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» The limits of speech recognition
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CORR
2002
Springer
63views Education» more  CORR 2002»
13 years 7 months ago
Robust Classification with Context-Sensitive Features
This paper addresses the problem of classifying observations when features are context-sensitive, especially when the testing set involves a context that is different from the tra...
Peter D. Turney
VLSISP
1998
140views more  VLSISP 1998»
13 years 7 months ago
Audio Feature Extraction and Analysis for Scene Segmentation and Classification
Understanding of the scene content of a video sequence is very important for content-based indexing and retrieval of multimedia databases. Research in this area in the past severa...
Zhu Liu, Yao Wang, Tsuhan Chen
PRL
2007
131views more  PRL 2007»
13 years 7 months ago
A new look at discriminative training for hidden Markov models
ct 7 Discriminative training for hidden Markov models (HMMs) has been a central theme in speech recognition research for many years. 8 One most popular technique is minimum classiï...
Xiaodong He, Li Deng
RAS
2008
112views more  RAS 2008»
13 years 7 months ago
Learning and generalising semantic knowledge from object scenes
The robot described in this paper learns words that relate to objects and their attributes and also learns concepts, which may be recursive, that involve relationships between sev...
Claire D'Este, Claude Sammut
LRE
2010
136views more  LRE 2010»
13 years 6 months ago
The Corpus DIMEx100: transcription and evaluation
In this paper the transcription and evaluation of the corpus DIMEx100 for Mexican Spanish is presented. First we describe the corpus and explain the linguistic and computational mo...
Luis Alberto Pineda, Hayde Castellanos, Javier Cu&...