Title:    Acoustic Modeling III   (Poster)

Time: Thursday, March 18, 1:00 PM - 3:00 PM

Location:    Exhibit Hall E 5

Chair: Rafid Sukkar    (Lucent Technologies)

1:00 PM    SP-18.1
Connected Digit Recognition Using Short and Long Duration Models
Cristina Chesta, Pietro Laface (Politecnico di Torino), Franco Ravera (CSELT, Torino)
[abstract]  [manuscript]

SP-18.2
Discriminative Training Via Linear Programming
Kishore A Papineni (IBM T. J. Watson Research Center)
[abstract]  [manuscript]

SP-18.3
Refining Tree-Based Clustering by Means of Formal Concept Analysis, Balanced Decision Trees and Automatically Generated Model-Sets
Daniel Willett, Christoph Neukirchen, J�rg Rottland, Gerhard Rigoll (Gerhard-Mercator-University Duisburg)
[abstract]  [manuscript]

SP-18.4
EFFICIENT SPEECH RECOGNITION USING SUBVECTOR QUANTIZATION AND DISCRETE-MIXTURE HMMS
Stavros Tsakalidis (Technical University of Crete), Vassilios Digalakis (Technical University of Crete / SRI International), Leonardo G Neumeyer (SRI International)
[abstract]  [manuscript]

SP-18.5
A UNIFIED APPROACH OF INCORPORATING GENERAL FEATURES IN DECISION TREE BASED ACOUSTIC MODELING
Wolfgang Reichl, Wu Chou (Bell Laboratories, Lucent Technologies)
[abstract]  [manuscript]

SP-18.6
Irrelevant Variability Normalization in Learning HMM State Tying From Data Based on Phonetic Decision-Tree
Qiang Huo, Bin Ma (Department of Computer Science and Information Systems, The University of Hong Kong, Pokfulam Road, Hong Kong)
[abstract]  [manuscript]

SP-18.7
DISCRIMINATIVE SPECTRAL-TEMPORAL MULTI-RESOLUTION FEATURES FOR SPEECH RECOGNITION
Philip McMahon, Naomi Harte, Saeed Vaseghi, Paul McCourt (The Queen�s University of Belfast, Northern Ireland)
[abstract]  [manuscript]

SP-18.8
On the use of Support Vector Machines for Phonetic Classification
Philip R Clarkson (Cambridge University Engineering Department.), Pedro J Moreno (Compaq Computer Corporation, Cambridge Research Lab)
[abstract]  [manuscript]

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Last Update: February 4, 1999 Ingo Höntsch