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researcher

Joan Codina-Filbà

2 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • last author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CL2

identity via Semantic Scholar / OpenAlex

most citedCombining Prosodic, Voice Quality and Lexical Features to Automatically Detect Alzheimer's Disease

5 citations · 5 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CL2021

Influence of ASR and Language Model on Alzheimer's Disease Detection

Joan Codina-Filbà, Guillermo Cámbara, Jordi Luque +1

Alzheimer's Disease is the most common form of dementia. Automatic detection from speech could help to identify symptoms at early stages, so that preventive actions can be carried…

cs.CL2020★ 5 cited

Combining Prosodic, Voice Quality and Lexical Features to Automatically Detect Alzheimer's Disease

Mireia Farrús, Joan Codina-Filbà

Alzheimer's Disease (AD) is nowadays the most common form of dementia, and its automatic detection can help to identify symptoms at early stages, so that preventive actions can be…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.