WavBERT: Exploiting semantic and non-semantic speech using Wav2vec and BERT for dementia detection

  • Youxiang Zhu
  • , Abdelrahman Obyat
  • , Xiaohui Liang
  • , John A. Batsis
  • , Robert M. Roth

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publication22nd Annual Conference of the International Speech Communication Association, INTERSPEECH 2021
PublisherInternational Speech Communication Association
Pages4221-4225
Number of pages5
ISBN (Electronic)9781713836902
DOIs
StatePublished - 2021
Event22nd Annual Conference of the International Speech Communication Association, INTERSPEECH 2021 - Brno, Czech Republic
Duration: Aug 30 2021Sep 3 2021

Publication series

NameProceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH
Volume6
ISSN (Print)2308-457X
ISSN (Electronic)1990-9772

Conference

Conference22nd Annual Conference of the International Speech Communication Association, INTERSPEECH 2021
Country/TerritoryCzech Republic
CityBrno
Period8/30/219/3/21

ASJC Scopus Subject Areas

  • Language and Linguistics
  • Human-Computer Interaction
  • Signal Processing
  • Software
  • Modeling and Simulation

Keywords

  • Automatic speech recognition
  • Dementia detection
  • Non-semantic information
  • Speech analysis

Fingerprint

Dive into the research topics of 'WavBERT: Exploiting semantic and non-semantic speech using Wav2vec and BERT for dementia detection'. Together they form a unique fingerprint.

Cite this