17 citations · 46 across the 7 of their papers we have counts for
7 papers
A Benchmark for Early-stage Parkinson's Disease Detection from Speech
Terry Yi Zhong, Cristian Tejedor-Garcia, Khiet P. Truong +3
Early-stage Parkinson's disease (EarlyPD) detection from speech is clinically meaningful yet underexplored, and published results are hard to compare because studies differ in data…
Automated speech audiometry: Can it work using open-source pre-trained Kaldi-NL automatic speech recognition?
Gloria Araiza-Illan, Luke Meyer, Khiet P. Truong +1
A practical speech audiometry tool is the digits-in-noise (DIN) test for hearing screening of populations of varying ages and hearing status. The test is usually conducted by a hum…
Designing Conversational Robots with Children during the Pandemic
Thomas Beelen, Ella Velner, Roeland Ordelman +3
Our research project (CHATTERS) is about designing a conversational robot for children's digital information search. We want to design a robot with a suitable conversation, that fo…
Does your robot know? Enhancing children's information retrieval through spoken conversation with responsible robots
T. Beelen, E. Velner, R. Ordelman +3
In this paper, we identify challenges in children's current information retrieval process, and propose conversational robots as an opportunity to ease this process in a responsible…
Speaking of Trust -- Speech as a Measure of Trust
Ella Velner, Khiet P. Truong, Vanessa Evers
Since trust measures in human-robot interaction are often subjective or not possible to implement real-time, we propose to use speech cues (on what, when and how the user talks) as…
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…