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» Emotion recognition using imperfect speech recognition
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ICMCS
2006
IEEE
148views Multimedia» more  ICMCS 2006»
15 years 4 months ago
Acoustically-Driven Talking Face Synthesis using Dynamic Bayesian Networks
Dynamic Bayesian Networks (DBNs) have been widely studied in multi-modal speech recognition applications. Here, we introduce DBNs into an acoustically-driven talking face synthesi...
Jianxia Xue, Jonas Borgstrom, Jintao Jiang, Lynne ...
SIGIR
2006
ACM
15 years 4 months ago
One-sided measures for evaluating ranked retrieval effectiveness with spontaneous conversational speech
Early speech retrieval experiments focused on news broadcasts, for which adequate Automatic Speech Recognition (ASR) accuracy could be obtained. Like newspapers, news broadcasts a...
Baolong Liu, Douglas W. Oard
IAT
2006
IEEE
15 years 4 months ago
Semantic Labeling of Data by Using the Web
The Web consists of a large amount of unstructured information that hardly can be elaborated by automatic agents. In recent years, a considerable number of techniques for informat...
Leonardo Rigutini, Ernesto Di Iorio, Marco Ernande...
SMC
2007
IEEE
15 years 4 months ago
Mental tension detection in the speech based on physiological monitoring
— The focus of this paper is mental tension detection in speech to assist control the tension in day-to-day business such as conferences and operations in a call center. It is di...
Michiaki Ariga, Yoshikazu Yano, Shinji Doki, Shige...
ICASSP
2008
IEEE
15 years 4 months ago
Discriminative feature selection for hidden Markov models using Segmental Boosting
We address the feature selection problem for hidden Markov models (HMMs) in sequence classification. Temporal correlation in sequences often causes difficulty in applying featur...
Pei Yin, Irfan A. Essa, Thad Starner, James M. Reh...