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NAACL
2007
13 years 6 months ago
A Geometric Interpretation of Non-Target-Normalized Maximum Cross-Channel Correlation for Vocal Activity Detection in Meetings
Vocal activity detection is an important technology for both automatic speech recognition and automatic speech understanding. In meetings, standard vocal activity detection algori...
Kornel Laskowski, Tanja Schultz
ICPR
2008
IEEE
14 years 6 months ago
Multiple classifier applied on predicting microsleep from speech
The aim of this study is to apply a state-of-the-art speech emotion recognition engine on the detection of microsleep endangered sleepiness states. Current approaches in speech em...
Jarek Krajewski, Anton Batliner, Rainer Wieland
IROS
2006
IEEE
107views Robotics» more  IROS 2006»
13 years 11 months ago
Evaluation of Prosodic and Voice Quality Features on Automatic Extraction of Paralinguistic Information
- Aiming to realize a non-verbal communication between humans and robots, the use of acoustic parameters related with voice quality features, besides classical prosodic features, i...
Carlos Toshinori Ishi, Hiroshi Ishiguro, Norihiro ...
AIHC
2007
Springer
13 years 11 months ago
Affect Detection and an Automated Improvisational AI Actor in E-Drama
Enabling machines to understand emotions and feelings of the human users in their natural language textual input during interaction is a challenging issue in Human Computing. Our w...
Li Zhang, Marco Gillies, John A. Barnden, Robert J...
SIGDIAL
2010
13 years 3 months ago
Detection of time-pressure induced stress in speech via acoustic indicators
We use automatically extracted acoustic features to detect speech which is generated under stress, achieving 76.24% accuracy with a binary logistic regression. Our data are task-o...
Matthew Frampton, Sandeep Sripada, Ricardo Augusto...