Distinguished Lecturers

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Distinguished Lecturers

The IEEE Signal Processing Society (SPS) announces the 2023 Class of Distinguished Lecturers and Distinguished Industry Speakers for the term of 1 January 2023 to 31 December 2024.  The IEEE SPS Distinguished Lecturer (DL) Program provides a means for Chapters to have access to well-known educators and authors in the fields of signal processing to lecture at Chapter meetings.

The IEEE Signal Processing Society (SPS) announces the 2022 Class of Distinguished Lecturers and Distinguished Industry Speakers for the term of 1 January 2022 to 31 December 2023.  The IEEE SPS Distinguished Lecturer (DL) Program provides a means for Chapters to have access to well-known educators and authors in the fields of signal processing to lecture at Chapter meetings. 

The IEEE Signal Processing Society (SPS) announces the 2021 Class of Distinguished Lecturers and Distinguished Industry Speakers for the term of 1 January 2021 to 31 December 2022, which are noted below.  The IEEE SPS Distinguished Lecturer (DL) Program provides a means for Chapters to have access to well-known educators and authors in the fields of signal processing to lecture at Chapter meetings. 

Michael Picheny (IBM Research)

Lecture Date: December 2, 2019
Chapter: Italy
Chapter Chair: Mauro Barni
Topic: Speech Recognition: What’s Next?

Michael Picheny (IBM Research)

Lecture Date: September 5, 2019
Chapter: Chicago
Chapter Chair: Rashid Ansari
Topic: Speech Recognition: What’s Left?

Michael Picheny (IBM Research)

Lecture Date: May 8, 2019
Chapter: Germany
Chapter Chair: Wolfgang Utschick
Topic: Speech Recognition: What’s Left?

Michael Picheny (IBM Research)

Lecture Date: October 15, 2018
Chapter: Kansai
Chapter Chair: Tatsura Kawahara
Topic: Speech Recognition: What’s Next?

Michael Picheny (IBM Research)

Lecture Date: October 10, 2018
Chapter: Tokyo
Chapter Chair: Shoji Makino
Topic: Speech Recognition: What’s Next?

Michael Picheny (IBM Research)

Lecture Date: July 3, 2018
Chapter: Turkey
Chapter Chair: Murat Saraclar
Topic: Speech Recognition: What’s Left?

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