Douglas Eck

发表

A graphical model for chord progressions embedded in a psychoacoustic space

David Barber, Jean-François Paiement, Douglas Eck, 2005, ICML.

Douglas Eck, Cheng-Zhi Anna Huang, Monica Dinculescu, 2018 .

An Improved Relative Self-Attention Mechanism for Transformer with Application to Music Generation pdf

Douglas Eck, Andrew M. Dai, Cheng-Zhi Anna Huang, 2018, ArXiv.

Finding temporal structure in music: blues improvisation with LSTM recurrent networks

Jürgen Schmidhuber, Douglas Eck, J. Schmidhuber, 2002, Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing.

Improving image generative models with human interactions pdf

Douglas Eck, Andrew Kyle Lampinen, David So, 2017, ArXiv.

The perception of concurrent sound objects through the use of harmonic enhancement: a study of auditory attention

Douglas Eck, Claude Alain, Elena Koulaguina, 2015, Attention, perception & psychophysics.

Generating Music by Fine-Tuning Recurrent Neural Networks with Reinforcement Learning

Douglas Eck, Richard E. Turner, Natasha Jaques, 2016 .

A distance model for rhythms

Jean-François Paiement, Douglas Eck, Samy Bengio, 2008, ICML '08.

Steerable Playlist Generation by Learning Song Similarity from Radio Station Playlists

Paul Lamere, Douglas Eck, Guillaume Desjardins, 2009, ISMIR.

Machine Learning Methods for Music Discovery and Recommendation

Douglas Eck, 2012, ECML/PKDD.

This time with feeling: learning expressive musical performance

Douglas Eck, Karen Simonyan, Sander Dieleman, 2018, Neural Computing and Applications.

Onsets and Frames: Dual-Objective Piano Transcription pdf

Colin Raffel, Douglas Eck, Erich Elsen, 2017, ISMIR.

Scalable Genre and Tag Prediction with Spectral Covariance

Douglas Eck, Michael I. Mandel, James Bergstra, 2010, ISMIR.

A Positive-Evidence Model for Rhythmical Beat Induction

Douglas Eck, D. Eck, 2001 .

Learning Features from Music Audio with Deep Belief Networks

Douglas Eck, Philippe Hamel, P. Hamel, 2010, ISMIR.

Contextual tag inference

Razvan Pascanu, Rossano Schifanella, Douglas Eck, 2011, TOMCCAP.

Comparing LSTM Recurrent Networks with Spiking Recurrent Networks on the Recognition of Spoken Digits.

Douglas Eck, Alex Graves, Juergen Schmidhuber, 2003 .

Frame-Level Speech/Music Discrimination using AdaBoost

Douglas Eck, Balázs Kégl, Norman Casagrande, 2005 .

Kalman filters improve LSTM network performance in problems unsolvable by traditional recurrent nets

Jürgen Schmidhuber, Douglas Eck, Felix A. Gers, 2003, Neural Networks.

Counterpoint by Convolution pdf

Douglas Eck, Cheng-Zhi Anna Huang, Aaron C. Courville, 2019, ISMIR.

A Network of Relaxation Oscillators that Finds Downbeats in Rhythms

Douglas Eck, 2001, ICANN.

Learning and Evaluating Musical Features with Deep Autoencoders pdf

Larry P. Heck, Douglas Eck, Mason Bretan, 2017, ArXiv.

Probabilistic Melodic Harmonization

Jean-François Paiement, Douglas Eck, Samy Bengio, 2006, Canadian Conference on AI.

Building Musically-relevant Audio Features through Multiple Timescale Representations

Douglas Eck, Yoshua Bengio, Philippe Hamel, 2012, ISMIR.

Deep Music: Towards Musical Dialogue

Larry P. Heck, Douglas Eck, Mason Bretan, 2017, AAAI.

Workshop summary: Sparse methods for music audio

Daniel P. W. Ellis, Douglas Eck, Philippe Hamel, 2009, ICML '09.

Acoustic Space Sampling and the Grand Piano in a Non-Anechoic Environment: A Recordist-Centric Approach to the Musical Acoustic Study

Douglas Eck, Brett Leonard, Grzegorz Sikora, 2010 .

A Probabilistic Model for Chord Progressions

Jean-François Paiement, Douglas Eck, Samy Bengio, 2005, ISMIR.

Can't Get You Out of My Head: A Connectionist Model of Cyclic Rehearsal

Douglas Eck, Herbert Jaeger, H. Jaeger, 2006, ZiF Workshop.

Learning Tags that Vary Within a Song

Douglas Eck, Yoshua Bengio, Michael I. Mandel, 2010, ISMIR.

A Generative Model for Distance Patterns in Music

Jean-François Paiement, Douglas Eck, Samy Bengio, 2007 .

Identifying Metrical and Temporal Structure With an Autocorrelation Phase Matrix

Douglas Eck, 2006 .

Learning the Long-Term Structure of the Blues

Jürgen Schmidhuber, Douglas Eck, J. Schmidhuber, 2002, ICANN.

An Infinite Factor Model Hierarchy Via a Noisy-Or Mechanism

Douglas Eck, Yoshua Bengio, Aaron C. Courville, 2009, NIPS.

