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NIPS
2007
13 years 8 months ago
Collective Inference on Markov Models for Modeling Bird Migration
We investigate a family of inference problems on Markov models, where many sample paths are drawn from a Markov chain and partial information is revealed to an observer who attemp...
Daniel Sheldon, M. A. Saleh Elmohamed, Dexter Koze...
NAACL
2003
13 years 8 months ago
A Maximum Entropy Approach to FrameNet Tagging
The development of FrameNet, a large database of semantically annotated sentences, has primed research into statistical methods for semantic tagging. We advance previous work by a...
Michael Fleischman, Eduard H. Hovy
ICASSP
2011
IEEE
12 years 11 months ago
Prosodic control of unit-selection speech synthesis: A probabilistic approach
One problem in concatenative speech synthesis is how to incorporate prosodic factors in the unit selection. Imposing a predicted prosodic target is error-prone and does not benefi...
Christophe Veaux, Xavier Rodet
ISMIR
2004
Springer
236views Music» more  ISMIR 2004»
14 years 23 days ago
Rhythm and Tempo Recognition of Music Performance from a Probabilistic Approach
This paper concerns both rhythm recognition and tempo analysis of expressive music performance based on a probabilistic approach. In rhythm recognition, the modern continuous spee...
Haruto Takeda, Takuya Nishimoto, Shigeki Sagayama
ICML
2003
IEEE
14 years 8 months ago
Hidden Markov Support Vector Machines
This paper presents a novel discriminative learning technique for label sequences based on a combination of the two most successful learning algorithms, Support Vector Machines an...
Yasemin Altun, Ioannis Tsochantaridis, Thomas Hofm...