Sciweavers

2047 search results - page 107 / 410
» The limits of speech recognition
Sort
View
NAACL
2007
13 years 10 months ago
Analysis of Morph-Based Speech Recognition and the Modeling of Out-of-Vocabulary Words Across Languages
We analyze subword-based language models (LMs) in large-vocabulary continuous speech recognition across four “morphologically rich” languages: Finnish, Estonian, Turkish, and ...
Mathias Creutz, Teemu Hirsimäki, Mikko Kurimo...
ICASSP
2010
IEEE
13 years 9 months ago
Evaluation of semantic role labeling and dependency parsing of automatic speech recognition output
Semantic role labeling (SRL) is an important module of spoken language understanding systems. This work extends the standard evaluation metrics for joint dependency parsing and SR...
Benoît Favre, Bernd Bohnet, Dilek Hakkani-T&...
ICASSP
2010
IEEE
13 years 9 months ago
A kernel mean matching approach for environment mismatch compensation in speech recognition
The mismatch between training and test environmental conditions presents a challenge to speech recognition systems. In this paper, we investigate an approach for matching the dist...
Abhishek Kumar, John H. L. Hansen
FTSIG
2007
136views more  FTSIG 2007»
13 years 8 months ago
The Application of Hidden Markov Models in Speech Recognition
Hidden Markov Models (HMMs) provide a simple and effective framework for modelling time-varying spectral vector sequences. As a consequence, almost all present day large vocabula...
Mark J. F. Gales, Steve Young
CSL
2011
Springer
13 years 3 months ago
The subspace Gaussian mixture model - A structured model for speech recognition
We describe a new approach to speech recognition, in which all Hidden Markov Model (HMM) states share the same Gaussian Mixture Model (GMM) structure with the same number of Gauss...
Daniel Povey, Lukas Burget, Mohit Agarwal, Pinar A...