Douglas Eck
homepage:http://www.iro.umontreal.ca/~eckdoug/
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Description

Overall area of research is machine learning in the domain of music. Specific research areas (past and present) include:

  • Measuring music similarity and recommending music (Here is a small demo
  • Music sequence generation. (Here are some examples using LSTM recurrent neural networks)
  • Expression: Realistic Performance Timing and Dynamics
  • Tracking: Finding Beat and Tempo in a Musical Performance
  • Synchronization: Playing with Musicians in Real Time from the SITM project; see below)

For more information, see my publications list, my CV and my research statement. (Note my publications list is not sorted by publication type but the publications in my CV are sorted.)

See also my tech talk at Google on Automatically Tagging Audio Files Using Supervised Learning on Acoustic Features (Video)


Lectures:

lecture
flag Book-Adaptive and Book-Dependent Models to Accelerate Digitization of Early Music
as author at  NIPS Workshop on Music, Brain and Cognition, Whistler 2007 ,
6558 views
  lecture
flag Measuring and Modeling Musical Expression
as author at  NIPS Workshop on Music, Brain and Cognition, Whistler 2007 ,
5184 views