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INTERSPEECH
2010
13 years 1 months ago
Performance estimation of noisy speech recognition considering recognition task complexity
To ensure a satisfactory QoE (Quality of Experience) and facilitate system design in speech recognition services, it is essential to establish a method that can be used to efficie...
Takeshi Yamada, Tomohiro Nakajima, Nobuhiko Kitawa...
ICASSP
2009
IEEE
14 years 1 months ago
Unsupervised equalization of Lombard effect for speech recognition in noisy adverse environment
When exposed to environmental noise, speakers adjust their speech production to maintain intelligible communication. This phenomenon, called Lombard effect (LE), is known to consi...
Hynek Boril, John H. L. Hansen
INTERSPEECH
2010
13 years 1 months ago
HMM adaptation using linear spline interpolation with integrated spline parameter training for robust speech recognition
We recently proposed a method for HMM adaptation to noisy environments called Linear Spline Interpolation (LSI). LSI uses linear spline regression to model the relationship betwee...
Michael L. Seltzer, Alex Acero
AIEDU
2006
73views more  AIEDU 2006»
13 years 7 months ago
Using Knowledge Tracing in a Noisy Environment to Measure Student Reading Proficiencies
Constructing a student model for language tutors is a challenging task. This paper describes using knowledge tracing to construct a student model of reading proficiency and validat...
Joseph E. Beck, June Sison
ICASSP
2011
IEEE
12 years 10 months ago
Gesture-based Dynamic Bayesian Network for noise robust speech recognition
Previously we have proposed different models for estimating articulatory gestures and vocal tract variable (TV) trajectories from synthetic speech. We have shown that when deploye...
Vikramjit Mitra, Hosung Nam, Carol Y. Espy-Wilson,...