scispace - formally typeset
D

David A. van Leeuwen

Researcher at Radboud University Nijmegen

Publications -  86
Citations -  2445

David A. van Leeuwen is an academic researcher from Radboud University Nijmegen. The author has contributed to research in topics: Speaker recognition & Speaker diarisation. The author has an hindex of 28, co-authored 81 publications receiving 2233 citations. Previous affiliations of David A. van Leeuwen include Netherlands Organisation for Applied Scientific Research.

Papers
More filters
Journal ArticleDOI

Quenching of magnetic moments by ligand-metal interactions in nanosized magnetic metal clusters.

TL;DR: In this paper, local density functional calculations and experimental magnetization studies on giant nickel carbonyl clusters are presented, and the results show convincingly that the effect of the carbonyls ligation is to quench completely the magnetic moments of the nickel atoms at the surface of the clusters, leaving the inner core metal atoms relatively unaffected.
Journal ArticleDOI

Automatic discrimination between laughter and speech

TL;DR: The development of a gender-independent laugh detector is described with the aim to enable automatic emotion recognition and acoustic measurements showed differences between laughter and speech in mean pitch and in the ratio of the durations of unvoiced to voiced portions, which indicate that these prosodic features are indeed useful for discrimination between laughed and speech.
Proceedings ArticleDOI

Duration mismatch compensation for i-vector based speaker recognition systems

TL;DR: The effect of duration variability on phoneme distributions of speech utterances and i-vector length is analyzed and it is demonstrated that, as utterance duration is decreased, number of detected unique phonemes andi- vector length approaches zero in a logarithmic and non-linear fashion.
Proceedings ArticleDOI

On calibration of language recognition scores

TL;DR: A simple global calibration metric is proposed that can be generally applied to a multiple-hypothesis problem and it is demonstrated experimentally on some NIST-LRE-'05 data how this relates to the calibration of some of the derived binary-hypotheses sub-problems.