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» Universal background model based speech recognition
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ICASSP
2011
IEEE
14 years 1 months ago
Sentence level emotion recognition based on decisions from subsentence segments
Emotion recognition from speech plays an important role in developing affective and intelligent systems. This study investigates sentence-level emotion recognition. We propose to ...
Je Hun Jeon, Rui Xia, Yang Liu
LREC
2010
196views Education» more  LREC 2010»
14 years 11 months ago
HIFI-AV: An Audio-visual Corpus for Spoken Language Human-Machine Dialogue Research in Spanish
In this paper, we describe a new multi-purpose audio-visual database on the context of speech interfaces for controlling household electronic devices. The database comprises speec...
Fernando F. Fernández-Martínez, Juan...
TASLP
2002
143views more  TASLP 2002»
14 years 9 months ago
Distributed speech processing in miPad's multimodal user interface
This paper describes the main components of MiPad (Multimodal Interactive PAD) and especially its distributed speech processing aspects. MiPad is a wireless mobile PDA prototype th...
Li Deng, Kuansan Wang, Alex Acero, Hsiao-Wuen Hon,...
BMCBI
2008
153views more  BMCBI 2008»
14 years 10 months ago
How to make the most of NE dictionaries in statistical NER
Background: When term ambiguity and variability are very high, dictionary-based Named Entity Recognition (NER) is not an ideal solution even though large-scale terminological reso...
Yutaka Sasaki, Yoshimasa Tsuruoka, John McNaught, ...
ICASSP
2010
IEEE
14 years 10 months ago
Discriminative template extraction for direct modeling
This paper addresses the problem of developing appropriate features for use in direct modeling approaches to speech recognition, such as those based on Maximum Entropy models or S...
Shankar Shivappa, Patrick Nguyen, Geoffrey Zweig