default search action
Shlomo Dubnov
Person information
- affiliation: University of California, San Diego, CA, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
- [c83]Keren Shao, Ke Chen, Shlomo Dubnov:
Music Enhancement with Deep Filters: A Technical Report for the ICASSP 2024 Cadenza Challenge. ICASSP Workshops 2024: 119-120 - [c82]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: 1206-1210 - [c81]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: 8821-8825 - [c80]Paarth Neekhara, Shehzeen Samarah Hussain, Rafael Valle, Boris Ginsburg, Rishabh Ranjan, Shlomo Dubnov, Farinaz Koushanfar, Julian J. McAuley:
SelfVC: Voice Conversion With Iterative Refinement using Self Transformations. ICML 2024 - [c79]Nikita Srivatsan, Ke Chen, Shlomo Dubnov, Taylor Berg-Kirkpatrick:
Retrieval Guided Music Captioning via Multimodal Prefixes. IJCAI 2024: 7762-7770 - [i37]Vignesh Gokul, Shlomo Dubnov:
PosCUDA: Position based Convolution for Unlearnable Audio Datasets. CoRR abs/2401.02135 (2024) - [i36]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 abs/2402.03867 (2024) - [i35]Vignesh Gokul, Chris Francis, Shlomo Dubnov:
Evaluating Co-Creativity using Total Information Flow. CoRR abs/2402.06810 (2024) - [i34]Keren Shao, Ke Chen, Shlomo Dubnov:
Music Enhancement with Deep Filters: A Technical Report for The ICASSP 2024 Cadenza Challenge. CoRR abs/2404.11116 (2024) - [i33]Ke Chen, Jiaqi Su, Taylor Berg-Kirkpatrick, Shlomo Dubnov, Zeyu Jin:
Improving Generalization of Speech Separation in Real-World Scenarios: Strategies in Simulation, Optimization, and Evaluation. CoRR abs/2408.16126 (2024) - [i32]Tornike Karchkhadze, Mohammad Rasool Izadi, Ke Chen, Gérard Assayag, Shlomo Dubnov:
Multi-Track MusicLDM: Towards Versatile Music Generation with Latent Diffusion Model. CoRR abs/2409.02845 (2024) - [i31]Ross Greer, Laura Fleig, Shlomo Dubnov:
Creativity and Visual Communication from Machine to Musician: Sharing a Score through a Robotic Camera. CoRR abs/2409.05773 (2024) - [i30]Tornike Karchkhadze, Mohammad Rasool Izadi, Shlomo Dubnov:
Simultaneous Music Separation and Generation Using Multi-Track Latent Diffusion Models. CoRR abs/2409.12346 (2024) - [i29]Weihan Xu, Julian J. McAuley, Taylor Berg-Kirkpatrick, Shlomo Dubnov, Hao-Wen Dong:
Generating Symbolic Music from Natural Language Prompts using an LLM-Enhanced Dataset. CoRR abs/2410.02084 (2024) - 2023
- [c78]Weihan Xu, Julian J. McAuley, Shlomo Dubnov, Hao-Wen Dong:
Equipping Pretrained Unconditional Music Transformers with Instrument and Genre Controls. IEEE Big Data 2023: 4512-4517 - [c77]Hao-Wen Dong, Ke Chen, Shlomo Dubnov, Julian J. McAuley, Taylor Berg-Kirkpatrick:
Multitrack Music Transformer. ICASSP 2023: 1-5 - [c76]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: 1-5 - [c75]Keren Shao, Ke Chen, Taylor Berg-Kirkpatrick, Shlomo Dubnov:
Towards Improving Harmonic Sensitivity and Prediction Stability for Singing Melody Extraction. ISMIR 2023: 657-663 - [c74]Devansh Zurale, Shlomo Dubnov:
Learning Sub-Dimensional HRTF Representations Towards Individualization Applications - Traditional and Deep Learning Approaches. WASPAA 2023: 1-5 - [i28]Qiuqiang Kong, Ke Chen, Haohe Liu, Xingjian Du, Taylor Berg-Kirkpatrick, Shlomo Dubnov, Mark D. Plumbley:
