Luciana Ferrer

 

Senior Researcher – Computer Science Institute, UBA-CONICET

Mail: lferrer at dc uba ar 

Bio

 

Luciana Ferrer is a researcher at the Computer Science Institute, affiliated to the University of Buenos Aires (UBA) and the National Scientific and Technical Research Council (CONICET), Argentina. Luciana received her Ph.D. degree in Electronic Engineering from Stanford University, USA, in 2009, and her Electronic Engineering degree from the University of Buenos Aires, Argentina, in 2001.

Luciana’s primary research area is machine learning applied to speech and audio processing tasks. She has worked extensively on the tasks of speaker and language recognition, with special focus on the problem of score calibration and robustness to domain mismatch. She currently leads a team of researchers working on a variety of speech processing tasks including pronunciation scoring, emotion and personality recognition, neurological disorder detection, universal audio representation, and natural language processing.

Luciana is a board member of the International Speech Communication Association (ISCA) and was Technical Program Chair of the Interspeech 2024 conference. She has been invited speaker at international events, including the Khipu AI meeting in 2019 and 2023, ASRU 2021 and Odyssey 2020. She has over 170 publications which have received more than 7700 citations. 

 

Research Areas

  • Calibration of classification systems
  • Speaker and language recognition
  • Evaluation of bias and fairness
  • Pronunciation scoring
  • Mental state detection
  • Audio representation learning
  • Natural language processing

 

Publications

Link to my Google Scholar

 

Awards

  • Amazon Research Award, 2023
  • Faculty Research Award from JP Morgan, 2023
  • Google Faculty Research Award, 2020
  • Amazon Research Award, 2020
  • Google Latin-America Research Award, 2018
  • Beca doctoral financiada por el National Science Foundation, EEUU, 2007

Talks