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Lovisa Wihlborg

2 accepted papers

2026

Evaluating pretrained speech embedding systems for dysarthria detection across heterogenous datasets

ICASSP 2026poster

We present a comprehensive evaluation of pretrained speech embedding systems for the detection of dysarthric speech using existing accessible data. Dysarthric speech datasets are often small and can suffer from recording biases as well as data imbalance. To address these we selected a range of datas…

Cited by 0SourcePDFScholar
2023

PUFFIN: Pitch-Synchronous Neural Waveform Generation for Fullband Speech on Modest Devices

ICASSP 2023accepted

We present a neural vocoder designed with low-powered Alternative and Augmentative Communication devices in mind. By combining elements of successful modern vocoders with established ideas from an older generation of technology, our system is able to produce high quality synthetic speech at 48kHz on…

Cited by 0SourceScholar