanian1, Jonathan Le Roux1, 1Mitsubishi Electric Research Laboratories (MERL), Cambridge, MA, USA, 2Indiana University, Department of Intelligent Systems Engineering, Bloomington, IN, USA (2022)

HYPERBOLIC AUDIO SOURCE SEPARATION - INTERFACE DEMO (video)