Yi Profile
Yi

@Yi_Zhuuu

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Research Scientist interested in human-centric applications

Montréal, Québec
Joined July 2022
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@Yi_Zhuuu
Yi
2 years
Excited to share our recent work on investigating the impact of voice anonymization on speech-based COVID-19 diagnostics!. Link: (1/).
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arxiv.org
With advances seen in deep learning, voice-based applications are burgeoning, ranging from personal assistants, affective computing, to remote disease diagnostics. As the voice contains both...
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@Yi_Zhuuu
Yi
2 years
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@ieeeICASSP
IEEE ICASSP
2 years
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@Yi_Zhuuu
Yi
2 years
RT @MuSAELab: Check out our latest paper "COVID-19 Detection via Fusion of Modulation Spectrum and Linear Prediction Speech Features" at IE….
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@Yi_Zhuuu
Yi
2 years
Interested in our research in speech and cybersecurity? Consider following this account or our lab account @MuSAELab.
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@Yi_Zhuuu
Yi
2 years
(7/7) .Q4: Can we protect privacy while maintaining high diagnostics accuracy?.ANSWER: Existing anonymization methods substitute the entire speaker embedding, making it difficult to do so. However, we found including anonymized speech samples in training data improves accuracy.
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@Yi_Zhuuu
Yi
2 years
(6/7) .Q3: Why does diagnostics accuracy degrade?.ANSWER: The shifts of different speech features may give a clue. Less shift is seen with logmelspec ones, which are mostly correlated with speech content; more with the paralinguistic features (opensMILE/Modulation spectrum).
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@Yi_Zhuuu
Yi
2 years
(5/7).Q2: Will this affect diagnostics accuracy?.ANSWER: Yes. The most severe degradation is observed when training and test data are anonymized using different methods (B&C). However, when the exact same methods are used, accuracy is much less affected (D).
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@Yi_Zhuuu
Yi
2 years
(4/7) .Q1: Can anonymization tools effectively obfuscate user's identity? .ANWEWR: We experimented two types of anonymization methods. GAN-based approach is shown to be more effective than signal processing based method.
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@Yi_Zhuuu
Yi
2 years
(3/7) Listen to anonymized audios here: .
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@Yi_Zhuuu
Yi
2 years
(2/7) We argue that voice anonymization could potentially be a useful tool, to remove user's identity before the recording is upload to cloud.
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@Yi_Zhuuu
Yi
2 years
(1/7) In existing speech diagnostics systems, voice recordings usually need to be uploaded to cloud where the large DNN models are deployed at. However, such process may lead to data privacy issues:
adguard.com
Voice assistants are undemanding helpers, always ready to take on the most boring chores. However, they can spy on you and allow others to eavesdrop on your conversations. Weigh the risks when you...
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@Yi_Zhuuu
Yi
2 years
RT @MuSAELab: @BrennanSpiegel The Sensiks pod is very cool. We’ve quantified the impact of adding the different sensory stimuli on e.g., re….
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@Yi_Zhuuu
Yi
3 years
RT @MuSAELab: Thank you for the shout out @LHonnorat ! It was a great event! @inrsciences.
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@Yi_Zhuuu
Yi
3 years
ICASSP back to in-person :) and Rhodes island :)
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