Predicting Depression and Emotions in the Cross-roads of Cultures, Para-linguistics, and Non-linguistics

This publication has 50 references indexed in Scilit:

• The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing
  IEEE Transactions on Affective Computing, 2015
• A review of depression and suicide risk assessment using speech analysis
  Speech Communication, 2015
• Supervised domain adaptation for emotion recognition from speech
  2015
• Deep neural networks employing Multi-Task Learning and stacked bottleneck features for speech synthesis
  2015
• A Review and Meta-Analysis of Multimodal Affect Detection Systems
  ACM Computing Surveys, 2015
• Autoencoder-based Unsupervised Domain Adaptation for Speech Emotion Recognition
  IEEE Signal Processing Letters, 2014
• SemEval-2014 Task 7: Analysis of Clinical Text
  2014
• Multimodal assistive technologies for depression diagnosis and monitoring
  Journal on Multimodal User Interfaces, 2013
• Weighted extreme learning machine for imbalance learning
  Neurocomputing, 2013
• The Natural History of Alzheimer's Disease
  Archives of Neurology, 1994