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ICASSP
2011
IEEE
12 years 11 months ago
Multi-class Model M
Model M, a novel class-based exponential language model, has been shown to significantly outperform word n-gram models in state-of-the-art machine translation and speech recognit...
Ahmad Emami, Stanley F. Chen
ICASSP
2011
IEEE
12 years 11 months ago
Arccosine kernels: Acoustic modeling with infinite neural networks
Neural networks are a useful alternative to Gaussian mixture models for acoustic modeling; however, training multilayer networks involves a difficult, nonconvex optimization that...
Chih-Chieh Cheng, Brian Kingsbury
TASLP
2010
169views more  TASLP 2010»
13 years 2 months ago
Integration of Statistical Models for Dictation of Document Translations in a Machine-Aided Human Translation Task
Abstract--This paper presents a model for machine aided human translation (MAHT) that integrates source language text and target language acoustic information to produce the text t...
Aarthi Reddy, Richard C. Rose
ICASSP
2008
IEEE
14 years 2 months ago
Modified polyphone decision tree specialization for porting multilingual Grapheme based ASR systems to new languages
Automatic speech recognition (ASR) systems have been developed only for a very limited number of the estimated 7,000 languages in the world. In order to avoid the evolvement of a ...
Sebastian Stüker
AI
1998
Springer
13 years 12 months ago
Test-Driving TANKA: Evaluating a Semi-automatic System of Text Analysis for Knowledge Acquisition
The evaluation of a large implemented natural language processing system involves more than its application to a common performance task. Such tasks have been used in the message u...
Ken Barker, Sylvain Delisle, Stan Szpakowicz