In this paper we propose and analyse a large margin fine-tuning strategy and a quality-
aware score calibration in text-independent speaker verification. Large margin fine-tuning is …

In this technical report we describe the IDLAB top-scoring submissions for the VoxCeleb
Speaker Recognition Challenge 2020 (VoxSRC-20) in the supervised and unsupervised …

Automatic speech recognition has gradually improved over the years, but the reliable
recognition of unconstrained speech is still not within reach. In order to achieve a …

Acoustic metrics of contrastive speech rhythm, based on vocalic and intervocalic interval
durations, are intended to capture stable typological differences between languages. They …

It is commonly acknowledged that word or phoneme intelligibility is an important criterion in
the assessment of the communication efficiency of a pathological speaker. People have …

Abstract Computer-Assisted Language Learning (CALL) applications for improving the oral
skills of low-proficient learners have to cope with non-native speech that is particularly …

De ernst van een spraakstoornis wordt vaak gemeten adhv spraakverstaanbaarheid. Deze
maat wordt in de klinische praktijk vaak bepaald met een perceptuele test. Zo'n test is van …

Classical hybrid models for automatic speech recognition were recently outperformed by
end-toend models on popular benchmarks such as LibriSpeech. However, in many real life …

This paper summarizes the 2010 CLSP Summer Workshop on speech recognition at Johns
Hopkins University. The key theme of the workshop was to improve on state-of-the-art …

This research is aimed at analyzing and improving automatic pronunciation error detection
in a second language. Dutch vowels spoken by adult non-native learners of Dutch are used …