Universal Source Separation with Weakly Labelled Data. CoRR abs/2305.07447 (2023) - [i27]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 abs/2308.01546 (2023) - [i26]Keren Shao, Ke Chen, Taylor Berg-Kirkpatrick, Shlomo Dubnov:
Towards Improving Harmonic Sensitivity and Prediction Stability for Singing Melody Extraction. CoRR abs/2308.02723 (2023) - [i25]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 abs/2310.09653 (2023) - [i24]Weihan Xu, Julian J. McAuley, Shlomo Dubnov, Hao-Wen Dong:
Equipping Pretrained Unconditional Music Transformers with Instrument and Genre Controls. CoRR abs/2311.12257 (2023) - 2022
- [j23]Shlomo Dubnov:
Predictive Quantization and Symbolic Dynamics. Algorithms 15(12): 484 (2022) - [c73]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: 4441-4449 - [c72]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: 621-625 - [c71]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: 646-650 - [c70]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: 726-732 - [c69]Shlomo Dubnov, Gérard Assayag, Vignesh Gokul:
Creative Improvised Interaction with Generative Musical Systems. MIPR 2022: 121-126 - [c68]Paarth Neekhara, Shehzeen Hussain, Jinglong Du, Shlomo Dubnov, Farinaz Koushanfar, Julian J. McAuley:
Cross-modal Adversarial Reprogramming. WACV 2022: 2898-2906 - [i23]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 abs/2202.00874 (2022) - [i22]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 abs/2202.00951 (2022) - [i21]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 abs/2207.06983 (2022) - [i20]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 abs/2209.02871 (2022) - [i19]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 abs/2211.06687 (2022) - 2021
- [j22]Pauline G. Mouawad, Tammuz Dubnov, Shlomo Dubnov:
Robust Detection of COVID-19 in Cough Sounds. SN Comput. Sci. 2(1): 34 (2021) - [c67]Eunjeong Stella Koh, Shlomo Dubnov:
Comparison and Analysis of Deep Audio Embeddings for Music Emotion Recognition. AffCon@AAAI 2021: 15-22 - [c66]Paarth Neekhara, Shehzeen Hussain, Shlomo Dubnov, Farinaz Koushanfar, Julian J. McAuley:
Expressive Neural Voice Cloning. ACML 2021: 252-267 - [c65]Ross Greer, Shlomo Dubnov:
Restoring Eye Contact to the Virtual Classroom with Machine Learning. CSEDU (1) 2021: 698-708 - [c64]Vaikkunth Mugunthan, Vignesh Gokul, Lalana Kagal, Shlomo Dubnov:
DPD-InfoGAN: Differentially Private Distributed InfoGAN. EuroMLSys@EuroSys 2021: 1-6 - [c63]Shehzeen Hussain, Paarth Neekhara, Shlomo Dubnov, Julian J. McAuley, Farinaz Koushanfar:
WaveGuard: Understanding and Mitigating Audio Adversarial Examples. USENIX Security Symposium 2021: 2273-2290 - [i18]Paarth Neekhara, Shehzeen Hussain, Shlomo Dubnov, Farinaz Koushanfar, Julian J. McAuley:
Expressive Neural Voice Cloning. CoRR abs/2102.00151 (2021) - [i17]Shlomo Dubnov:
Deep Music Information Dynamics. CoRR abs/2102.01133 (2021) - [i16]Paarth Neekhara, Shehzeen Hussain, Jinglong Du, Shlomo Dubnov, Farinaz Koushanfar, Julian J. McAuley:
Cross-modal Adversarial Reprogramming. CoRR abs/2102.07325 (2021) - [i15]Shehzeen Hussain, Paarth Neekhara, Shlomo Dubnov, Julian J. McAuley, Farinaz Koushanfar:
WaveGuard: Understanding and Mitigating Audio Adversarial Examples. CoRR abs/2103.03344 (2021) - [i14]Vaikkunth Mugunthan, Vignesh Gokul, Lalana Kagal, Shlomo Dubnov:
Bias-Free FedGAN. CoRR abs/2103.09876 (2021) - [i13]Eunjeong Stella Koh, Shlomo Dubnov:
Comparison and Analysis of Deep Audio Embeddings for Music Emotion Recognition. CoRR abs/2104.06517 (2021) - [i12]Ross Greer, Shlomo Dubnov:
Restoring Eye Contact to the Virtual Classroom with Machine Learning. CoRR abs/2105.10047 (2021) - [i11]Shlomo Dubnov, Kevin Huang, Cheng-i Wang:
Towards Cross-Cultural Analysis using Music Information Dynamics. CoRR abs/2111.12588 (2021) - [i10]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 abs/2112.07891 (2021) - 2020
- [c62]Ke Chen, Cheng-i Wang, Taylor Berg-Kirkpatrick, Shlomo Dubnov:
Music SketchNet: Controllable Music Generation via Factorized Representations of Pitch and Rhythm. ISMIR 2020: 77-84 - [c61]Ke Chen, Gus Xia, Shlomo Dubnov:
Continuous Melody Generation via Disentangled Short-Term Representations and Structural Conditions. ICSC 2020: 128-135 - [i9]Ke Chen, Gus Xia, Shlomo Dubnov:
Continuous Melody Generation via Disentangled Short-Term Representations and Structural Conditions. CoRR abs/2002.02393 (2020) - [i8]Ke Chen, Cheng-i Wang, Taylor Berg-Kirkpatrick, Shlomo Dubnov:
Music SketchNet: Controllable Music Generation via Factorized Representations of Pitch and Rhythm. CoRR abs/2008.01291 (2020) - [i7]Vaikkunth Mugunthan, Vignesh Gokul, Lalana Kagal, Shlomo Dubnov:
DPD-InfoGAN: Differentially Private Distributed InfoGAN. CoRR abs/2010.11398 (2020)
2010 – 2019
- 2019
- [c60]Shlomo Dubnov:
In Fleeting Visions: Deep Neural Music Fickle Play. Creativity & Cognition 2019: 502-507 - [c59]Paarth Neekhara, Shehzeen Hussain, Shlomo Dubnov, Farinaz Koushanfar:
Adversarial Reprogramming of Text Classification Neural Networks. EMNLP/IJCNLP (1) 2019: 5215-5224 - [c58]Paarth Neekhara, Chris Donahue, Miller S. Puckette, Shlomo Dubnov, Julian J. McAuley:
Expediting TTS Synthesis with Adversarial Vocoding. INTERSPEECH 2019: 186-190 - [c57]Paarth Neekhara, Shehzeen Hussain, Prakhar Pandey, Shlomo Dubnov, Julian J. McAuley, Farinaz Koushanfar:
Universal Adversarial Perturbations for Speech Recognition Systems. INTERSPEECH 2019: 481-485 - [c56]Vignesh Gokul, Ganesh Prasanna Balakrishnan, Tammuz Dubnov, Shlomo Dubnov:
Semantic Interaction with Human Motion Using Query-Based Recombinant Video Synthesis. MIPR 2019: 379-382 - [c55]Liliya Tsirulnik, Shlomo Dubnov:
Singing Voice Database. SPECOM 2019: 501-509 - [i6]Paarth Neekhara, Chris Donahue, Miller S. Puckette, Shlomo Dubnov, Julian J. McAuley:
Expediting TTS Synthesis with Adversarial Vocoding. CoRR abs/1904.07944 (2019) - [i5]Paarth Neekhara, Shehzeen Hussain, Prakhar Pandey, Shlomo Dubnov, Julian J. McAuley, Farinaz Koushanfar:
Universal Adversarial Perturbations for Speech Recognition Systems. CoRR abs/1905.03828 (2019) - [i4]Shlomo Dubnov:
Query-based Deep Improvisation. CoRR abs/1906.09155 (2019) - 2018
- [c54]Eunjeong Stella Koh, Shlomo Dubnov, Dustin Wright:
Rethinking Recurrent Latent Variable Model for Music Composition. MMSP 2018: 1-6 - [i3]Paarth Neekhara, Shehzeen Hussain, Shlomo Dubnov, Farinaz Koushanfar:
Adversarial Reprogramming of Sequence Classification Neural Networks. CoRR abs/1809.01829 (2018) - [i2]Eunjeong Stella Koh, Shlomo Dubnov, Dustin Wright:
Rethinking Recurrent Latent Variable Model for Music Composition. CoRR abs/1810.03226 (2018) - [i1]Ke Chen, Weilin Zhang, Shlomo Dubnov, Gus Xia:
The Effect of Explicit Structure Encoding of Deep Neural Networks for Symbolic Music Generation. CoRR abs/1811.08380 (2018) - 2017
- [c53]Cheng-i Wang, Gautham J. Mysore, Shlomo Dubnov:
Re-Visiting the Music Segmentation Problem with Crowdsourcing. ISMIR 2017: 738-744 - [c52]Colin Zyskowski, Maurício C. de Oliveira, Shlomo Dubnov:
An Audience-Responsive Robotic Performance Network. ICSC 2017: 274-275 - [c51]Pauline G. Mouawad, Shlomo Dubnov:
Novel Method of Nonlinear Symbolic Dynamics for Semantic Analysis of Auditory Scenes. ICSC 2017: 433-438 - 2016
- [b2]Shlomo Dubnov, Kevin Burns, Yasushi Kiyoki:
Cross-Cultural Multimedia Computing - Semantic and Aesthetic Modeling. Springer Briefs in Computer Science, Springer 2016, ISBN 978-3-319-42871-0, pp. 1-62 - [j21]Oliver Bown, Arne Eigenfeldt, Philippe Pasquier, Shlomo Dubnov:
Special Issue on Musical Metacreation, Part I. Comput. Entertain. 14(2): 1:1-1:2 (2016) - [j20]Philippe Pasquier, Arne Eigenfeldt, Oliver Bown, Shlomo Dubnov:
An Introduction to Musical Metacreation. Comput. Entertain. 14(2): 2:1-2:14 (2016) - [j19]Oliver Bown, Arne Eigenfeldt, Philippe Pasquier, Shlomo Dubnov:
Special Issue on Musical Metacreation, Part II. Comput. Entertain. 14(3): 1:1-1:3 (2016) - [j18]Cheng-I Wang, Jennifer Hsu, Shlomo Dubnov:
Machine Improvisation with Variable Markov Oracle: Toward Guided and Structured Improvisation. Comput. Entertain. 14(3): 4:1-4:18 (2016) - [c50]Hsin-Ming Lin, Shlomo Dubnov:
Algorithmic Composition Parameter as Intercultural and Cross-level MIR Feature: The Susceptibility of Melodic Pitch Contour. ICMC 2016 - 2015
- [j17]Cheng-i Wang, Shlomo Dubnov:
The Variable Markov Oracle: Algorithms for Human Gesture Applications. IEEE Multim. 22(4): 52-67 (2015) - [c49]Cheng-i Wang, Shlomo Dubnov:
Pattern discovery from audio recordings by Variable Markov Oracle: A music information dynamics approach. ICASSP 2015: 683-687 - [c48]Cheng-i Wang, Jennifer Hsu, Shlomo Dubnov:
Music Pattern Discovery with Variable Markov Oracle: A Unified Approach to Symbolic and Audio Representations. ISMIR 2015: 176-182 - [c47]Goni Dubnov, Shlomo Dubnov, Yasushi Kiyoki:
Urban network parcellation using graph theoretic approach. ICSC 2015: 413-416 - 2014
- [c46]Cheng-i Wang, Shlomo Dubnov:
Guided Music Synthesis with Variable Markov Oracle. MUME@AIIDE 2014 - [c45]Tammuz Dubnov, Zachary Seldess, Shlomo Dubnov:
Interactive projection for aerial dance using depth sensing camera. ERVR 2014: 901202 - [c44]Cheng-i Wang, Shlomo Dubnov:
Variable Markov Oracle: A Novel Sequential Data Points Clustering Algorithm with Application to 3D Gesture Query-Matching. ISM 2014: 215-222 - [c43]Mikhail I. Rabinovich, Irma Tristan, Shlomo Dubnov:
Nonlinear dynamics of human creativity. SMC 2014: 391-398 - [p3]Shlomo Dubnov, Greg Surges:
Delegating Creativity: Use of Musical Algorithms in Machine Listening and Composition. Digital Da Vinci 2014: 127-158 - 2013
- [j16]Mei-Ling Shyu, Giovanni Pilato, Brian Harrington, Shlomo Dubnov:
Guest Editors' Introduction. Int. J. Semantic Comput. 7(4): 349-352 (2013) - [c42]Greg Surges, Shlomo Dubnov:
Feature Selection and Composition Using PyOracle. MUME@AIIDE 2013 - [c41]Shlomo Dubnov:
Characterizing Time Series Variability and Predictability from Information Geometry Dynamics. GSI 2013: 658-665 - [c40]Daniel Shapira, Shlomo Dubnov:
DistributeDJ: A Mobile Group Music Making Toolkit. ICSC 2013: 334-338 - 2012
- [c39]Shlomo Dubnov, Gérard Assayag:
Music Design with Audio Oracle Using Information Rate. MUME@AIIDE 2012 - 2011