Tuning Recurrent Neural Networks with Reinforcement Learning pdf

Douglas Eck, Richard E. Turner, Natasha Jaques, 2016, ICLR.

A Neural Representation of Sketch Drawings pdf

Douglas Eck, David Ha, David R Ha, 2017, ICLR.

A Learned Representation for Scalable Vector Graphics

Douglas Eck, Jonathon Shlens, David Ha, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Learning Nonregular Languages: A Comparison of Simple Recurrent Networks and LSTM

Jürgen Schmidhuber, Douglas Eck, Felix A. Gers, 2002, Neural Computation.

Temporal Pooling and Multiscale Learning for Automatic Annotation and Ranking of Music Audio

Douglas Eck, Yoshua Bengio, Philippe Hamel, 2011, ISMIR.

Automatic Identification of Instrument Classes in Polyphonic and Poly-Instrument Audio

Douglas Eck, Philippe Hamel, Sean Wood, 2009, ISMIR.

A Hierarchical Latent Vector Model for Learning Long-Term Structure in Music pdf

Colin Raffel, Douglas Eck, Curtis Hawthorne, 2018, ICML.

Learning Latent Representations of Music to Generate Interactive Musical Palettes

Douglas Eck, Sageev Oore, Adam Roberts, 2018, IUI Workshops.

Towards a musical beat emphasis function

Matthew E. P. Davies, Douglas Eck, Mark D. Plumbley, 2009, 2009 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics.

Finding Meter in Music Using An Autocorrelation Phase Matrix and Shannon Entropy

Douglas Eck, Norman Casagrande, Norman Casagrande, 2005, ISMIR.

Beat Tracking using an Autocorrelation Phase Matrix

Douglas Eck, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Music Transformer

Douglas Eck, Andrew M. Dai, Cheng-Zhi Anna Huang, 2018, 1809.04281.

Learning a Latent Space of Multitrack Measures pdf

Colin Raffel, Douglas Eck, Curtis Hawthorne, 2018, ArXiv.

The need for music information retrieval with user-centered and multimodal strategies

Douglas Eck, George Tzanetakis, Alan Hanjalic, 2011, MIRUM '11.

1st international ACM workshop on music information retrieval with user-centered and multimodal strategies (MIRUM)

Douglas Eck, George Tzanetakis, Meinard Müller, 2011, MM '11.

Geometry in sound: a speech/Music audio Classifier Inspired by an Image Classifier

Douglas Eck, Balázs Kégl, Norman Casagrande, 2005, ICMC.

Probabilistic models for melodic prediction

Jean-François Paiement, Douglas Eck, Samy Bengio, 2009, Artif. Intell..

Identifying the Intersections: User Experience + Research Scientist Collaboration in a Generative Machine Learning Interface

Douglas Eck, Adam Roberts, Sherol Chen, 2019, CHI Extended Abstracts.

A Supervised Classification Algorithm for Note Onset Detection

Douglas Eck, Alexandre Lacoste, Alexandre Lacoste, 2006, EURASIP J. Adv. Signal Process..

Towards Mixed-initiative generation of multi-channel sequential structure

Douglas Eck, Cheng-Zhi Anna Huang, Mark J. Nelson, 2018, ICLR.

Predicting genre labels for artist using FreeDB

Douglas Eck, Alexandre Lacoste, James Bergstra, 2006, ISMIR.

Using 3D Visualizations to Explore and Discover Music

Paul Lamere, Douglas Eck, Paul Lamere, 2007, ISMIR.

Learning via social awareness: improving sketch representations with facial feedback pdf

Douglas Eck, Natasha Jaques, Fred Bertsch, 2018, ICLR.

Learning to Groove with Inverse Sequence Transformations

Douglas Eck, David Bamman, Adam Roberts, 2019, ICML.

Hierarchical Variational Autoencoders for Music

Douglas Eck, Adam Roberts, Jesse Engel, 2017 .

Biologically Plausible Speech Recognition with LSTM Neural Nets

Jürgen Schmidhuber, Douglas Eck, Alex Graves, 2004, BioADIT.

Enabling Factorized Piano Music Modeling and Generation with the MAESTRO Dataset pdf

Douglas Eck, Erich Elsen, Cheng-Zhi Anna Huang, 2018, ICLR.

Aggregate features and ADABOOST for music classification

Douglas Eck, Dumitru Erhan, Balázs Kégl, 2006, Machine Learning.

Joint Attention for Multi-Agent Coordination and Social Learning pdf

Douglas Eck, Natasha Jaques, Aleksandra Faust, 2021, ArXiv.

Deduplicating Training Data Makes Language Models Better pdf

Douglas Eck, Chris Callison-Burch, Daphne Ippolito, 2021, ArXiv.

Meter and Autocorrelation∗

Douglas Eck, 2005 .

A Tempo-Extraction Algorithm Using an Autocorrelation Phase Matrix and Shannon Entropy

Douglas Eck, 2005 .

A Positive-Evidence Model for Classifying Rhythmical Patterns

Douglas Eck, 2000 .