Shlomo Dubnov

ORCID

Publication Activity (10 Years)

Years Active: 1994-2024
Publications (10 Years): 69

Top Venues

Publications

Gil Geva, Olivier Warusfel, Shlomo Dubnov, Tammuz Dubnov, Amir Amedi, Yacov Hel-Or
Binaural Sound Source Localization Using a Hybrid Time and Frequency Domain Model. ICASSP (2024)
Ke Chen, Yusong Wu, Haohe Liu, Marianna Nezhurina, Taylor Berg-Kirkpatrick, Shlomo Dubnov
MusicLDM: Enhancing Novelty in text-to-music Generation Using Beat-Synchronous mixup Strategies. ICASSP (2024)
Gil Geva, Olivier Warusfel, Shlomo Dubnov, Tammuz Dubnov, Amir Amedi, Yacov Hel-Or
Binaural sound source localization using a hybrid time and frequency domain model. CoRR (2024)
Keren Shao, Ke Chen, Shlomo Dubnov
Music Enhancement with Deep Filters: A Technical Report for The ICASSP 2024 Cadenza Challenge. CoRR (2024)
Vignesh Gokul, Chris Francis, Shlomo Dubnov
Evaluating Co-Creativity using Total Information Flow. CoRR (2024)
Vignesh Gokul, Shlomo Dubnov
PosCUDA: Position based Convolution for Unlearnable Audio Datasets. CoRR (2024)
Devansh Zurale, Shlomo Dubnov
Learning Sub-Dimensional HRTF Representations Towards Individualization Applications - Traditional and Deep Learning Approaches. WASPAA (2023)
Weihan Xu, Julian J. McAuley, Shlomo Dubnov, Hao-Wen Dong
Equipping Pretrained Unconditional Music Transformers with Instrument and Genre Controls. BigData (2023)
Hao-Wen Dong, Ke Chen, Shlomo Dubnov, Julian J. McAuley, Taylor Berg-Kirkpatrick
Multitrack Music Transformer. ICASSP (2023)
Qiuqiang Kong, Ke Chen, Haohe Liu, Xingjian Du, Taylor Berg-Kirkpatrick, Shlomo Dubnov, Mark D. Plumbley
Universal Source Separation with Weakly Labelled Data. CoRR (2023)
Yusong Wu, Ke Chen, Tianyu Zhang, Yuchen Hui, Taylor Berg-Kirkpatrick, Shlomo Dubnov
Large-Scale Contrastive Language-Audio Pretraining with Feature Fusion and Keyword-to-Caption Augmentation. ICASSP (2023)
Keren Shao, Ke Chen, Taylor Berg-Kirkpatrick, Shlomo Dubnov
Towards Improving Harmonic Sensitivity and Prediction Stability for Singing Melody Extraction. CoRR (2023)
Ke Chen, Yusong Wu, Haohe Liu, Marianna Nezhurina, Taylor Berg-Kirkpatrick, Shlomo Dubnov
MusicLDM: Enhancing Novelty in Text-to-Music Generation Using Beat-Synchronous Mixup Strategies. CoRR (2023)
Weihan Xu, Julian J. McAuley, Shlomo Dubnov, Hao-Wen Dong
Equipping Pretrained Unconditional Music Transformers with Instrument and Genre Controls. CoRR (2023)
Paarth Neekhara, Shehzeen Hussain, Rafael Valle, Boris Ginsburg, Rishabh Ranjan, Shlomo Dubnov, Farinaz Koushanfar, Julian J. McAuley
SelfVC: Voice Conversion With Iterative Refinement using Self Transformations. CoRR (2023)
Keren Shao, Ke Chen, Taylor Berg-Kirkpatrick, Shlomo Dubnov
Towards Improving Harmonic Sensitivity and Prediction Stability for Singing Melody Extraction. ISMIR (2023)
Ke Chen, Xingjian Du, Bilei Zhu, Zejun Ma, Taylor Berg-Kirkpatrick, Shlomo Dubnov
HTS-AT: A Hierarchical Token-Semantic Audio Transformer for Sound Classification and Detection. ICASSP (2022)