- [j15]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): 837-846 (2011) - [c38]Shlomo Dubnov, Benjamin Stuart-Thompson, Ella Bezberg, Eitan Eliram:
Expressions: Inter-professional Culture via Coactive Digital Humanities Platform. Culture and Computing 2011: 171-172 - [c37]Shlomo Dubnov, Gérard Assayag, Arshia Cont:
Audio Oracle Analysis of Musical Information Rate. ICSC 2011: 567-571 - 2010
- [c36]Shlomo Dubnov, Philippe Codognet:
Opening the Can: Public Interaction with Ready-Made Contents. ECS 2010: 179-189 - [p2]Shlomo Dubnov:
Information Dynamics and Aspects of Musical Perception. The Structure of Style 2010: 127-157 - [p1]Gérard Assayag, Georges Bloch, Arshia Cont, Shlomo Dubnov:
Interaction with Machine Improvisation. The Structure of Style 2010: 219-245 - [e1]Shlomo Argamon, Kevin Burns, Shlomo Dubnov:
The Structure of Style - Algorithmic Approaches to Understanding Manner and Meaning. Springer 2010, ISBN 978-3-642-12336-8 [contents]
2000 – 2009
- 2009
- [j14]Shlomo Dubnov, Melvin J. Hinich:
Analyzing several musical instrument tones using the randomly modulated periodicity model. Signal Process. 89(1): 24-30 (2009) - [c35]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: 258-262 - 2008
- [j13]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): 327-337 (2008) - [c34]Shlomo Dubnov, Yasushi Kiyoki:
Opera of Meaning: film and music performance with semantic associative search. EJC 2008: 384-391 - [c33]Georges Bloch, Shlomo Dubnov:
Introducing video Features and spectral Descriptors in the Omax Improvisation System. ICMC 2008 - [c32]Shlomo Dubnov:
Computational Temporal Aesthetics; Relation Between Surprise, Salience and Aesthetics in Music and Audio Signals. ISMIR 2008: 23 - 2007
- [c31]Arshia Cont, Shlomo Dubnov, Gérard Assayag:
Guidage: a Fast audio Query Guided assemblage. ICMC 2007 - [c30]Shlomo Dubnov, Gérard Assayag, Arshia Cont:
Audio Oracle: a New Algorithm for Fast Learning of audio Structures. ICMC 2007 - 2006
- [j12]Shlomo Dubnov:
Spectral Anticipations. Comput. Music. J. 30(2): 63-83 (2006) - [j11]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) - [j10]Shlomo Dubnov, Stephen McAdams, Roger Reynolds:
Structural and affective aspects of music from statistical audio signal analysis. J. Assoc. Inf. Sci. Technol. 57(11): 1526-536 (2006) - [j9]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): 502-510 (2006) - [c29]Shlomo Dubnov:
YASAS - Yet Another Sound Analysis-Synthesis Method. ICMC 2006 - [c28]Shlomo Dubnov:
Analysis of musical structure in Audio and MIDI signals using information rate. ICMC 2006 - [c27]Shlomo Dubnov:
Computer audition: an introduction and research survey. ACM Multimedia 2006: 9 - [c26]Arshia Cont, Shlomo Dubnov, Gérard Assayag:
Anticipatory Model of Musical Style Imitation Using Collaborative and Competitive Reinforcement Learning. SAB ABiALS 2006: 285-306 - 2005
- [j8]Nicholas L. Cassimatis, Sean Luke, Simon D. Levy, Ross W. Gayler, Pentti Kanerva, Chris Eliasmith, Timothy W. Bickmore, Alan C. Schultz, Randall Davis, James A. Landay, Robert C. Miller, Eric Saund, Thomas F. Stahovich, Michael L. Littman, Satinder Singh, Shlomo Argamon, Shlomo Dubnov:
Reports on the 2004 AAAI Fall Symposia. AI Mag. 26(1): 98-102 (2005) - [c25]Pei Xiang, Shlomo Dubnov:
Karaoke System with Spatial Acoustics estimation for vocal or instrumental removal. ICMC 2005 - 2004
- [j7]