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Eck, Doug - Département d'Informatique et recherche opérationnelle, Université de Montréal
Aggregate Features and AdaBoost for Music Classification James Bergstra (bergstrj@iro.umontreal.ca)
Automatic Generation of Social Tags for Music Recommendation
A Network of Relaxation Oscillators that Finds Downbeats in Rhythms
Learning Nonregular Languages: A Comparison of Simple Recurrent Networks
Research Statement Douglas Eck
Metropolis-Hastings Sampling in a FilterBoost Music Classifier Balazs Kegl balazs.kegl@gmail.com
AUTOTAGGING MUSIC USING SUPERVISED MACHINE LEARNING Douglas Eck
Can't Get You Out of My Head: A Connectionist Model of Cyclic Rehearsal
BEAT TRACKING USING AN AUTOCORRELATION PHASE MATRIX Douglas Eck
GEOMETRY IN SOUND: A SPEECH/MUSIC AUDIO CLASSIFIER INSPIRED BY AN IMAGE CLASSIFIER
Finding Downbeats with a Relaxation Oscillator Douglas Eck
A Positive-Evidence Model for Rhythmical Beat Induction Douglas Eck
Learning Musical Structure Directly from Sequences of Music Douglas Eck and Jasmin Lapalme
Autotagger: A Model For Predicting Social Tags from Acoustic Features on Large Music Databases
METER THROUGH SYNCHRONY: PROCESSING RHYTHMICAL PATTERNS WITH RELAXATION
Identifying Metrical and Temporal Structure with an Autocorrelation Phase Matrix
Finding Temporal Structure in Music: Blues Improvisation with LSTM Recurrent Networks
Representing Rhythmic Patterns in a Network of Oscillators
Kalman filters improve LSTM network performance in problems unsolvable by traditional recurrent nets
Finding Meter in Music Using an Autocorrelation Phase Matrix and Shannon Douglas Eck
A Supervised Classification Algorithm For Note Onset Detection
A First Look at Music Composition using LSTM Recurrent Neural Networks
Learning The Long-Term Structure of the Blues
Frame-Level Speech/Music Discrimination using AdaBoost Norman Casagrande
Predicting genre labels for artists using FreeDB James Bergstra, Alexandre Lacoste, and Douglas Eck
ON THE USE OF SPARSE TIME-RELATIVE AUDITORY CODES FOR MUSIC