Ke Chen, Hao-Wen Dong, Yi Luo, Julian J. McAuley, Taylor Berg-Kirkpatrick, Miller S. Puckette, Shlomo Dubnov
Improving Choral Music Separation through Expressive Synthesized Data from Sampled Instruments. CoRR (2022)
Yusong Wu, Ke Chen, Tianyu Zhang, Yuchen Hui, Taylor Berg-Kirkpatrick, Shlomo Dubnov
Large-scale Contrastive Language-Audio Pretraining with Feature Fusion and Keyword-to-Caption Augmentation. CoRR (2022)
Ke Chen, Xingjian Du, Bilei Zhu, Zejun Ma, Taylor Berg-Kirkpatrick, Shlomo Dubnov
Zero-Shot Audio Source Separation through Query-Based Learning from Weakly-Labeled Data. AAAI (2022)
Hao-Wen Dong, Ke Chen, Shlomo Dubnov, Julian J. McAuley, Taylor Berg-Kirkpatrick
Multitrack Music Transformer: Learning Long-Term Dependencies in Music with Diverse Instruments. CoRR (2022)
Ke Chen, Hao-Wen Dong, Yi Luo, Julian J. McAuley, Taylor Berg-Kirkpatrick, Miller S. Puckette, Shlomo Dubnov
Improving Choral Music Separation through Expressive Synthesized Data from Sampled Instruments. ISMIR (2022)
Paarth Neekhara, Shehzeen Hussain, Jinglong Du, Shlomo Dubnov, Farinaz Koushanfar, Julian J. McAuley
Cross-modal Adversarial Reprogramming. WACV (2022)
Ke Chen, Shuai Yu, Cheng-i Wang, Wei Li, Taylor Berg-Kirkpatrick, Shlomo Dubnov
Tonet: Tone-Octave Network for Singing Melody Extraction from Polyphonic Music. ICASSP (2022)
Shlomo Dubnov, Gérard Assayag, Vignesh Gokul
Creative Improvised Interaction with Generative Musical Systems. MIPR (2022)
Shlomo Dubnov
Predictive Quantization and Symbolic Dynamics. Algorithms 15 (12) (2022)
Ke Chen, Shuai Yu, Cheng-i Wang, Wei Li, Taylor Berg-Kirkpatrick, Shlomo Dubnov
TONet: Tone-Octave Network for Singing Melody Extraction from Polyphonic Music. CoRR (2022)
Ke Chen, Xingjian Du, Bilei Zhu, Zejun Ma, Taylor Berg-Kirkpatrick, Shlomo Dubnov
HTS-AT: A Hierarchical Token-Semantic Audio Transformer for Sound Classification and Detection. CoRR (2022)
Ross Greer, Shlomo Dubnov
Restoring Eye Contact to the Virtual Classroom with Machine Learning. CoRR (2021)
Shehzeen Hussain, Paarth Neekhara, Shlomo Dubnov, Julian J. McAuley, Farinaz Koushanfar
WaveGuard: Understanding and Mitigating Audio Adversarial Examples. CoRR (2021)
Eunjeong Stella Koh, Shlomo Dubnov
Comparison and Analysis of Deep Audio Embeddings for Music Emotion Recognition. AffCon@AAAI (2021)
Paarth Neekhara, Shehzeen Hussain, Shlomo Dubnov, Farinaz Koushanfar, Julian J. McAuley
Expressive Neural Voice Cloning. ACML (2021)
Shehzeen Hussain, Paarth Neekhara, Shlomo Dubnov, Julian J. McAuley, Farinaz Koushanfar
WaveGuard: Understanding and Mitigating Audio Adversarial Examples. USENIX Security Symposium (2021)
Vaikkunth Mugunthan, Vignesh Gokul, Lalana Kagal, Shlomo Dubnov
Bias-Free FedGAN. CoRR (2021)
Eunjeong Stella Koh, Shlomo Dubnov
Comparison and Analysis of Deep Audio Embeddings for Music Emotion Recognition. CoRR (2021)
Ke Chen, Xingjian Du, Bilei Zhu, Zejun Ma, Taylor Berg-Kirkpatrick, Shlomo Dubnov
