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» Data pruning for template-based automatic speech recognition
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CHI
2006
ACM
15 years 10 months ago
The effect of speech recognition accuracy rates on the usefulness and usability of webcast archives
The widespread availability of broadband connections has led to an increase in the use of Internet broadcasting (webcasting). Most webcasts are archived and accessed numerous time...
Cosmin Munteanu, Ronald Baecker, Gerald Penn, Elai...
TASLP
2002
82views more  TASLP 2002»
14 years 9 months ago
Graceful degradation of speech recognition performance over packet-erasure networks
Abstract--This paper explores packet loss recovery for automatic speech recognition (ASR) in spoken dialog systems, assuming an architecture in which a lightweight client communica...
Constantinos Boulis, Mari Ostendorf, Eve A. Riskin...
ICASSP
2009
IEEE
15 years 4 months ago
Maximizing global entropy reduction for active learning in speech recognition
We propose a new active learning algorithm to address the problem of selecting a limited subset of utterances for transcribing from a large amount of unlabeled utterances so that ...
Balakrishnan Varadarajan, Dong Yu, Li Deng, Alex A...
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ICASSP
2009
IEEE
15 years 4 months ago
Using collective information in semi-supervised learning for speech recognition
Training accurate acoustic models typically requires a large amount of transcribed data, which can be expensive to obtain. In this paper, we describe a novel semi-supervised learn...
Balakrishnan Varadarajan, Dong Yu, Li Deng, Alex A...
LREC
2008
128views Education» more  LREC 2008»
14 years 11 months ago
Emotion Recognition from Speech: Stress Experiment
The goal of this work is to introduce an architecture to automatically detect the amount of stress in the speech signal close to real time. For this an experimental setup to recor...
Stefan Scherer, Hansjörg Hofmann, Malte Lampm...