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» Hierarchical Hidden Markov Models for Information Extraction
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ICASSP
2011
IEEE
14 years 5 months ago
Utilizing glottal source pulse library for generating improved excitation signal for HMM-based speech synthesis
This paper describes a source modeling method for hidden Markov model (HMM) based speech synthesis for improved naturalness. A speech corpus is rst decomposed into the glottal sou...
Tuomo Raitio, Antti Suni, Hannu Pulakka, Martti Va...
ICPR
2008
IEEE
15 years 8 months ago
Optimal feature weighting for the continuous HMM
We propose new Continuous Hidden Markov Model (CHMM) structure that integrates feature weighting component. We assume that each feature vector could include different subsets of f...
Oualid Missaoui, Hichem Frigui
TSD
2004
Springer
15 years 6 months ago
Slovak Text-to-Speech Synthesis in ARTIC System
Abstract. This paper presents a brand-new Slovak text-to-speech system. It was developed within the framework of ARTIC system (primarily designed to synthesize Czech speech) with r...
Jindrich Matousek, Daniel Tihelka
ICDAR
1999
IEEE
15 years 5 months ago
Document Image Layout Comparison and Classification
This paper describes features and methods for document image comparison and classification at the spatial layout level. The methods are useful for visual similarity based document...
Jianying Hu, Ramanujan S. Kashi, Gordon T. Wilfong
ICMCS
2010
IEEE
164views Multimedia» more  ICMCS 2010»
15 years 1 months ago
Exploiting multimodal data fusion in robust speech recognition
This article introduces automatic speech recognition based on Electro-Magnetic Articulography (EMA). Movements of the tongue, lips, and jaw are tracked by an EMA device, which are...
Panikos Heracleous, Pierre Badin, Gérard Ba...