- ORCID iD
- 0000-0001-5732-0281
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- Conference Paper
- P1
- open access
Vowel space as a tool to evaluate articulation problems
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Betrouwbaarheid van de automatische analyse van spraakverstaanbaarheid van laryngectomiepatiënten binnen ASISTO
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Computing scores of voice quality and speech intelligibility in tracheoesophageal speech for speech stimuli of varying lengths
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Language-independent age estimation from speech using phonological and phonemic features
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Language-independent automatic evaluation of intelligibility of chronically hoarse persons
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- Conference Paper
- C1
- open access
Visualization of intelligibility measured by language-independent features
(2014) p.547-554 -
Developing automatic articulation, phonation and accent assessment techniques for speakers treated for advanced head and neck cancer
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Robust automatic intelligibility assessment techniques evaluated on speakers treated for head and neck cancer
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- PhD Thesis
- open access
Automatic analysis of pathological speech
(2012) -
- Conference Paper
- P1
- open access
Combining phonological and acoustic ASR-free features for pathological speech intelligibility assessment