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» Automatic speech recognition system channel modeling
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FLAIRS
2008
14 years 16 days ago
Learning Dynamic Naive Bayesian Classifiers
Hidden Markov models are a powerful technique to model and classify temporal sequences, such as in speech and gesture recognition. However, defining these models is still an art: ...
Miriam Martínez, Luis Enrique Sucar
MLMI
2007
Springer
14 years 4 months ago
Automatic Decision Detection in Meeting Speech
Abstract. Decision making is an important aspect of meetings in organisational settings, and archives of meeting recordings constitute a valuable source of information about the de...
Pei-yun Hsueh, Johanna D. Moore
ICASSP
2009
IEEE
14 years 5 months ago
Genre effects on automatic sentence segmentation of speech: A comparison of broadcast news and broadcast conversations
We investigate genre effects on the task of automatic sentence segmentation, focusing on two important domains – broadcast news (BN) and broadcast conversation (BC). We employ a...
Jáchym Kolár, Yang Liu, Elizabeth Sh...
ICASSP
2008
IEEE
14 years 4 months ago
Rhetorical-State Hidden Markov Models for extractive speech summarization
We propose an extractive summarization system with a novel non-generative probabilistic framework for speech summarization. One of the most underutilized features in extractive su...
Pascale Fung, Ricky Ho Yin Chan, Justin Jian Zhang
ICMI
2007
Springer
161views Biometrics» more  ICMI 2007»
14 years 4 months ago
Detecting communication errors from visual cues during the system's conversational turn
Automatic detection of communication errors in conversational systems has been explored extensively in the speech community. However, most previous studies have used only acoustic...
Sy Bor Wang, David Demirdjian, Trevor Darrell