2 papers
eess.AS2025
Weakly Supervised Phonological Features for Pathological Speech Analysis
Jenthe Thienpondt, Geoffroy Vanderreydt, Abdessalem Hammami +1
Paralinguistic properties of speech are essential in analyzing and choosing optimal treatment options for patients with speech disorders. However, automatic modeling of these chara…
eess.AS2024
Speaker Embeddings With Weakly Supervised Voice Activity Detection For Efficient Speaker Diarization
Jenthe Thienpondt, Kris Demuynck
Current speaker diarization systems rely on an external voice activity detection model prior to speaker embedding extraction on the detected speech segments. In this paper, we esta…