Douglas Eck

According to our database1, Douglas Eck authored at least 62 papers between 1999 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2018
Enabling Factorized Piano Music Modeling and Generation with the MAESTRO Dataset.
CoRR, 2018

An Improved Relative Self-Attention Mechanism for Transformer with Application to Music Generation.
CoRR, 2018

This Time with Feeling: Learning Expressive Musical Performance.
CoRR, 2018

Learning a Latent Space of Multitrack Measures.
CoRR, 2018

A Hierarchical Latent Vector Model for Learning Long-Term Structure in Music.
CoRR, 2018

Learning via social awareness: improving sketch representations with facial feedback.
CoRR, 2018

Learning Latent Representations of Music to Generate Interactive Musical Palettes.
Proceedings of the Joint Proceedings of the ACM IUI 2018 Workshops co-located with the 23rd ACM Conference on Intelligent User Interfaces (ACM IUI 2018), 2018

A Hierarchical Latent Vector Model for Learning Long-Term Structure in Music.
Proceedings of the 35th International Conference on Machine Learning, 2018

2017
Onsets and Frames: Dual-Objective Piano Transcription.
CoRR, 2017

Improving image generative models with human interactions.
CoRR, 2017

Online and Linear-Time Attention by Enforcing Monotonic Alignments.
CoRR, 2017

A Neural Representation of Sketch Drawings.
CoRR, 2017

Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders.
CoRR, 2017

Learning and Evaluating Musical Features with Deep Autoencoders.
CoRR, 2017

Counterpoint by Convolution.
Proceedings of the 18th International Society for Music Information Retrieval Conference, 2017

Online and Linear-Time Attention by Enforcing Monotonic Alignments.
Proceedings of the 34th International Conference on Machine Learning, 2017

Sequence Tutor: Conservative Fine-Tuning of Sequence Generation Models with KL-control.
Proceedings of the 34th International Conference on Machine Learning, 2017

Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders.
Proceedings of the 34th International Conference on Machine Learning, 2017

Deep Music: Towards Musical Dialogue.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Tuning Recurrent Neural Networks with Reinforcement Learning.
CoRR, 2016

2012
Machine Learning Methods for Music Discovery and Recommendation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Building Musically-relevant Audio Features through Multiple Timescale Representations.
Proceedings of the 13th International Society for Music Information Retrieval Conference, 2012

2011
Contextual tag inference.
TOMCCAP, 2011

The need for music information retrieval with user-centered and multimodal strategies.
Proceedings of the 1st international ACM workshop on Music information retrieval with user-centered and multimodal strategies, Scottsdale, AZ, USA, November 28, 2011

1st international ACM workshop on music information retrieval with user-centered and multimodal strategies (MIRUM).
Proceedings of the 19th International Conference on Multimedia 2011, Scottsdale, AZ, USA, November 28, 2011

Temporal Pooling and Multiscale Learning for Automatic Annotation and Ranking of Music Audio.
Proceedings of the 12th International Society for Music Information Retrieval Conference, 2011

2010
Learning Tags that Vary Within a Song.
Proceedings of the 11th International Society for Music Information Retrieval Conference, 2010

Learning Features from Music Audio with Deep Belief Networks.
Proceedings of the 11th International Society for Music Information Retrieval Conference, 2010

Scalable Genre and Tag Prediction with Spectral Covariance.
Proceedings of the 11th International Society for Music Information Retrieval Conference, 2010

2009
Probabilistic models for melodic prediction.
Artif. Intell., 2009

Towards a musical beat emphasis function.
Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2009

An Infinite Factor Model Hierarchy Via a Noisy-Or Mechanism.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Steerable Playlist Generation by Learning Song Similarity from Radio Station Playlists.
Proceedings of the 10th International Society for Music Information Retrieval Conference, 2009

Automatic Identification of Instrument Classes in Polyphonic and Poly-Instrument Audio.
Proceedings of the 10th International Society for Music Information Retrieval Conference, 2009

Workshop summary: Sparse methods for music audio.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

2008
On the Use of Sparce Time Relative Auditory Codes for Music.
Proceedings of the ISMIR 2008, 2008

A distance model for rhythms.
Proceedings of the Machine Learning, 2008

2007
A Supervised Classification Algorithm for Note Onset Detection.
EURASIP J. Adv. Sig. Proc., 2007

Automatic Generation of Social Tags for Music Recommendation.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Using 3D Visualizations to Explore and Discover Music.
Proceedings of the 8th International Conference on Music Information Retrieval, 2007

Autotagging Music Using Supervised Machine Learning.
Proceedings of the 8th International Conference on Music Information Retrieval, 2007

Beat Tracking using an Autocorrelation Phase Matrix.
Proceedings of the IEEE International Conference on Acoustics, 2007

2006
Aggregate features and ADABOOSTfor music classification.
Machine Learning, 2006

Can't Get You Out of My Head: A Connectionist Model of Cyclic Rehearsal.
Proceedings of the Modeling Communication with Robots and Virtual Humans, 2006

Predicting genre labels for artist using FreeDB.
Proceedings of the ISMIR 2006, 2006

Probabilistic Melodic Harmonization.
Proceedings of the Advances in Artificial Intelligence, 2006

2005
A Probabilistic Model for Chord Progressions.
Proceedings of the ISMIR 2005, 2005

Finding Meter in Music Using An Autocorrelation Phase Matrix and Shannon Entropy.
Proceedings of the ISMIR 2005, 2005

Frame-Level Audio Feature Extraction Using AdaBoost.
Proceedings of the ISMIR 2005, 2005

A graphical model for chord progressions embedded in a psychoacoustic space.
Proceedings of the Machine Learning, 2005

Geometry in sound: a speech/Music audio Classifier Inspired by an Image Classifier.
Proceedings of the 2005 International Computer Music Conference, 2005

2004
Biologically Plausible Speech Recognition with LSTM Neural Nets.
Proceedings of the Biologically Inspired Approaches to Advanced Information Technology, 2004

2003
Kalman filters improve LSTM network performance in problems unsolvable by traditional recurrent nets.
Neural Networks, 2003

2002
Learning Nonregular Languages: A Comparison of Simple Recurrent Networks and LSTM.
Neural Computation, 2002

Finding temporal structure in music: blues improvisation with LSTM recurrent networks.
Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing, 2002

Improving Long-Term Online Prediction with Decoupled Extended Kalman Filters.
Proceedings of the Artificial Neural Networks, 2002

Learning Context Sensitive Languages with LSTM Trained with Kalman Filters.
Proceedings of the Artificial Neural Networks, 2002

Learning the Long-Term Structure of the Blues.
Proceedings of the Artificial Neural Networks, 2002

DEKF-LSTM.
Proceedings of the ESANN 2002, 2002

2001
Applying LSTM to Time Series Predictable through Time-Window Approaches.
Proceedings of the Artificial Neural Networks, 2001

A Network of Relaxation Oscillators that Finds Downbeats in Rhythms.
Proceedings of the Artificial Neural Networks, 2001

1999
Meter as Mechanism: A Neural Network Model that Learns Metrical Patterns.
Connect. Sci., 1999


  Loading...