Privacy-preserving Machine Learning for Audio & Speech Processing -- INTERSPEECH 2021 Special Session


Artificial Intelligence

Call for papers: Privacy-preserving Machine Learning for Audio & Speech Processing -- INTERSPEECH 2021 Special Session
Conference dates: August 30 - September 3, 2020
This special session focuses on privacy-preserving machine learning (PPML) techniques in speech, language and audio processing, including centralized, distributed and on-device processing approaches. Novel contributions and overviews on the theory and applications of PPML in speech, language and audio are invited. We encourage submissions related to ethical and regulatory aspects of PPML in this context.
Relevant topics include but are not limited to:
Theory, implementation and applications of statistical notions of privacy such as Differential Privacy
Federated or decentralized learning for speech, language and audio processing.
Privacy-preserving representation learning for audio and speech tasks, including Adversarial approaches
On-device training, adaptation and inference of audio ML models
Hardware optimization, sparsity, quantization, power savings and algorithmic trade-offs for on-device training and inference
Generation and usage of synthetic speech, text, and audio for training ML models for Speech Recognition, Speaker Recognition, Keyword Spotting, etc.
Secure multi-party computation, homomorphic encryption, secure enclaves, privacy attacks and mitigation approaches for PPML in audio and speech processing.
Machine learning on encrypted speech, language, and audio data
Tools, processes and benchmarks for PPML in speech, language, and audio processing
Paper Submission
Papers for PPML Special Session have to be submitted following the same schedule and procedure as regular papers of INTERSPEECH 2021. The submitted papers will undergo the same review process by anonymous and independent reviewers.
Submission url:
Submission deadline: same as INTERSPEECH submission deadline (March 26, 2021)
Notification of acceptance: June 2, 2021
Camera Ready: June 15, 2021
Harishchandra Dubey (Microsoft Research)
Amin Fazel (Amazon)
Mirco Ravanelli (MILA ,Université de Montréal)
Emmanuel Vincent ( Inria)