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10 years of news and resources for members of the IEEE Signal Processing Society
In the past two decades, significant progress has been made in automatic speech recognition (ASR) and statistical machine translation (MT). Despite some conspicuous differences, many problems in ASR and MT are closely related and techniques in the two fields can be successfully cross-pollinated.
In the September issue of IEEE Signal Processing Magazine, the Lecture Note column article explains the fundamental connections between ASR and MT. It shows that the recently developed ASR discriminative training paradigm can be extended to train MT models in the same spirit. Furthermore, speech translation (ST), which aims to translate speech sound from one language to another, usually consists of both ASR and MT as subcomponents. The column article shows that the ASR discriminative training paradigm can also be extended to ST.
|Call for Nominations: Distinguished Industry Speakers and Distinguished Lecturers||31 May 2020|
|The First TReNDS Neuroimaging Competition is Live!||29 June 2020|
|Call for Nominations: Chair, Women in Signal Processing Committee and Chair, Young Professionals Committee||10 July 2020|
|ALASKA 2 Steganalysis Challenge is Open||13 July 2020|
|Nominations Open for 2020 SPS Awards||1 September 2020|
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