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ICASSP
2011
IEEE
14 years 10 months ago
Soft frame margin estimation of Gaussian Mixture Models for speaker recognition with sparse training data
—Discriminative Training (DT) methods for acoustic modeling, such as MMI, MCE, and SVM, have been proved effective in speaker recognition. In this paper we propose a DT method fo...
Yan Yin, Qi Li
INTERSPEECH
2010
15 years 1 months ago
Continuous speech recognition with a TF-IDF acoustic model
Information retrieval methods are frequently used for indexing and retrieving spoken documents, and more recently have been proposed for voice-search amongst a pre-defined set of ...
Geoffrey Zweig, Patrick Nguyen, Jasha Droppo, Alex...
ACII
2011
Springer
14 years 6 months ago
A Psychologically-Inspired Match-Score Fusion Model for Video-Based Facial Expression Recognition
Communication between humans is rich in complexity and is not limited to verbal signals; emotions are conveyed with gesture, pose and facial expression. Facial Emotion Recognition ...
Albert Cruz, Bir Bhanu, Songfan Yang
CVPR
2007
IEEE
16 years 9 months ago
Combining Static Classifiers and Class Syntax Models for Logical Entity Recognition in Scanned Historical Documents
Class syntax can be used to 1) model temporal or locational evolvement of class labels of feature observation sequences, 2) correct classification errors of static classifiers if ...
Song Mao, Praveer Mansukhani, George R. Thoma
ITS
2010
Springer
157views Multimedia» more  ITS 2010»
15 years 11 months ago
A Computational Model of Accelerated Future Learning through Feature Recognition
Accelerated future learning, in which learning proceeds more effectively and more rapidly because of prior learning, is considered to be one of the most interesting measures of ro...
Nan Li, William W. Cohen, Kenneth R. Koedinger