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RESEARCH [SI]
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!
SIGNAL DECOMPOSITION MODELS FOR REAL-TIME INFORMED MUSIC SOURCE SEPARATION (in Spanish) [permalink]
Antonio Jesús Muñoz Montoro, Universidad Jaén (2020)
SIGNAL MODELS FOR MONAURAL SOURCE SEPARATION (slides) [PDF]
Ron Weiss, LabROSA, Columbia University (2007)
SIGNAL PROCESSING METHODS FOR MUSIC SYNCHRONIZATION, AUDIO MATCHING, AND SOURCE SEPARATION [PDF]
Sebastian Ewert, Rheinischen Friedrich-Wilhelms-Universität Bonn, Germany (2012)
SIGNAL SEPARATION BY EFFICIENT COMBINATORIAL OPTIMIZATION [PDF]
Manuel Reyes-Gomez, Nebojsa Jojic, Microsoft Research, Redmond, Washington (2009)
SIGNAL SEPARATION OF MUSICAL INSTRUMENTS [PDF]
Paul Joseph Walmsley, University of Cambridge (2000)
SIGNAL SEPARATION FOR REAL INSTRUMENTS BASED ON SUPERVISED NMF WITH BASIS DEFORMATION (in Japanese) [permalink]
Daichi Kitamura, Hiroshi Saruwatari, Kiyohiro Shikano, NAIST, Kazunobu Kondo, Yu Takahashi, Yamaha (2013)
SIGSEP: OPEN RESOURCES FOR AUDIO SOURCE SEPARATION
(2019)
SIMPLE AND POWERFUL INSTRUMENT MODEL FOR THE SOURCE SEPARATION OF POLYPHONIC MUSIC [PDF]
Kristóf Aczél, István Vajk, Department of Automation and Applied Informatics, Budapest University of Technology and Economics, WSEAS Transactions on Signal Processing (2009)
SIMULATED FORMANT MODELING OF ACCOMPANIED SINGING SIGNALS FOR VOCAL MELODY EXTRACTION [PDF]
Yu-Ren Chien,1,2 Hsin-Min Wang,2 Shyh-Kang Jeng1,3, 1Graduate Institute of Communication Engineering, National Taiwan University, Taiwan, 2Institute of Information Science, Academia Sinica, Taiwan, 3Department of Electrical Engineering, National Taiwan University, Taiwan (2012)
SIMULTANEOUS PROCESSING OF SOUND SOURCE SEPARATION AND MUSICAL INSTRUMENT IDENTIFICATION USING BAYESIAN SPECTRAL MODELING [permalink]
Katsutoshi Itoyama†∗, Masataka Goto‡, Kazunori Komatani†, Tetsuya Ogata†, Hiroshi G. Okuno†, † Graduate School of Informatics, Kyoto University, Japan, ∗ JSPS Research Fellowship for Young Scientists (DC1), ‡ National Institute of Advanced Industrial Science and Technology (AIST), Japan (2011)
SIMULTANEOUS SEPARATION AND SEGMENTATION IN LAYERED MUSIC [PDF]
Prem Seetharaman and Bryan Pardo, Northwestern University (2016)
SIMULTANEOUS SEPARATION AND SEGMENTATION IN LAYERED MUSIC (algorithm and examples) [PDF]
Prem Seetharaman and Bryan Pardo, Northwestern University (2016)
SIMULTANEOUS SEPARATION AND TRANSCRIPTION OF MIXTURES WITH MULTIPLE POLYPHONIC AND PERCUSSIVE INSTRUMENTS [PDF]
Ethan Manilow, Prem Seetharaman, Bryan Pardo, Interactive Audio Lab Northwestern University, Evanston, Illinois, USA (2019)
SINGER FILTER: SPEAKER CONDITIONED MULTI-SINGER SEPARATION [PDF]
Doyeop Kwak, Jaemin Jung, KAIST, Yuseong, Daejeon, South Korea (2022)
SINGER MELODY EXTRACTION IN POLYPHONIC SIGNALS USING SOURCE SEPARATION METHODS [PDF]
Jean-Louis Durrieu, Gaël Richard, Bertrand David, TELECOM ParisTech / CNRS LTCI, Paris, France (2008)
SINGER MELODY EXTRACTION IN POLYPHONIC SIGNALS USING SOURCE SEPARATION METHODS (poster) [PDF]
Jean-Louis Durrieu, Gaël Richard, Bertrand David, TELECOM ParisTech / CNRS LTCI, Paris, France (2008)
SINGER SEPARATION FOR KARAOKE CONTENT GENERATION [PDF]
Hsuan-Yu Chen†, Xuanjun Chen‡, Jyh-Shing Roger Jang‡, †Graduate Institute of Networking and Multimedia, ‡Dept. of Computer Science and Information Engineering, †‡National Taiwan University, Taipei, Taiwan (2021)
SINGING PITCH EXTRACTION AND SINGING VOICE SEPARATION (slides) [PDF]
Chao-Ling Hsu, Multimedia Information Retrieval Lab (MIR), Department of Computer Science, National Tsing Hua University, Taiwan (2011)
SINGING PITCH EXTRACTION BY VOICE VIBRATO/TREMOLO ESTIMATION AND INSTRUMENT PARTIAL DELETION [PDF]
