Overview
The IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) is the world’s largest and most comprehensive technical conference focused on signal processing and its applications.
Accepted publications
Workshops
ICASSP 2022 Workshop on Federated Learning Challenges and Opportunities: An Outlook
May 9, 10:00 AM EDT
Federated learning (FL) has been developed as a promising framework to leverage the resources of edge devices, enhance customers’ privacy, comply with regulations, and reduce development costs. Although many methods and applications have been developed for FL, several critical challenges for practical FL systems remain unaddressed. This paper provides an outlook on FL development as part of the ICASSP 2022 special session entitled "Frontiers of Federated Learning: Applications, Challenges, and Opportunities." The outlook is categorized into five emerging directions of FL, namely algorithm foundation, personalization, hardware and security constraints, lifelong learning, and nonstandard data.
Amazon organizer: Tao Zhang
Website: https://www.2022.ieeeicassp.org/view_paper.php?PaperNum=2647
Amazon organizer: Tao Zhang
Website: https://www.2022.ieeeicassp.org/view_paper.php?PaperNum=2647
ICASSP 2022 Workshop on the New Era of All-Neural SLU: Opportunities and Challenges Ahead
May 23, 2:00 AM - 5:30 AM EDT
In this workshop, we will provide an overview of the all-neural architecture developed by the Alexa ASR group, dive deep into some of the challenges and future opportunities, and conduct a panel discussion and Q&A session on the impact, and the future of the all-neural approach to speech recognition.
Amazon co-chairs: Jennifer Shumway, Ariya Rastrow, Björn Hoffmeister, Chris Ho
Amazon panel members: Ariya Rastrow, Andreas Stolcke,
Shalini Ghosh, Björn Hoffmeister
Amazon presenters: Björn Hoffmeister, Ariya Rastrow, Shalini Ghosh, Yi Gu, Harish Arsikere, Anna Piunova, Ilya Sklyar, Jahn Heymann, Prabhat Pandey, Sergio Duarte Torres, Feng-Ju (Claire) Chang
Website: https://2022.ieeeicassp.org/view_event.php?mid=48
Amazon co-chairs: Jennifer Shumway, Ariya Rastrow, Björn Hoffmeister, Chris Ho
Amazon panel members: Ariya Rastrow, Andreas Stolcke,
Shalini Ghosh, Björn Hoffmeister
Amazon presenters: Björn Hoffmeister, Ariya Rastrow, Shalini Ghosh, Yi Gu, Harish Arsikere, Anna Piunova, Ilya Sklyar, Jahn Heymann, Prabhat Pandey, Sergio Duarte Torres, Feng-Ju (Claire) Chang
Website: https://2022.ieeeicassp.org/view_event.php?mid=48
Related content
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June 01, 2022Knowledge distillation and discriminative training enable efficient use of a BERT-based model to rescore automatic-speech-recognition hypotheses.
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May 17, 2022Papers focus on speech conversion and data augmentation — and sometimes both at once.
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May 12, 2022Multimodal training, signal-to-interpretation, and BERT rescoring are just a few topics covered by Amazon’s 21 speech-related papers.
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May 10, 2022Topics range from the predictable, such as speech recognition and signal processing, to time series forecasting and personalization.