Lori Lamel
Lori Faith Lamel is a speech processing researcher known for her work with the TIMIT corpus of American English speech and for her work on voice activity detection, speaker recognition, and other non-linguistic inferences from speech signals.[1] She works for the French National Centre for Scientific Research (CNRS) as a senior research scientist in the Spoken Language Processing Group of the Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur.[2]
Education and career
[edit]Lamel was a student at the Massachusetts Institute of Technology (MIT), where she earned bachelor's and master's degrees in electrical engineering and computer science in 1980 as a co-op student with Bell Labs.[2] She earned her Ph.D. at MIT in 1988, with the dissertation Formalizing Knowledge used in Spectrogram Reading: Acoustic and perceptual evidence from stops supervised by Victor Zue.[2][3] She completed a habilitation in 2004 at Paris-Sud University.[2]
She was a visiting researcher at CNRS in 1989–1990, became a researcher for CNRS in 1991, and was promoted to senior researcher in 2005.[2]
Recognition
[edit]Lamel was named a fellow of the International Speech Communication Association in 2015, "for contributions to human-machine interaction via multilingual speech processing".[4] She was named a Fellow of the IEEE in 2021, "for contributions to automatic speech recognition".[5]
References
[edit]- ^ Rosenberg, Andrew (September 2018), Getting to Know Your Fellow Researchers: Lori Lamel, IEEE Signal Processing Society
- ^ a b c d e Curriculum vitae (PDF), May 2020, retrieved 2021-06-01
- ^ Lori Lamel at the Mathematics Genealogy Project
- ^ ISCA Fellows Program, International Speech Communication Association, retrieved 2021-05-30
- ^ IEEE Fellows directory, IEEE, retrieved 2021-05-30
External links
[edit]- Lori Lamel publications indexed by Google Scholar
- Home page
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