An Experimental Study on Private Aggregation of Teacher Ensemble Learning for End-to-End Speech Recognition-Reference-Cited by-同舟云学术

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An Experimental Study on Private Aggregation of Teacher Ensemble Learning for End-to-End Speech Recognition

Published:2023-01-09 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE Spoken Language Technology Workshop (SLT)
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Author:

Yang Chao-Han Huck¹,Chen I-Fan²,Stolcke Andreas²,Siniscalchi Sabato Marco¹,Lee Chin-Hui¹

Affiliation:

1. Georgia Institute of Technology,USA

2. Amazon Alexa AI,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10022052/10022330/10023326.pdf?arnumber=10023326

Reference38 articles.

1. Differential privacy: A survey of re-sults;dwork;International Conference on Theory and Applications of Models of Computation,2008

2. Connectionist temporal classification

3. Speech recovery for real-world self-powered intermit-tent devices;lin;Proc IEEE ICASSP,2022

4. Multi-Task Language Modeling for Improving Speech Recognition of Rare Words

5. Model Inversion Attacks that Exploit Confidence Information and Basic Countermeasures

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1. Beam Refinement for THz Extremely Large-Scale MIMO Systems Based on Gaussian Approximation;GLOBECOM 2023 - 2023 IEEE Global Communications Conference;2023-12-04

2. Enhancing Privacy Preservation with Quantum Computing for Word-Level Audio-Visual Speech Recognition;2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC);2023-10-31

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