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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.
|Enhancements added to OU Analytics - Geographic Map||1 November 2019|
|Series to Highlight Women in Signal Processing: Sheila S. Hemami||1 November 2019|
|Redesigned OU Monthly Statistics Now Available||1 November 2019|
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|Call for Nominations: Fellow Evaluation Committee - Extended to November 22||22 November 2019|
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