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ICASSP
2008
IEEE
13 years 11 months ago
Frame-based acoustic feature integration for speech understanding
With the purpose of improving Spoken Language Understanding (SLU) performance, a combination of different acoustic speech recognition (ASR) systems is proposed. State a-posteriori...
Loic Barrault, Christophe Servan, Driss Matrouf, G...
HICSS
2009
IEEE
101views Biometrics» more  HICSS 2009»
14 years 4 days ago
Optimizing Visual Feature Perception for an Automatic Wearable Speech Supplement in Face-to-Face Communication and Classroom Sit
Given the limitation of hearing and understanding speech for many individuals, we plan to supplement the sound of speech and speechreading with an additional informative visual in...
Dominic W. Massaro, Miguel Á. Carreira-Perp...
INTERSPEECH
2010
13 years 4 days ago
SCARF: a segmental conditional random field toolkit for speech recognition
This paper describes a new toolkit - SCARF - for doing speech recognition with segmental conditional random fields. It is designed to allow for the integration of numerous, possib...
Geoffrey Zweig, Patrick Nguyen
CHI
2009
ACM
13 years 8 months ago
Comparing emotions using acoustics and human perceptual dimensions
Understanding the difference between emotions based on acoustic features is important for computer recognition and classification of emotions. We conducted a study of human percep...
Keshi Dai, Harriet J. Fell, Joel MacAuslan
PRL
2002
94views more  PRL 2002»
13 years 5 months ago
A hierarchical tag-graph search scheme with layered grammar rules for spontaneous speech understanding
It has always been difficult for language understanding systems to handle spontaneous speech with satisfactory robustness, primarily due to such problems as the fragments, disflue...
Bor-shen Lin, Berlin Chen, Hsin-Min Wang, Lin-Shan...