Chao-Ling Hsu, Jyh-Shing Roger Jang, Multimedia Information Retrieval Laboratory, Computer Science Department, National Tsing Hua University,
Hsinchu, Taiwan (2010)
SINGING PITCH EXTRACTION FROM MONAURAL POLYPHONIC SONGS BY CONTEXTUAL AUDIO MODELING AND SINGING HARMONIC ENHANCEMENT [PDF]
Chao-Ling Hsu1, Liang-Yu Chen1, Jyh-Shing Roger Jang1, Hsing-Ji Li2, 1MediaTek-NTHU Joint Lab Dept. of Computer Science, National Tsing Hua Univ., Taiwan, 2Innovative Digitech-Enabled Applications & Services Institute (IDEAS), Institute for Information Industry, Taiwan (2009)
SINGING VOICE ANALYSIS AND EDITING BASED ON MUTUALLY DEPENDENT F0 ESTIMATION AND SOURCE SEPARATION [PDF]
Yukara Ikemiya, Kazuyoshi Yoshii, Katsutoshi Itoyama, Graduate School of Informatics, Kyoto University, Japan (2015)
SINGING VOICE DETECTION IN MUSIC TRACKS USING DIRECT VOICE VIBRATO DETECTION [PDF]
L. Regnier, G. Peeters, IRCAM, Sound Analysis/ Synthesis team, CNRS-STMS, Paris (2009)
SINGING VOICE DETECTION IN POLYPHONIC MUSIC [PDF]
Martín Rocamora, Audio Processing Group, Universidad de la República, Uruguay (2011)
SINGING VOICE DETECTION IN POLYPHONIC MUSIC (examples)
Martín Rocamora, Audio Processing Group, Universidad de la República, Uruguay (2011)
SINGING VOICE DETECTION IN POLYPHONIC MUSIC SIGNALS [PDF]
Pedro Luis Cameira Sollari Allegro, Faculdade de Engenharia da Universidade do Porto, Porto, Portugal (2008)
SINGING VOICE DETECTION WITH DEEP RECURRENT NEURAL NETWORKS [PDF]
Simon Leglaive1,2, Romain Hennequin1, Roland Badeau2, 1 Audionamix, Paris, France, 2 Institut Mines-Télécom, Télécom ParisTech, Paris, France (2015)
SINGING VOICE ENHANCEMENT IN MONAURAL MUSIC SIGNALS BASED ON TWO-STAGE HARMONIC/PERCUSSIVE SOUND SEPARATION ON MULTIPLE RESOLUTION SPECTROGRAMS [permalink]
H. Tachibana, N. Ono, S. Sagayama, Grad. Sch. of Inf. Sci. & Technol., Univ. of Tokyo, Tokyo, Japan (2013)
SINGING VOICE EXTRACTION WITH ATTENTION-BASED SPECTROGRAMS FUSION [PDF]
Hao Shi1, Longbiao Wang1∗, Sheng Li2∗, Chenchen Ding2, Meng Ge1, Nan Li1, Jianwu Dang1,3, Hiroshi Seki4, 1Tianjin Key Laboratory of Cognitive Computing and Application, College of Intelligence and Computing, Tianjin University, Tianjin, China, 2National Institute of Information and Communications Technology (NICT), Kyoto, Japan, 3Japan Advanced Institute of Science and Technology, Ishikawa, Japan, 4Huiyan Technology (Tianjin) Co. Ltd., Tianjin, China (2020)
SINGING VOICE SEPARATION (slides) [PDF]
Gerard Erruz & Manaswi Mishra, MIR course, Master in Sound and Music Computing, Universitat Pompeu Fabra (2017)
SINGING VOICE SEPARATION – A STUDY
Manaswi Mishra, Music Technology Group, Universitat Pompeu Fabra, Barcelona, Spain (2017)
SINGING VOICE SEPARATION: A STUDY ON TRAINING DATA [PDF]
Laure Prétet⋆†, Romain Hennequin⋆, Jimena Royo-Letelier⋆, Andrea Vaglio⋆†,⋆ Deezer R&D, Paris, France, † LTCI, Télécom ParisTech, Université Paris-Saclay, Paris, France (2019)
SINGING VOICE SEPARATION AND PITCH EXTRACTION FROM MONAURAL POLYPHONIC AUDIO MUSIC VIA DNN AND ADAPTIVE PITCH TRACKING [permalink]
Zhe-Cheng Fan and Jyh-Shing Roger Jang, Dept. of Comput. Sci. & Inf. Eng., Nat. Taiwan Univ., Taipei, Taiwan, Chung-Li Lu, Chunghwa Telecom Labs., Taoyuan, Taiwan (2016)
SINGING VOICE SEPARATION AND PITCH EXTRACTION FROM MONAURAL POLYPHONIC AUDIO MUSIC VIA DNN AND ADAPTIVE PITCH TRACKING (slides #29-43) [PDF]
Jyh-Shing Roger Jang, Multimedia Information Retrieval Lab, Dept. of CSIE, National Taiwan University (2016)
Jyh-Shing Roger Jang, Multimedia Information Retrieval Lab, Dept. of CSIE, National Taiwan University (2016)
SINGING VOICE SEPARATION AND VOCAL F0 ESTIMATION BASED ON MUTUAL COMBINATION OF ROBUST PRINCIPAL COMPONENT ANALYSIS AND SUBHARMONIC SUMMATION [PDF]