Zero-shot Audio Source Separation through Query-based Learning from Weakly-labeled Data. CoRR (2021)
Vaikkunth Mugunthan, Vignesh Gokul, Lalana Kagal, Shlomo Dubnov
DPD-InfoGAN: Differentially Private Distributed InfoGAN. EuroMLSys@EuroSys (2021)
Ross Greer, Shlomo Dubnov
Restoring Eye Contact to the Virtual Classroom with Machine Learning. CSEDU (1) (2021)
Pauline G. Mouawad, Tammuz Dubnov, Shlomo Dubnov
Robust Detection of COVID-19 in Cough Sounds. SN Comput. Sci. 2 (1) (2021)
Shlomo Dubnov
Deep Music Information Dynamics. CoRR (2021)
Paarth Neekhara, Shehzeen Hussain, Shlomo Dubnov, Farinaz Koushanfar, Julian J. McAuley
Expressive Neural Voice Cloning. CoRR (2021)
Shlomo Dubnov, Kevin Huang, Cheng-i Wang
Towards Cross-Cultural Analysis using Music Information Dynamics. CoRR (2021)
Paarth Neekhara, Shehzeen Hussain, Jinglong Du, Shlomo Dubnov, Farinaz Koushanfar, Julian J. McAuley
Cross-modal Adversarial Reprogramming. CoRR (2021)
Ke Chen, Gus Xia, Shlomo Dubnov
Continuous Melody Generation via Disentangled Short-Term Representations and Structural Conditions. CoRR (2020)
Ke Chen, Cheng-i Wang, Taylor Berg-Kirkpatrick, Shlomo Dubnov
Music SketchNet: Controllable Music Generation via Factorized Representations of Pitch and Rhythm. ISMIR (2020)
Ke Chen, Gus Xia, Shlomo Dubnov
Continuous Melody Generation via Disentangled Short-Term Representations and Structural Conditions. ICSC (2020)
Vaikkunth Mugunthan, Vignesh Gokul, Lalana Kagal, Shlomo Dubnov
DPD-InfoGAN: Differentially Private Distributed InfoGAN. CoRR (2020)
Ke Chen, Cheng-i Wang, Taylor Berg-Kirkpatrick, Shlomo Dubnov
Music SketchNet: Controllable Music Generation via Factorized Representations of Pitch and Rhythm. CoRR (2020)
Vignesh Gokul, Ganesh Prasanna Balakrishnan, Tammuz Dubnov, Shlomo Dubnov
Semantic Interaction with Human Motion Using Query-Based Recombinant Video Synthesis. MIPR (2019)
Paarth Neekhara, Chris Donahue, Miller S. Puckette, Shlomo Dubnov, Julian J. McAuley
Expediting TTS Synthesis with Adversarial Vocoding. CoRR (2019)
Paarth Neekhara, Shehzeen Hussain, Prakhar Pandey, Shlomo Dubnov, Julian J. McAuley, Farinaz Koushanfar
Universal Adversarial Perturbations for Speech Recognition Systems. CoRR (2019)
Shlomo Dubnov
Query-based Deep Improvisation. CoRR (2019)
Shlomo Dubnov
In Fleeting Visions: Deep Neural Music Fickle Play. Creativity & Cognition (2019)
Liliya Tsirulnik, Shlomo Dubnov
Singing Voice Database. SPECOM (2019)
Paarth Neekhara, Shehzeen Hussain, Shlomo Dubnov, Farinaz Koushanfar
Adversarial Reprogramming of Text Classification Neural Networks. EMNLP/IJCNLP (1) (2019)
Paarth Neekhara, Shehzeen Hussain, Prakhar Pandey, Shlomo Dubnov, Julian J. McAuley, Farinaz Koushanfar
Universal Adversarial Perturbations for Speech Recognition Systems. INTERSPEECH (2019)
Paarth Neekhara, Chris Donahue, Miller S. Puckette, Shlomo Dubnov, Julian J. McAuley
Expediting TTS Synthesis with Adversarial Vocoding. INTERSPEECH (2019)
Ke Chen, Weilin Zhang, Shlomo Dubnov, Gus Xia
