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» A hierarchical point process model for speech recognition
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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. ...
BVAI
2007
Springer
14 years 1 months ago
Neural Object Recognition by Hierarchical Learning and Extraction of Essential Shapes
We present a hierarchical system for object recognition that models neural mechanisms of visual processing identified in the mammalian ventral stream. The system is composed of ne...
Daniel Oberhoff, Marina Kolesnik
CORR
2000
Springer
67views Education» more  CORR 2000»
13 years 7 months ago
Recognition Performance of a Structured Language Model
A new language model for speech recognition inspired by linguistic analysis is presented. The model develops hidden hierarchical structure incrementally and uses it to extract mea...
Ciprian Chelba, Frederick Jelinek
IJCNLP
2005
Springer
14 years 29 days ago
Improving Korean Speech Acts Analysis by Using Shrinkage and Discourse Stack
Abstract. A speech act is a linguistic action intended by a speaker. It is important to analyze the speech act for the dialogue understanding system because the speech act of an ut...
Kyungsun Kim, Youngjoong Ko, Jungyun Seo
ICASSP
2011
IEEE
12 years 11 months ago
Dynamic selection of a speech enhancement method for robust speech recognition in moving motorcycle environment
We present a speech pre-processing scheme (SPPS) for robust speech recognition in the moving motorcycle environment. The SPPS is dynamically adapted during the run-time operation ...
Iosif Mporas, Todor Ganchev, Otilia Kocsis, Nikos ...