Yukara Ikemiya, Student Member, IEEE, Katsutoshi Itoyama, Member, IEEE, and Kazuyoshi Yoshii, Member, IEEE (2016)
SINGING VOICE SEPARATION BASED ON NON-VOCAL INDEPENDENT COMPONENT SUBTRACTION AND AMPLITUDE DISCRIMINATION [PDF]
Stratis Sofianos, Aladdin Ariyaeeinia, Richard Polfreman, University of Hertfordshire, Hatfield, UK (2010)
SINGING VOICE SEPARATION BASED ON SPARSE NATURE AND SPECTRAL/TEMPORAL DISCONTINUITY (abstract) [PDF]
Il-Young Jeong, Kyogu Lee, Music and Audio Research Group, Seoul National University (2014)
SINGING VOICE SEPARATION BY HARMONIC MODELING [PDF direct download]
Georgi Dzhambazov, Xavier Serra, Music Technology Group, Universitat Pompeu Fabra, Barcelona, Spain (2016)
SINGING VOICE SEPARATION BY HARMONIC MODELING (poster) [PDF]
Georgi Dzhambazov, Xavier Serra, Music Technology Group, Universitat Pompeu Fabra, Barcelona, Spain (2016)
SINGING VOICE SEPARATION BY LOW-RANK AND SPARSE SPECTROGRAM DECOMPOSITION WITH PRELEARNED DICTIONARIES [permalink]
Shiwei Yu1, Hongjuan Zhang1, and Zhiyao Duan2, 1Department of Mathematics, Shanghai University, Shanghai, P R China, 2Department of Electrical and Computer Engineering, University of Rochester, Rochester, NY, USA (2017)
SINGING VOICE SEPARATION FOR MONO-CHANNEL MUSIC USING NON-NEGATIVE MATRIX FACTORIZATION [permalink]
Angkana Chanrungutai and Chotirat Ann Ratanamahatana, Department of Computer Engineering, Chulalongkorn University, Bangkok Thailand (2008)
SINGING VOICE SEPARATION FROM MONAURAL MUSIC BASED ON KERNEL BACK-FITTING USING BETA-ORDER SPECTRAL AMPLITUDE ESTIMATION [PDF]
Hye-Seung Cho, Jun-Yong Lee, Hyoung-Gook Kim, Kwangwoon University, Seoul, Rep. of Korea (2015)
SINGING VOICE SEPARATION FROM MONAURAL RECORDINGS [PDF]
Yipeng Li, DeLiang Wang, Department of Computer Science and Engineering, The Ohio State University (2006)
SINGING-VOICE SEPARATION FROM MONAURAL RECORDINGS USING DEEP RECURRENT NEURAL NETWORKS [PDF]
Po-Sen Huang, Minje Kim, Mark Hasegawa-Johnson, Paris Smaragdis, 15th International Society for Music Information Retrieval Conference (2014)
SINGING-VOICE SEPARATION FROM MONAURAL RECORDINGS USING EMPIRICAL WAVELET TRANSFORM [permalink]
Anuja R. Neckar, SY Mtech, Dept. of E&TC Engg., College of Engineering, Pune, Madhuri A. Joshi, Dept. of E&TC Engg., College of Engineering, Pune (2017)
SINGING-VOICE SEPARATION FROM MONAURAL RECORDINGS USING ROBUST PRINCIPAL COMPONENT ANALYSIS [PDF]
Po-Sen Huang, Scott Deeann Chen, Paris Smaragdis, Mark Hasegawa-Johnson, University of Illinois at Urbana-Champaign, Department of Electrical and Computer Engineering, Urbana, Illinois (2012)
SINGING-VOICE SEPARATION FROM MONAURAL RECORDINGS USING ROBUST PRINCIPAL COMPONENT ANALYSIS (ICASSP 2012)
Po-Sen Huang, Scott Deeann Chen, Paris Smaragdis, Mark Hasegawa-Johnson, University of Illinois at Urbana-Champaign, Department of Electrical and Computer Engineering, Urbana, Illinois (2012)
SINGING VOICE SEPARATION FROM POLYPHONIC MUSIC ACCOMPANIMENT USING COMPOSITIONAL MODEL [PDF]
Priyanka Umap1, Kirti Chaudhari2, PG Student [Microwave], Dept. of Electronics, AISSMS Engineering College, Pune, Maharashtra, India1, Assistant Professor, Dept. of Electronics, AISSMS Engineering College, Pune, Maharashtra, India 2 (2015)
SINGING VOICE SEPARATION IN MONO-CHANNEL MUSIC [PDF]
Angkana Chanrungutai and Chotirat Ann Ratanamahatana, Department of Computer Engineering, Chulalongkorn University, Pathumwan, Bangkok Thailand (2008)
SINGING VOICE SEPARATION – LITERATURE REVIEW
Gerard Erruz, MIR course, Master in Sound and Music Computing, Universitat Pompeu Fabra (2017)
SINGING VOICE SEPARATION METHOD OF UNET BASED ON SQUEEZE-AND-EXCITATION RESIDUAL GROUP DILATED CONVOLUTION AND DENSE LINEAR GATE [permalink]
Zhang Tianqi, Xiong Tian, Wu Chao, Wen Bin, School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China (2023)
SINGING VOICE SEPARATION SYSTEM DESIGN FOR MONAURAL POLYPHONIC MUSIC SIGNALS [PDF]
Lin Kin Wah Edward, Singapore University of Technology and Design (2017)
SINGING VOICE SEPARATION USING ADAPTIVE WINDOW HARMONIC SINUSOIDAL MODELING [PDF]
Preeti Rao, I.I.T. Bombay, Nagesh Nayak, SensiBol Audio Technologies, Sharath Adavanne, SensiBol Audio Technologies (2014)
SINGING VOICE SEPARATION USING A DEEP CONVOLUTIONAL NEURAL NETWORK TRAINED BY IDEAL BINARY MASK AND CROSS ENTROPY [PDF]
K.W.E Lin, Balamurali B.T., E. Koh, and S. Lui, Singapore University of Technology and Design, Singapore, D. Herremans, Singapore University of Technology and Design, Singapore & Institute for High Performance Computing, A*STAR, Singapore (2018)
SINGING VOICE SEPARATION USING DEEP NEURAL NETWORKS AND F0 ESTIMATION [PDF]
Gerard Roma, Emad M. Grais, Andrew J.R. Simpson, Mark D. Plumbley, Centre for Vision, Speech and Signal Processing. University of Surrey, UK (2016)
SINGING VOICE SEPARATION USING DEEP RECURRENT NEURAL NETWORKS: A COMPREHENSIVE GUIDE TO AUDIO DEEP LEARING IN KERAS [PDF]
Ryan Bhular, Department of Electrical and Computer Engineering, University of Rochester (2019)
SINGING VOICE SEPARATION USING DEEP RECURRENT NEURAL NETWORKS: A COMPREHENSIVE GUIDE TO AUDIO DEEP LEARING IN KERAS (poster) [PDF]
Ryan Bhular, Department of Electrical and Computer Engineering, University of Rochester (2019)
SINGING-VOICE SEPARATION USING DEEP RECURRENT NEURAL NETWORKS [PDF]
Po-Sen Huang†, Minje Kim‡, Mark Hasegawa-Johnson†, Paris Smaragdis†‡§, †Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, USA, ‡Department of Computer Science, University of Illinois at Urbana-Champaign, USA, §Adobe Research, USA (2014)
SINGING VOICE SEPARATION USING INTERPRETABLE DEEP LEARNING [PDF direct download]
Christos Filippidis, Universitat Pompeu Fabra, Barcelona, Spain (2022)
SINGING VOICE SEPARATION USING MONO-CHANNEL MASK [permalink]
Pallavi P. Ingale, Sanjay L. Nalbalwar (2018)
SINGING VOICE SEPARATION USING SPECTRO-TEMPORAL MODULATION FEATURES [PDF]
Frederick Yen, Yin-Jyun Luo, Master Program of SMIT, National Chiao-Tung University, Taiwan, Tai-Shih Chi, Dept. of Elec. & Comp. Engineering, National Chiao-Tung University, Taiwan (2014)
SINGING VOICE SEPARATION USING SPECTRO-TEMPORAL MODULATION FEATURES (video)
Frederick Yen, Yin-Jyun Luo, Master Program of SMIT, National Chiao-Tung University, Taiwan, Tai-Shih Chi, Dept. of Elec. & Comp. Engineering, National Chiao-Tung University, Taiwan (2014)
SINGING VOICE SEPARATION WITH DEEP U-NET CONVOLUTIONAL NETWORKS [PDF]
Andreas Jansson1, 2, Eric Humphrey2, Nicola Montecchio2, Rachel Bittner2, Aparna Kumar2, Tillman Weyde1, 1City, University of London, 2Spotify (2017)
SINGING VOICE SEPARATION WITH PRE-LEARNED DICTIONARY AND RECONSTRUCTED VOICE SPECTROGRAM [PDF]
Chenghong Yang, Hongjuan Zhang, Department of Mathematics, Shanghai University, Shanghai, People’s Republic of China (2020)
SINGLE CHANNEL AUDIO SEPARATION USING DEEP NEURAL NETWORKS AND MATRIX FACTORIZATIONS [PDF]
Di Wu, School of Electrical and Electronic Engineering, Faculty of Science, Agriculture and Engineering, Newcastle University, Newcastle upon Tyne, UK (2017)
SINGLE CHANNEL AUDIO SOURCE SEPARATION [PDF]
Bin. Gao, W.L. Woo, and S.S. Dlay, School of Electrical, Electronic and Computer Engineering, University of Newcastle, Newcastle upon Tyne,
United Kingdom (2008)
SINGLE CHANNEL AUDIO SOURCE SEPARATION BY CLUSTERED NMF [permalink]
Kirbiz, S. ; Elektron. ve Haberlesme Muhendisligi Bolumu, Istanbul Teknik Univ., Istanbul, Turkey ; Gunsel, B. (2014)
SINGLE CHANNEL AUDIO SOURCE SEPARATION USING CONVOLUTIONAL DENOISING AUTOENCODERS [PDF]
Emad M. Grais and Mark D. Plumbley, Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford, UK (2017)
SINGLE-CHANNEL AUDIO SOURCE SEPARATION USING DEEP NEURAL NETWORK ENSEMBLES [permalink]
Emad M. Grais, Gerard Roma, Andrew J. R. Simpson, Mark Plumbley, University of Surrey, Guildford, Surrey, UK (2016)
SINGLE-CHANNEL AUDIO SOURCE SEPARATION WITH NMF: DIVERGENCES, CONSTRAINTS AND ALGORITHMS [PDF]
Cédric Févotte1, Emmanuel Vincent2, and Alexey Ozerov3, 1 CNRS & IRIT, Toulouse, France, 2 Inria, 54600 Villers-lés-Nancy, France, 3 Technicolor, Rennes, France (2017)
SINGLE-CHANNEL AUDIO SOURCES SEPARATION VIA OPTIMUM MASK FILTER [permalink]
Mahdi Fallah, Meysam Asgari, Dept. of Electr. Eng., Amirkabir University of Technology, Tehran, Iran (2009)
SINGLE CHANNEL AUDITORY SOURCE SEPARATION WITH NEURAL NETWORK [PDF direct download]
Zhou Chen, Columbia University, New York, New York, USA (2017)
SINGLE-CHANNEL BLIND SEPARATION USING L1-SPARSE COMPLEX NON-NEGATIVE MATRIX FACTORIZATION FOR ACOUSTIC SIGNALS [permalink]
P. Parathai, W. L. Woo, and S. S. Dlay, School of Electrical and Electronic Engineering, Newcastle University, England, United Kingdom,
Bin Gao, School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, China (2015)
SINGLE CHANNEL BLIND SOURCE SEPARATION [PDF]
Bin Gao, School of Electrical, Electronic and Computer Engineering, Faculty of Science, Agriculture and Engineering, University of Newcastle (2011)
SINGLE CHANNEL BLIND SOURCE SEPARATION BASED ON PROBABILISTIC MATRIX FACTORISATION [permalink]
Han-Gyu Kim1, Gil-Jin Jang2, Jeong-Sik Park3, Yung-Hwan Oh1, Ho-Jin Choi1, 1: School of Computing , KAIST , Daejeon , Republic of Korea ; 2: School of Electronics Engineering , Kyungpook National University , Daegu , Republic of Korea ; 3: Department of Information and Communication Engineering , Yeungnam University , Gyeongsan , Republic of Korea (2017)
SINGLE-CHANNEL BLIND SOURCE SEPARATION FOR SINGING VOICE DETECTION: A COMPARATIVE STUDY [PDF]
Dominique Fourer and Geoffroy Peeters (2018)
SINGLE-CHANNEL BLIND SOURCE SEPARATION OF AUDIO SIGNALS [PDF]
Yevgeni Litvin, Technion - Israel Institute of Technology, Haifa, Israel (2009)
SINGLE CHANNEL BLIND SOURCE SEPARATION USING INDEPENDENT SUBSPACE ANALYSIS [PDF]
Jason Heeris, School of Electrical, Electronic and Computer Engineering, The University of Western Australia (2007)
SINGLE CHANNEL BLIND SOURCE SEPARATION USING THE BEST CHARACTERISTIC BASIS [permalink]
Bin Gao ; Sch. of Electr., Univ. Newcastle upon Tyne, Newcastle upon Tyne ; Woo, W.L. ; Dlay, S.S. (2008)
SINGLE-CHANNEL MIXTURE DECOMPOSITION USING BAYESIAN HARMONIC MODELS [PDF]
Emmanuel Vincent and Mark D. Plumbley, Electronic Engineering Department, Queen Mary, University of London, London, United Kingdom (2006)
SINGLE CHANNEL MUSIC SOUND SEPARATION BASED ON SPECTROGRAM DECOMPOSITION AND NOTE CLASSIFICATION [PDF]
Hafiz Mustafa and Wenwu Wang, Centre for Vision, Speech and Signal Processing (CVSSP), University of Surrey, UK (2010)
SINGLE CHANNEL MUSIC SOURCE SEPARATION BASED ON HARMONIC STRUCTURE ESTIMATION [permalink]
Dongmei Wang ; Sch. of Commun. & Inf. Eng., Shanghai Univ., Shanghai, China ; Qinghua Huang (2009)
SINGLE-CHANNEL MUSIC/SPEECH SEPARATION USING NON-LINEAR MASKS [permalink]
P. Mowlaee1, A. Sayadian2 , M. Sheikhan3 and M. Fallah4, 1,2,4Department of Electrical Engineering, Amirkabir University, Tehran, Iran, 3Islamic Azad University-South Tehran Branch (2008)
SINGLE CHANNEL POLYPHONIC MUSIC SIGNAL SEPARATION BASED ON BAYESIAN HARMONIC MODEL [permalink]
Hui Wang, Ying Wang, Weina Wang, Bing Zhu, Sai Ma, Inf. Eng. Sch., Commun. Univ. of China, Beijing, China (2011)
SINGLE CHANNEL SEPARATION OF VOCALS FROM HARMONIC AND PERCUSSIVE INSTRUMENTS [PDF direct download]
Hatem Deif, Department of Electronic and Computer Engineering, College of Engineering, Design, and Physical Sciences, Brunel University London (2017)
SINGLE-CHANNEL SIGNAL SEPARATION AND DECONVOLUTION WITH GENERATIVE ADVERSARIAL NETWORKS [PDF]
Qiuqiang Kong1 , Yong Xu2 , Wenwu Wang1 , Philip J.B. Jackson1 and Mark D. Plumbley1, 1University of Surrey, Guildford, UK, 2Tencent AI lab, Bellevue, USA (2019)
SINGLE CHANNEL SIGNAL SEPARATION USING MAP-BASED SUBSPACE DECOMPOSITION [PDF]
Gil-Jin Jang†, Te-Won Lee‡, and Yung-Hwan Oh†, †Spoken Language Laboratory, Department of Computer Science, KAIST, South Korea, ‡Institute for Neural Computation, University of California, San Diego (2003)
SINGLE CHANNEL SIGNAL SEPARATION USING MAXIMUM LIKELIHOOD SUBSPACE PROJECTION [PDF]
Gil-Jin Jang1, Te-Won Lee2, and Yung-Hwan Oh1, 1Computer Science Department, KAIST, Daejon, South Korea, 2Institute for Neural Computation, UCSD, La Jolla, California, USA (2003)
SINGLE CHANNEL SIGNAL SEPARATION USING TIME-DOMAIN BASIS FUNCTIONS [PDF]
Gil-Jin Jang1, Te-Won Lee2, Yung-Hwan Oh1, 1Spoken Language Laboratory, CS Division, KAIST, South Korea, 2Institute for Neural Computation, University of California, San Diego, La Jolla, California (2003)
SINGLE CHANNEL SOUND SOURCE SEPARATION COMBINING DELAY ESTIMATION AND THE ADRESS ALGORITHM [permalink]
Leddy, M. ; Audio Res. Group, Dublin Inst. of Technol., Dublin ; Barry, D. ; Dorran, D. ; Coyle, E. (2008)
SINGLE-CHANNEL SOUND SOURCE SEPARATION USING NMF WITH SPARSENESS CONSTRAINTS [permalink]
Shijia Geng, Colby N. Leider, University of Miami, Coral Gables, Florida, USA (2015)
SINGLE CHANNEL SOURCE EXTRACTION USING ADAPTIVE NON-NEGATIVE MATRIX FACTORIZATION (ADAPNMF) [PDF]
Jasreen Kaur1, Shailaja Gaikwad2, P.G. Student, Department of Electronics Engineering, Terna Engineering College, Nerul, Maharashtra, India1, Assistant Professor, Department of Electronics Engineering, Terna Engineering College, Nerul, Maharashtra, India2 (2017)
SINGLE CHANNEL SOURCE SEPARATION BASED ON SPARSE SOURCE OBSERVATION MODEL WITH HARMONIC CONSTRAINT [permalink]
Tomohiro Nakatani, Shoko Araki, NTT Commun. Sci. Labs., NTT Corp., Seika, Japan (2010)
SINGLE-CHANNEL SOURCE SEPARATION OF AUDIO SIGNALS USING BARK SCALE WAVELET PACKET DECOMPOSITION [permalink]
Yevgeni Litvin, Israel Cohen, Department of Electrical Engineering, Technion—Israel Institute of Technology, Technion City, Haifa, Israel (2009)
SINGLE-CHANNEL SOURCE SEPARATION OF SPEECH AND MUSIC USING SHORT-TIME SPECTRAL KURTOSIS [PDF]
Yevgeni Litvin1, Israel Cohen1, and Jacob Benesty2, 1 Department of Electrical Engineering Technion - Israel Institute of Technology, Technion City, Haifa, Israel, 2 INRS-EMT Universite du Quebec, Montreal, Quebec, Canada (2010)
SINGLE-CHANNEL SOURCE SEPARATION USING COMPLEX MATRIX FACTORIZATION [permalink]
King, B.J. ; Univ. of Washington, Seattle, WA, USA ; Atlas, L. (2011)
SINGLE-CHANNEL SOURCE SEPARATION USING EMD-SUBBAND VARIABLE REGULARIZED SPARSE FEATURES [permalink]
Bin Gao, W. L. Woo, and S. S. Dlay, School of Electrical, Electronic and Computer Engineering, Newcastle University, Newcastle upon Tyne, U.K. (2011)
SINGLE CHANNEL SOURCE SEPARATION USING FILTERBANK AND 2D SPARSE MATRIX FACTORIZATION [PDF direct download]
Xiangying Lu1, Bin Gao1, Li Chin Khor1, Wai Lok Woo1, Satnam Dlay1, Wingkuen Ling2, Cheng S. Chin3, 1School of Electrical and Electronic Engineering, Newcastle University, England, UK; 2Faculty of Information Engineering, Guangdong University of Technology, Guangzhou, China; 3School of Marine Science and Technology, Newcastle University, England, UK. (2013)
SINGLE CHANNEL SOURCE SEPARATION USING GRAPH SPARSE NMF AND ADAPTIVE DICTIONARY LEARNING [permalink]
Tuan Pham [a], Yuan-Shan Lee [a], Yan-Bo Lin [a], Yung-Hui [a], Tzu-Chiang Tai [b], Jia-Ching Wang [a], [a] Department of Computer Science and Information Engineering, National Central University, Taoyuan, Taiwan, [b] Department of Computer Science and Information Engineering, Providence University, Taichung, Taiwan (2017)
SINGLE-CHANNEL SOURCE SEPARATION USING NON-NEGATIVE MATRIX FACTORIZATION [PDF]
Mikkel N. Schmidt, Technical University of Denmark, Informatics and Mathematical Modeling, Kongens Lyngby, Denmark (2008)
SINGLE CHANNEL SOURCE SEPARATION USING SHORT-TIME INDEPENDENT COMPONENT ANALYSIS [permalink]
Dan Barry1, Derry FitzGerald2, Eugene Coyle1 and Bob Lawlor3, 1 Digital Audio Research Group, Dublin Institute of Technology, Dublin, Ireland, 2 Dept. Electrical Engineering, Cork Institute of Technology, Cork, Ireland, 3 Dept. of Electronic Engineering, National University of Ireland, Maynooth, Ireland (2005)
SINGLE-CHANNEL SOURCE SEPARATION USING SIMPLIFIED-TRAINING COMPLEX MATRIX FACTORIZATION [permalink]
Brian King ; Dept. of Electr. Eng., Univ. of Washington, Seattle, WA, USA ; Les Atlas (2010)
SINGLE CHANNEL SOURCE SEPARATION USING SMOOTH NONNEGATIVE MATRIX FACTORIZATION WITH MARKOV RANDOM FIELDS [permalink]
Minje Kim, University of Illinois at Urbana-Champaign, Department of Computer Science, Urbana, Illinois, Paris Smaragdis, University of Illinois at Urbana-Champaign and Adobe Systems, Inc. (2013)
SINGLE CHANNEL SOURCE SEPARATION USING STATIC AND DYNAMIC FEATURES IN THE POWER DOMAIN [permalink]
Ilyas Potamitis± and Alexey Ozerov†, ± Department of Music Technology and Acoustics, Technological Educational Institute of Crete, E. Daskalaki - Perivolia, Crete, Greece, † TELECOM-ParisTech / CNRS - LTCI, Signal and Image Processing Department, Paris, France (2008)
SINGLE CHANNEL SOURCE SEPARATION WITH GENERAL STOCHASTIC NETWORKS [PDF]
Matthias Zöhrer and Franz Pernkopf, Signal Processing and Speech Communication Laboratory, Graz University of Technology, Austria (2014)
SINGLE CHANNEL SOURCE SEPARATION WITH ICA-BASED TIME-FREQUENCY DECOMPOSITION
Dariusz Mika 1, Grzegorz Budzik 2, Jerzy Józwik 3, 1 Institute of Technical Sciences and Aviation, The State School of Higher Education in Chelm, Chelm, Poland, 2 Faculty of Mechanical Engineering, Rzeszow University of Technology, Rzeszow, Poland, 3 Faculty of Mechanical Engineering, Lublin University of Technology, Lublin, Poland (2020)
SINGLE CHANNEL SPEECH/MUSIC SEGREGATION BASED ON A NOVEL K-MEANS CLUSTERING SCHEMA [permalink]
Alavinia, S.-H. ; Dept. of Electr. Eng. Sci. & Res. Branch, Islamic Azad Univ., Tehran, Iran ; Razzazi, F. ; Sadjedi, H. (2011)
SINGLE CHANNEL SPEECH-MUSIC SEPARATION USING MATCHING PURSUIT AND SPECTRAL MASKS [PDF]
Emad M. Grais, Hakan Erdogan, Faculty of Engineering and Natural Sciences, Sabanci University, Istanbul (2011)
SINGLE CHANNEL SPEECH MUSIC SEPARATION USING NONNEGATIVE MATRIX FACTORIZATION AND SPECTRAL MASKS [PDF]
Emad M. Grais, Hakan Erdogan, Faculty of Engineering and Natural Sciences, Sabanci University, Orhanli Tuzla, Istanbul (2011)
SINGLE CHANNEL SPEECH MUSIC SEPARATION USING NONNEGATIVE MATRIX FACTORIZATION WITH SLIDING WINDOWS AND SPECTRAL MASKS [PDF]
Emad M. Grais, Hakan Erdogan, Faculty of Engineering and Natural Sciences, Sabanci University, Orhanli Tuzla, Istanbul (2011)
SINGLE-CHANNEL SPEECH SEPARATION BASED ON INSTANTANEOUS FREQUENCY [PDF]
Lingyun Gu, Carnegie Mellon University (2010)
SINGLE-CHANNEL SPEECH SEPARATION USING ORTHOGONAL MATCHING PURSUIT [PDF]
Haiyan Guo, School of Information Science and Engineering, Southeast University, Nanjing, China; College of Engineering, Nanjing Agricultural University, Nanjing, Jiangsu, China, Xiaoxiong Li, Lin Zhou and Zhenyang Wu, School of Information Science and Engineering, Southeast University, Nanjing, China (2014)
SINGLE CHANNEL SPEECH SEPARATION WITH A FRAME-BASED PITCH RANGE ESTIMATION METHOD IN MODULATION FREQUENCY [PDF]
A. Mahmoodzadeh, Speech Proc. Research Lab, ECE Dept., Yazd University, Yazd, Iran, H. R. Abutalebi, Speech Proc. Research Lab, ECE Dept., Yazd University, Yazd, Iran & Idiap Research Institute, Martigny, Switzerland, H. Soltanian-Zadeh, Control and Intelligent Processing Center of Excellence, University of Tehran, Tehran, Iran & Image Analysis Lab., Henry Ford Health System, Detroit, Michigan, USA, H. Sheikhzadeh, EE Dept., Amirkabir University of Technology, Tehran, Iran (2010)
SINGLE-CHANNEL SPEECH SEPARATION WITH MEMORY-ENHANCED RECURRENT NEURAL NETWORKS [permalink]
Felix Weninger1, Florian Eyben1, Björn Schuller2,1, 1 Machine Intelligence & Signal Processing Group, MMK, Technische Universität München, Germany, 2 Department of Computing, Imperial College London, U.K. (2014)
SINGLE CHANNEL VOCAL SEPARATION USING MEDIAN FILTERING AND FACTORISATION TECHNIQUES [PDF]
Derry FitzGerald, Mikel Gainza, Audio Research Group, Dublin Institute of Technology, Dublin, Ireland (2010)
SINGLE MICROPHONE BLIND AUDIO SOURCE SEPARATION USING SHORT+LONG TERM AR MODELING [PDF]
Siouar Bensaid and Dirk Slock, EURECOM, Sophia Antipolis Cedex, France (2010)
SINGLE MICROPHONE SOURCE SEPARATION USING HIGH RESOLUTION SIGNAL RECONSTRUCTION [PDF]
Trausti Kristjansson, Hagai Attias, Machine Learning and Applied Statistics, Microsoft Research, John Hershey, University of California, San Diego, Machine Perception Lab (2004)
SINGLE-MIXTURE AUDIO SOURCE SEPARATION BY SUBSPACE DECOMPOSITION OF HILBERT SPECTRUM [permalink]
Md. Khademul Islam Molla, Graduate School of Information Science and Technology, University of Tokyo, Tokyo, Japan, and Department of Computer Science and Engineering, University of Rajshahi, Rajshahi, Bangladesh, Keikichi Hirose, Graduate School of Information Science and Technology, University of Tokyo, Tokyo, Japan (2007)
SINGLE MIXTURE AUDIO SOURCE SEPARATION USING KLD BASED CLUSTERING OF INDEPENDENT BASIS FUNCTIONS [PDF]
1,3Md. Khademul Islam Molla, 1Keikichi Hirose and 2Nobuaki Minematsu, 1Graduate School of Frontier Sciences, 2Graduate School of Information Science and Technology, The University of Tokyo, Tokyo, Japan, 3Department of Computer Science and Technology, Rajshahi University, Bangladesh (2004)
SINGLE MIXTURE AUDIO SOURCES SEPARATION USING ISA TECHNIQUE IN EMD DOMAIN [permalink]
El Hamdouni, N. ; LRIT, Fac. des Sci., Rabat, Morocco ; Adib, A. (2010)
SINGLE-SENSOR AUDIO SOURCE SEPARATION USING CLASSIFICATION AND ESTIMATION APPROACH AND GARCH MODELING [permalink]
Ari Abramson, Student Member, IEEE, and Israel Cohen, Senior Member, IEEE, Department of Electrical Engineering, Technion-Israel Institute of Technology, Technion City, Haifa, Israel (2008)
SINGLE SENSOR SINGER/MUSIC SEPARATION USING A SOURCE/FILTER MODEL OF THE SINGER VOICE (poster) [PDF]
Jean-Louis Durrieu, Gaël Richard, Bertrand David, TELECOM ParisTech / CNRS LTCI - 46, Paris, France (2008)
SINGLE SENSOR SOURCE SEPARATION USING MULTIPLE-WINDOW STFT REPRESENTATION [PDF]
1Laurent Benaroya, 1Raphaël Blouet, 1Cédric Févotte and 2Israel Cohen, 1 MIST Technologies Research, Paris, France, 2 Department of Electrical Engineering, Technion – Israel Institute of Technology, Technion City, Haifa, Israel (2006)
SiSEC 2015 - Fifth Community-Based Signal Separation Evaluation Campaign
(2015)
SiSEC 2016 - Sixth Community-Based Signal Separation Evaluation Campaign
(2016)
SISEC 2018: STATE OF THE ART IN MUSICAL AUDIO SOURCE SEPARATION - SUBJECTIVE SELECTION OF THE BEST ALGORITHM [PDF]
Dominic Ward1, Russell D. Mason2, Chungeun Kim1, Fabian-Robert Stöter3, Antoine Liutkus3 and Mark D. Plumbley1, CVSSP1 / IoSR2, University of Surrey, Guildford, UK, Inria and LIRMM3, University of Montpellier, France (2018)