4 papers
A Semi-spontaneous Dutch Speech Dataset for Speech Enhancement and Speech Recognition
Dimme de Groot, Yuanyuan Zhang, Jorge Martinez +1
We present DRES: a 1.5-hour Dutch realistic elicited (semi-spontaneous) speech dataset from 80 speakers recorded in noisy, public indoor environments. DRES was designed as a test s…
Comparing Human and Automatic Recognition of Dutch Dysarthric Continuous Speech: A Case Study
Yuanyuan Zhang, Dimme de Groot, Jorge Martinez +1
In our goal to develop personalised dysarthric speech recognition (DSR) models, this study compared the recognition performances of human listeners and those of three state-of-the-…
Performance of Objective Speech Quality Metrics on Languages Beyond Validation Data: A Study of Turkish and Korean
Javier Perez, Dimme de Groot, Jorge Martinez
Objective speech quality measures are widely used to assess the performance of video conferencing platforms and telecommunication systems. They predict human-rated speech quality a…
Loudspeaker Beamforming to Enhance Speech Recognition Performance of Voice Driven Applications
Dimme de Groot, Baturalp Karslioglu, Odette Scharenborg +1
In this paper we propose a robust loudspeaker beamforming algorithm which is used to enhance the performance of voice driven applications in scenarios where the loudspeakers introd…