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SPEECH
2010
89views more  SPEECH 2010»
14 years 7 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. ...
ICASSP
2010
IEEE
14 years 9 months ago
Loquendo-Politecnico di Torino system for the 2009 NIST Language Recognition Evaluation
This paper describes the system submitted by Loquendo and Politecnico di Torino (LPT) for the 2009 NIST Language Recognition Evaluation. The system is a combination of classifiers...
Fabio Castaldo, Daniele Colibro, Sandro Cumani, Em...
ICASSP
2011
IEEE
14 years 4 months ago
Bird species recognition combining acoustic and sequence modeling
The goal of this work was to explore modeling techniques to improve bird species classification from audio samples. We first developed an unsupervised approach to obtain approxima...
Martin Graciarena, Michelle Delplanche, Elizabeth ...
ICASSP
2009
IEEE
15 years 7 months ago
A criterion for the enhancement of time-frequency masks in missing data recognition
Despite their effectiveness for robust speech processing, missing data techniques are vulnerable to errors in the classification of the input speech signal’s time-frequency poi...
Daniel Pullella, Roberto Togneri
ICPR
2006
IEEE
15 years 6 months ago
Intelligibility of Children with Cleft Lip and Palate: Evaluation by Speech Recognition Techniques
Cleft lip and palate (CLP) may cause functional limitations even after adequate surgical and non-surgical treatment, speech disorder being one of them. Until now, an objective mea...
Andreas Maier, Christian Hacker, Elmar Nöth, ...