Whispering Under the Eaves: Protecting User Privacy Against Commercial and LLM-powered Automatic Speech Recognition Systems

Here are the materials related to AudioShield, including: source_code.zip: The source code of AudioShield. datasets.zip: The training and testing datasets, processed in pickle format and ready for use. The 500 samples from Librispeech are used for training, and 2000 samples from VCTK are used for testing. pretrained_models.zip: The pre-trained models required for training and testing, including the locally trained target ASR model, DeepSpeech, and the Autoencoder model VITS used by AudioShield. Please unzip the files in datasets.zip into the source_code/datasets folder, and unzip the files in pretrained_models.zip into the source_code/pretrained folder. For detailed installation and usage instructions, please refer to the README file in the source_code folder.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-30
DOI
https://doi.org/10.5281/zenodo.14711219
Primary Topic
Speech Recognition and Synthesis
Type
article
Field-Weighted Citation Impact
0.00
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article

Whispering Under the Eaves: Protecting User Privacy Against Commercial and LLM-powered Automatic Speech Recognition Systems

Zenodo (CERN European Organization for Nuclear Research)
Speech Recognition and Synthesis
article

Whispering Under the Eaves: Protecting User Privacy Against Commercial and LLM-powered Automatic Speech Recognition Systems

article en

Abstract

Here are the materials related to AudioShield, including: source_code.zip: The source code of AudioShield. datasets.zip: The training and testing datasets, processed in pickle format and ready for use. The 500 samples from Librispeech are used for training, and 2000 samples from VCTK are used for testing. pretrained_models.zip: The pre-trained models required for training and testing, including the locally trained target ASR model, DeepSpeech, and the Autoencoder model VITS used by AudioShield. Please unzip the files in datasets.zip into the source_code/datasets folder, and unzip the files in pretrained_models.zip into the source_code/pretrained folder. For detailed installation and usage instructions, please refer to the README file in the source_code folder.

Zenodo (CERN European Organization for Nuclear Research)
Beijing University of Posts and Telecommunications (CN)
Peace, Justice and strong institutions
Openalex Percentile: Top 75%
Speech Recognition and Synthesis
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Whispering Under the Eaves: Protecting User Privacy Against Commercial and LLM-powered Automatic Speech Recognition Systems · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS