Luciana Ferrer
Scholar

Luciana Ferrer

Google Scholar ID: s3CmNoEAAAAJ
Instituto en Ciencias de la Computación (Computer Science Institute), UBA-CONICET
Speaker recognitionLanguage identificationProsodic modelingBioinformaticsMachine Learning
Citations & Impact
All-time
Citations
4,073
 
H-index
24
 
i10-index
53
 
Publications
20
 
Co-authors
14
list available
Contact
No contact links provided.
Resume (English only)
Academic Achievements
  • Over 170 publications with more than 7700 citations; Board member of the International Speech Communication Association (ISCA) and Technical Program Chair of Interspeech 2024; Invited speaker at international events such as Khipu AI meeting 2019 and 2023, ASRU 2021, Odyssey 2020; Awards include Amazon Research Award 2023, Faculty Research Award from JP Morgan 2023, Google Faculty Research Award 2020, etc.
Research Experience
  • Currently leads a team of researchers working on various speech processing tasks, including pronunciation scoring, emotion and personality recognition, neurological disorder detection, universal audio representation, and natural language processing.
Education
  • Ph.D. in Electronic Engineering from Stanford University, USA, in 2009; Degree in Electronic Engineering from the University of Buenos Aires, Argentina, in 2001.
Background
  • Research Interests: Machine learning applied to speech and audio processing tasks. Professional Area: Speaker and language recognition, score calibration, and robustness to domain mismatch. Bio: She is a researcher at the Computer Science Institute, affiliated with the University of Buenos Aires (UBA) and the National Scientific and Technical Research Council (CONICET), Argentina.