17 citations · 37 across the 4 of their papers we have counts for
4 papers
Learning spectro-temporal features with 3D CNNs for speech emotion recognition
Jaebok Kim, Khiet P. Truong, Gwenn Englebienne +1
In this paper, we propose to use deep 3-dimensional convolutional networks (3D CNNs) in order to address the challenge of modelling spectro-temporal dynamics for speech emotion rec…
Towards Speech Emotion Recognition "in the wild" using Aggregated Corpora and Deep Multi-Task Learning
Jaebok Kim, Gwenn Englebienne, Khiet P. Truong +1
One of the challenges in Speech Emotion Recognition (SER) "in the wild" is the large mismatch between training and test data (e.g. speakers and tasks). In order to improve the gene…
Ariadne's Thread - Interactive Navigation in a World of Networked Information
Rob Koopman, Shenghui Wang, Andrea Scharnhorst +1
This work-in-progress paper introduces an interface for the interactive visual exploration of the context of queries using the ArticleFirst database, a product of OCLC. We describe…
Latent Hierarchical Model for Activity Recognition
Ninghang Hu, Gwenn Englebienne, Zhongyu Lou +1
We present a novel hierarchical model for human activity recognition. In contrast to approaches that successively recognize actions and activities, our approach jointly models acti…