The Effect of Explicit Structure Encoding of Deep Neural Networks for Symbolic Music Generation. CoRR (2018)
Eunjeong Stella Koh, Shlomo Dubnov, Dustin Wright
Rethinking Recurrent Latent Variable Model for Music Composition. CoRR (2018)
Paarth Neekhara, Shehzeen Hussain, Shlomo Dubnov, Farinaz Koushanfar
Adversarial Reprogramming of Sequence Classification Neural Networks. CoRR (2018)
Eunjeong Stella Koh, Shlomo Dubnov, Dustin Wright
Rethinking Recurrent Latent Variable Model for Music Composition. MMSP (2018)
Colin Zyskowski, Maurício C. de Oliveira, Shlomo Dubnov
An Audience-Responsive Robotic Performance Network. ICSC (2017)
Pauline G. Mouawad, Shlomo Dubnov
Novel Method of Nonlinear Symbolic Dynamics for Semantic Analysis of Auditory Scenes. ICSC (2017)
Cheng-i Wang, Gautham J. Mysore, Shlomo Dubnov
Re-Visiting the Music Segmentation Problem with Crowdsourcing. ISMIR (2017)
Philippe Pasquier, Arne Eigenfeldt, Oliver Bown, Shlomo Dubnov
An Introduction to Musical Metacreation. Comput. Entertain. 14 (2) (2016)
Oliver Bown, Arne Eigenfeldt, Philippe Pasquier, Shlomo Dubnov
Special Issue on Musical Metacreation, Part II. Comput. Entertain. 14 (3) (2016)
Oliver Bown, Arne Eigenfeldt, Philippe Pasquier, Shlomo Dubnov
Special Issue on Musical Metacreation, Part I. Comput. Entertain. 14 (2) (2016)
Hsin-Ming Lin, Shlomo Dubnov
Algorithmic Composition Parameter as Intercultural and Cross-level MIR Feature: The Susceptibility of Melodic Pitch Contour. ICMC (2016)
Cheng-I Wang, Jennifer Hsu, Shlomo Dubnov
Machine Improvisation with Variable Markov Oracle: Toward Guided and Structured Improvisation. Comput. Entertain. 14 (3) (2016)
Cheng-i Wang, Shlomo Dubnov
The Variable Markov Oracle: Algorithms for Human Gesture Applications. IEEE Multim. 22 (4) (2015)
Cheng-i Wang, Jennifer Hsu, Shlomo Dubnov
Music Pattern Discovery with Variable Markov Oracle: A Unified Approach to Symbolic and Audio Representations. ISMIR (2015)
Goni Dubnov, Shlomo Dubnov, Yasushi Kiyoki
Urban network parcellation using graph theoretic approach. ICSC (2015)
Cheng-i Wang, Shlomo Dubnov
Pattern discovery from audio recordings by Variable Markov Oracle: A music information dynamics approach. ICASSP (2015)
Tammuz Dubnov, Zachary Seldess, Shlomo Dubnov
Interactive projection for aerial dance using depth sensing camera. ERVR (2014)
Cheng-i Wang, Shlomo Dubnov
Variable Markov Oracle: A Novel Sequential Data Points Clustering Algorithm with Application to 3D Gesture Query-Matching. ISM (2014)
Mikhail I. Rabinovich, Irma Tristan, Shlomo Dubnov
Nonlinear dynamics of human creativity. SMC (2014)
Cheng-i Wang, Shlomo Dubnov
Guided Music Synthesis with Variable Markov Oracle. MUME@AIIDE (2014)
Mei-Ling Shyu, Giovanni Pilato, Brian Harrington, Shlomo Dubnov
Guest Editors' Introduction. Int. J. Semantic Comput. 7 (4) (2013)
Daniel Shapira, Shlomo Dubnov
DistributeDJ: A Mobile Group Music Making Toolkit. ICSC (2013)
Greg Surges, Shlomo Dubnov
