41 search results - page 6 / 9 » Predicting Automatic Speech Recognition Performance Using Pr... |
ICASSP
2009
IEEE
14 years 3 months ago
2009
IEEE
When exposed to environmental noise, speakers adjust their speech production to maintain intelligible communication. This phenomenon, called Lombard effect (LE), is known to consi...
ITS
2010
Springer
14 years 1 months ago
2010
Springer
We investigate whether four metacognitive metrics derived from student correctness and uncertainty values are predictive of student learning in a fully automated spoken dialogue co...
ICASSP
2010
IEEE
13 years 8 months ago
2010
IEEE
In this paper, we compare several approaches for the extraction of modulation frequency features from speech signal using a phoneme recognition system. The general framework in th...
ICASSP
2011
IEEE
13 years 8 days ago
2011
IEEE
In this work we concentrate on generating compound words with high order n-gram information for speech recognition. In most existing compound words generation methods, only bi-gra...
NIPS
2004
13 years 10 months ago
2004
In this paper, we explore the use of Random Forests (RFs) in the structured language model (SLM), which uses rich syntactic information in predicting the next word based on words ...