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NAACL
2010
14 years 9 months ago
Contextual Information Improves OOV Detection in Speech
Out-of-vocabulary (OOV) words represent an important source of error in large vocabulary continuous speech recognition (LVCSR) systems. These words cause recognition failures, whi...
Carolina Parada, Mark Dredze, Denis Filimonov, Fre...
ICASSP
2010
IEEE
14 years 6 months ago
Unsupervised knowledge acquisition for Extracting Named Entities from speech
This paper presents a Named Entity Recognition (NER) method dedicated to process speech transcriptions. The main principle behind this method is to collect in an unsupervised way ...
Frédéric Béchet, Eric Charton
ICASSP
2010
IEEE
15 years 2 days ago
Information retrieval methods for automatic speech recognition
In this paper, we use information retrieval (IR) techniques to improve a speech recognition (ASR) system. The potential benefits include improved speed, accuracy, and scalability...
Xiaoqiang Xiao, Jasha Droppo, Alex Acero
ICASSP
2010
IEEE
15 years 2 days ago
Integrating monaural and binaural analysis for localizing multiple reverberant sound sources
Localization of simultaneous sound sources in natural environments with only two microphones is a challenging problem. Reverberation degrades performance of localization based exc...
John Woodruff, DeLiang Wang
ICASSP
2010
IEEE
15 years 2 days ago
Subspace Gaussian Mixture Models for speech recognition
We describe an acoustic modeling approach in which all phonetic states share a common Gaussian Mixture Model structure, and the means and mixture weights vary in a subspace of the...
Daniel Povey, Lukas Burget, Mohit Agarwal, Pinar A...