Benefits of pre-trained mono- and cross-lingual speech representations for spoken language understanding of Dutch dysarthric speech
Abstract With the rise of deep learning, spoken language understanding (SLU) for command-and-control applications such as a voice-controlled virtual assistant can offer reliable hands-free operation to physically disabled individuals. However, due to data scarcity, it is still a challenge to process dysarthric speech. Pre-training (part of) the SLU model with supervised automatic speech recognition (ASR) targets or with self-supervised learning (SSL) may help to overcome a lack of data, but no research has shown which pre-training strategy performs better for SLU on dysarthric speech and to wh... Mehr ...
Verfasser: | |
---|---|
Dokumenttyp: | Artikel |
Erscheinungsdatum: | 2023 |
Reihe/Periodikum: | EURASIP Journal on Audio, Speech, and Music Processing ; volume 2023, issue 1 ; ISSN 1687-4722 |
Verlag/Hrsg.: |
Springer Science and Business Media LLC
|
Sprache: | Englisch |
Permalink: | https://search.fid-benelux.de/Record/base-27467203 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | http://dx.doi.org/10.1186/s13636-023-00280-z |