Daniel Povey

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Daniel Povey
NationalityUnited Kingdom
EducationCambridge University
Known forSpeech recognition
Scientific career
Fields
Institutions
ThesisDiscriminative training for large vocabulary speech recognition (2003)

Daniel Povey is a British researcher in the fields of speech recognition and artificial intelligence. After graduating from Cambridge University, he held research positions at Microsoft and IBM from 2003 to 2012.[1] He worked at Johns Hopkins University as a nontenured associate research professor in the Whiting School of Engineering prior to being fired in August 2019. Earlier that year, on May 8, Povey had broken into a student protest on campus with bolt cutters. The protesters accused Povey of attacking them, but Povey claims that the protesters lied about the events of the protest, and that in fact the protesters attacked him.[2][3] Later in August 2019, after being fired by Johns Hopkins, Povey was slated to begin working for Facebook, but he rejected Facebook's conditions of employment just days before he would have begun working for them.[4] He was appointed the chief speech scientist at Xiaomi in November 2019, and continued to hold this position as of October 2020. He is also the primary architect and maintainer of Kaldi.[5]

References[]

  1. ^ "Daniel Povey, Chief Voice Scientist, Xiaomi". Topio Networks. Retrieved 2021-03-30.
  2. ^ Flaherty, Colleen (2019-08-12). "Johns Hopkins fires professor over clash with student protesters, but he says he has no remorse". Inside Higher Education. Retrieved 2021-03-30.
  3. ^ Bogel-Burroughs, Nicholas (2019-08-11). "A Professor Tried to End a Sit-In With Bolt Cutters. Now He's Been Fired". The New York Times. ISSN 0362-4331. Retrieved 2021-03-30.
  4. ^ Rodriguez, Salvador (2019-08-16). "Fired Johns Hopkins professor won't work for Facebook after all". CNBC. Retrieved 2021-03-30.
  5. ^ "Live preview - Main developer and maintainer of Kaldi: Daniel Povey was invited to participate in the INTERSPEECH2020 Magic Data live session and will interact with the audience online". PR Newswire (Press release). Magic Data Technology. 2020-10-23. Retrieved 2021-03-30.

External links[]


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