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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

  1. ^ Rosenberg, Andrew (September 2018), Getting to Know Your Fellow Researchers: Lori Lamel, IEEE Signal Processing Society
  2. ^ a b c d e Curriculum vitae (PDF), May 2020, retrieved 2021-06-01
  3. ^ Lori Lamel at the Mathematics Genealogy Project
  4. ^ ISCA Fellows Program, International Speech Communication Association, retrieved 2021-05-30
  5. ^ IEEE Fellows directory, IEEE, retrieved 2021-05-30

External links edit

lori, lamel, lori, faith, lamel, speech, processing, researcher, known, work, with, timit, corpus, american, english, speech, work, voice, activity, detection, speaker, recognition, other, linguistic, inferences, from, speech, signals, works, french, national,. 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 Mecanique et les Sciences de l Ingenieur 2 Contents 1 Education and career 2 Recognition 3 References 4 External linksEducation and career editLamel 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 editLamel 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 30External links editLori Lamel publications indexed by Google Scholar Home page Retrieved from https en wikipedia org w index php title Lori Lamel amp oldid 1223158542, wikipedia, wiki, book, books, library,

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