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» Data pruning for template-based automatic speech recognition
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ICASSP
2010
IEEE
14 years 9 months ago
The effect of lattice pruning on MMIE training
In discriminative training, such as Maximum Mutual Information Estimation (MMIE) training, a word lattice is usually used as a compact representation of many different sentence hy...
Long Qin, Alexander I. Rudnicky
ANLP
2000
169views more  ANLP 2000»
14 years 11 months ago
Named Entity Extraction from Noisy Input: Speech and OCR
In this paper, we analyze the performance of name finding in the context of a variety of automatic speech recognition (ASR) systems and in the context of one optical character rec...
David R. H. Miller, Sean Boisen, Richard M. Schwar...
NAACL
2007
14 years 11 months ago
Virtual Evidence for Training Speech Recognizers Using Partially Labeled Data
Collecting supervised training data for automatic speech recognition (ASR) systems is both time consuming and expensive. In this paper we use the notion of virtual evidence in a g...
Amarnag Subramanya, Jeff A. Bilmes
ECCV
1998
Springer
15 years 1 months ago
Continuous Audio-Visual Speech Recognition
The Multi-Stream automatic speech recognition approach was investigated in this work as a framework for Audio-Visual data fusion and speech recognition. This method presents many ...
Juergen Luettin, Stéphane Dupont
ICMCS
2005
IEEE
147views Multimedia» more  ICMCS 2005»
15 years 3 months ago
Comparing Feature Sets for Acted and Spontaneous Speech in View of Automatic Emotion Recognition
We present a data-mining experiment on feature selection for automatic emotion recognition. Starting from more than 1000 features derived from pitch, energy and MFCC time series, ...
Thurid Vogt, Elisabeth André