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» Asymmetric acoustic modeling of mixed language speech
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SPEECH
2010
89views more  SPEECH 2010»
13 years 2 months ago
Which words are hard to recognize? Prosodic, lexical, and disfluency factors that increase speech recognition error rates
Despite years of speech recognition research, little is known about which words tend to be misrecognized and why. Previous work has shown that errors increase for infrequent words...
Sharon Goldwater, Daniel Jurafsky, Christopher D. ...
CSL
2004
Springer
13 years 7 months ago
Automatic capitalisation generation for speech input
Two different systems are proposed for the task of capitalisation generation. The first system is a slightly modified speech recogniser. In this system, every word in the vocabula...
Ji-Hwan Kim, Philip C. Woodland
IUI
2005
ACM
14 years 28 days ago
How to wreck a nice beach you sing calm incense
A principal problem in speech recognition is distinguishing between words and phrases that sound similar but have different meanings. Speech recognition programs produce a list of...
Henry Lieberman, Alexander Faaborg, Waseem Daher, ...
ICASSP
2009
IEEE
14 years 2 months ago
Lattice-based MLLR for speaker recognition
Maximum-Likelihod Linear Regression (MLLR) transform coefficients have shown to be useful features for text-independent speaker recognition systems. These use MLLR coefficients ...
Marc Ferras, Claude Barras, Jean-Luc Gauvain
CIARP
2003
Springer
14 years 17 days ago
Integrating High and Low Smoothed LMs in a CSR System
In Continuous Speech Recognition (CSR) systems, acoustic and Language Models (LM) must be integrated. To get optimum CSR performances, it is well-known that heuristic factors must ...
Amparo Varona, Inés Torres