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» Aggregation-based model reduction of a Hidden Markov Model
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ICPR
2010
IEEE
15 years 4 months ago
High-Level Feature Extraction Using SIFT GMMs and Audio Models
—We propose a statistical framework for high-level feature extraction that uses SIFT Gaussian mixture models (GMMs) and audio models. SIFT features were extracted from all the im...
Nakamasa Inoue, Tatsuhiko Saito, Koichi Shinoda, S...
ICASSP
2007
IEEE
15 years 10 months ago
Temporal Modeling of Slide Change in Presentation Videos
We develop a general framework to automatically match electronic slides to the videos of corresponding presentations. Applications include supporting indexing and browsing of educ...
Quanfu Fan, Arnon Amir, Kobus Barnard, Ranjini Swa...
AUSAI
2003
Springer
15 years 7 months ago
Token Identification Using HMM and PPM Models
Hidden markov models (HMMs) and prediction by partial matching models (PPM) have been successfully used in language processing tasks including learning-based token identification. ...
Yingying Wen, Ian H. Witten, Dianhui Wang
INTERSPEECH
2010
14 years 10 months ago
Excitation modeling based on waveform interpolation for HMM-based speech synthesis
It is generally known that a well-designed excitation produces high quality signals in hidden Markov model (HMM)-based speech synthesis systems. This paper proposes a novel techni...
June Sig Sung, Doo Hwa Hong, Kyung Hwan Oh, Nam So...
ICASSP
2011
IEEE
14 years 7 months ago
Subspace pursuit method for kernel-log-linear models
This paper presents a novel method for reducing the dimensionality of kernel spaces. Recently, to maintain the convexity of training, loglinear models without mixtures have been u...
Yotaro Kubo, Simon Wiesler, Ralf Schlüter, He...