Rādīt vienkāršu vienuma ierakstu

 
dc.contributor.author Znotiņš, Artūrs
dc.contributor.author Darģis, Roberts
dc.contributor.author Grūzītis, Normunds
dc.contributor.author Bārzdiņš, Guntis
dc.contributor.author Goško, Didzis
dc.date.accessioned 2022-11-28T14:24:56Z
dc.date.available 2022-11-28T14:24:56Z
dc.date.issued 2022
dc.identifier.uri http://hdl.handle.net/20.500.12574/70
dc.description In the medical domain, various approaches are used to produce examination reports and other medical records. Depending on the language-specific technology support, the type of examination, the size of the hospital or clinic, and other aspects, the reporting workflow can range from completely manual to (semi-)automated. A manual workflow may completely depend on the doctor itself or may include a transcriptionist centre in the loop. In an automated workflow, the transcriptionist centre is typically replaced by an automatic speech recognition (ASR) system. While the latter approach is well suited for high resource languages with low word error rate (WER), a dual approach combining automated transcription with the support from a transcriptionist centre may be more suited for less resourced languages. The RUTA:MED platform supports both workflows simultaneously. It currently includes an ASR pipeline for the Latvian language, which can be changed with ASR modules for any other language.
dc.language.iso lav
dc.publisher AiLab IMCS UL
dc.relation.isreferencedby https://zenodo.org/record/6988837#.Y4JFaOzP1zU
dc.subject speech transcription
dc.subject medical domain
dc.subject transcription editor
dc.title RUTA:MED – Dual Workflow Medical Speech Transcription Pipeline and Editor
dc.type toolService
metashare.ResourceInfo#ContentInfo.detailedType platform
metashare.ResourceInfo#ResourceComponentType#ToolServiceInfo.languageDependent true
has.files no
branding CLARIN Centre of Latvian language resources and tools
demo.uri https://med.ailab.lv/demo/
contact.person Normunds Grūzītis normunds.gruzitis@lumii.lv Institute of Mathematics and Computer Science, University of Latvia
sponsor European Regional Development Fund 1.1.1.1/18/A/153 Latvian Speech Recognition and Synthesis for Medical Applications Other
files.size 0
files.count 0


Rādīt vienkāršu vienuma ierakstu