Feature Selection and Composition Using PyOracle. MUME@AIIDE (2013)
Shlomo Dubnov
Characterizing Time Series Variability and Predictability from Information Geometry Dynamics. GSI (2013)
Shlomo Dubnov, Gérard Assayag
Music Design with Audio Oracle Using Information Rate. MUME@AIIDE (2012)
Shlomo Dubnov, Benjamin Stuart-Thompson, Ella Bezberg, Eitan Eliram
Expressions: Inter-professional Culture via Coactive Digital Humanities Platform. Culture and Computing (2011)
Shlomo Dubnov, Gérard Assayag, Arshia Cont
Audio Oracle Analysis of Musical Information Rate. ICSC (2011)
Arshia Cont, Shlomo Dubnov, Gérard Assayag
On the Information Geometry of Audio Streams With Applications to Similarity Computing. IEEE Trans. Speech Audio Process. 19 (4) (2011)
Shlomo Dubnov, Philippe Codognet
Opening the Can: Public Interaction with Ready-Made Contents. ECS (2010)
Shlomo Dubnov, Melvin J. Hinich
Analyzing several musical instrument tones using the randomly modulated periodicity model. Signal Process. 89 (1) (2009)
Shuichi Kurabayashi, Shlomo Dubnov, Yasushi Kiyoki
JoinSee: A Real-Time and Collaborative Hyper-Media System for Participatory Performances in the Opera of Meaning. EJC (2009)
Shlomo Dubnov
Unified View of Prediction and Repetition Structure in Audio Signals With Application to Interest Point Detection. IEEE Trans. Speech Audio Process. 16 (2) (2008)
Shlomo Dubnov, Yasushi Kiyoki
Opera of Meaning: film and music performance with semantic associative search. EJC (2008)
Shlomo Dubnov
Computational Temporal Aesthetics; Relation Between Surprise, Salience and Aesthetics in Music and Audio Signals. ISMIR (2008)
Georges Bloch, Shlomo Dubnov
Introducing video Features and spectral Descriptors in the Omax Improvisation System. ICMC (2008)
Shlomo Dubnov, Gérard Assayag, Arshia Cont
Audio Oracle: a New Algorithm for Fast Learning of audio Structures. ICMC (2007)
Arshia Cont, Shlomo Dubnov, Gérard Assayag
Guidage: a Fast audio Query Guided assemblage. ICMC (2007)
Shlomo Dubnov
Analysis of musical structure in Audio and MIDI signals using information rate. ICMC (2006)
Shlomo Dubnov
Spectral Anticipations. Comput. Music. J. 30 (2) (2006)
Etan Fisher, Joseph Tabrikian, Shlomo Dubnov
Generalized likelihood ratio test for voiced-unvoiced decision in noisy speech using the harmonic model. IEEE Trans. Speech Audio Process. 14 (2) (2006)
Shlomo Dubnov, Stephen McAdams, Roger Reynolds
Structural and affective aspects of music from statistical audio signal analysis. J. Assoc. Inf. Sci. Technol. 57 (11) (2006)
Shlomo Dubnov, Joseph Tabrikian, Miki Arnon-Targan
Speech Source Separation in Convolutive Environments Using Space-Time-Frequency Analysis. EURASIP J. Adv. Signal Process. 2006 (2006)
Arshia Cont, Shlomo Dubnov, Gérard Assayag
Anticipatory Model of Musical Style Imitation Using Collaborative and Competitive Reinforcement Learning. SAB ABiALS (2006)

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Publication Activity (10 Years)

Top Topics

Top Venues

Shlomo Dubnov