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126
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ICASSP
2011
IEEE
14 years 7 months ago
Improved F0 modeling and generation in voice conversion
F0 is an acoustic feature that varies largely from one speaker to another. F0 is characterized by a discontinuity in the transition between voiced and unvoiced sounds that present...
Aki Kunikoshi, Yao Qian, Frank K. Soong, Nobuaki M...
139
Voted
ECAL
2007
Springer
15 years 10 months ago
Improving Agent Localisation Through Stereotypical Motion
Abstract. When bees and wasps leave the nest to forage, they perform orientation or learning flights. This behaviour includes a number of stereotyped flight manoeuvres mediating ...
Bart Baddeley, Andrew Philippides
101
Voted
ICML
2008
IEEE
16 years 4 months ago
An analysis of linear models, linear value-function approximation, and feature selection for reinforcement learning
We show that linear value-function approximation is equivalent to a form of linear model approximation. We then derive a relationship between the model-approximation error and the...
Ronald Parr, Lihong Li, Gavin Taylor, Christopher ...
133
Voted
NIPS
1998
15 years 5 months ago
Probabilistic Modeling for Face Orientation Discrimination: Learning from Labeled and Unlabeled Data
This paper presents probabilistic modeling methods to solve the problem of discriminating between five facial orientations with very little labeled data. Three models are explored...
Shumeet Baluja
113
Voted
NAACL
2007
15 years 5 months ago
First-Order Probabilistic Models for Coreference Resolution
Traditional noun phrase coreference resolution systems represent features only of pairs of noun phrases. In this paper, we propose a machine learning method that enables features ...
Aron Culotta, Michael L. Wick, Andrew McCallum