An Ensemble Teacher-Student Learning Approach with Poisson Sub-sampling to Differential Privacy Preserving Speech Recognition-Reference-Cited by-同舟云学术

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An Ensemble Teacher-Student Learning Approach with Poisson Sub-sampling to Differential Privacy Preserving Speech Recognition

Published:2022-12-11 Issue: Volume: Page:
ISSN:
Container-title:2022 13th International Symposium on Chinese Spoken Language Processing (ISCSLP)
language:
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Author:

Yang Chao-Han Huck¹,Qi Jun¹,Siniscalchi Sabato Marco¹,Lee Chin-Hui¹

Affiliation:

1. Georgia Institute of Technology,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10037756/10037573/10038060.pdf?arnumber=10038060

Reference37 articles.

1. Scalable private learning with pate;papernot;International Conference on Learning Representations,2018

2. ESPnet: End-to-End Speech Processing Toolkit

3. Poission subsampled rényi differential privacy;zhu;International Conference on Machine Learning,2019

4. Consistent Training and Decoding for End-to-End Speech Recognition Using Lattice-Free MMI

5. Decentralizing Feature Extraction with Quantum Convolutional Neural Network for Automatic Speech Recognition

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1. Adapting Pre-Trained Self-Supervised Learning Model for Speech Recognition with Light-Weight Adapters;Electronics;2024-01-01

2. Temporal Differential Privacy for Human Activity Recognition;2023 IEEE 10th International Conference on Data Science and Advanced Analytics (DSAA);2023-10-09

3. Blueprint Separable Subsampling and Aggregate Feature Conformer-Based End-to-End Neural Diarization;Electronics;2023-10-02

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