International Conference on Computational Linguistics · 2005 · 39 citations · 5 references
ComputingComputer ScienceAssistive Listening DevicesMachine LearningNatural Language ProcessingAffective ComputingAffective State DetectionEmotion RecognitionPattern RecognitionSpeech RecognitionAutomatic Emotion RecognitionCepstral CoefficientsEmotion Recognition EvaluationEmotion Recognition From SpeechEmotionsHearing-impaired Speech PerceptionLinear PredictionNearest-neighbor Classification
The American Thoracic Society Sleep Core Curriculum updates clinicians on important sleep topics, presented during the annual meeting, and appearing in summary here. This year's sleep core theme is sleep-disordered breathing and its management. Topics range from pathophysiological mechanisms for the association of obstructive sleep apnea (OSA) and metabolic syndrome, surgical modalities of OSA treatment, comorbid insomnia and OSA, central sleep apnea, and sleep practices during a pandemic. OSA has been associated with metabolic syndrome, independent of the role of obesity, and the pathophysiology suggests a role for sleep fragmentation and intermittent hypoxia in observed metabolic outcomes. In specific patient populations, surgical treatment modalities for OSA have demonstrated large reductions in objective disease severity compared with no treatment and may facilitate adherence to positive airway pressure treatment. Patient-centered approaches to comorbid insomnia and sleep apnea include evaluating for both OSA and insomnia simultaneously and using shared-decision making to determine the order and timing of positive airway pressure therapy and cognitive behavioral therapy for insomnia. The pathophysiology of central sleep apnea is complex and may be due to the loss of drive to breathe or instability in the regulatory pathways that control ventilation. Pandemic-era sleep practices have evolved rapidly to balance safety and sustainability of care for patients with sleep-disordered breathing.
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Frank Dellaert, Thomas Polzin, Alex Waibel · 2002 · 498 citations · Full text
APPROACHING AUTOMATIC RECOGNITION OF EMOTION FROM VOICE: A ROUGH BENCHMARK
Sinéad McGilloway, Roddy Cowie, Ellen Douglas‐Cowie et al. · 2000 · 167 citations
Emotion recognition from audiovisual information
L.S. Chen, Thomas S. Huang, Tsutomu Miyasato et al. · 2002 · 54 citations
Detecting Emotions in Mandarin Speech
Tsang-Long Pao, Yu-Te Chen, Jun-Heng Yeh et al. · International Conference on Computational Linguistics · 2004 · 19 citations