InterSpeech 2021

Privacy-preserving Machine Learning for Audio & Speech Processing

Privacy-preserving voice anti-spoofing using secure multi-party computation
(3 minutes introduction)

Oubaïda Chouchane (EURECOM, France), Baptiste Brossier (EURECOM, France), Jorge Esteban Gamboa Gamboa (EURECOM, France), Thomas Lardy (EURECOM, France), Hemlata Tak (EURECOM, France), Orhan Ermis (EURECOM, France), Madhu R. Kamble (EURECOM, France), Jose Patino (EURECOM, France), Nicholas Evans (EURECOM, France), Melek Önen (EURECOM, France), Massimiliano Todisco (EURECOM, France)

Configurable Privacy-Preserving Automatic Speech Recognition
(3 minutes introduction)

Ranya Aloufi (Imperial College London, UK), Hamed Haddadi (Imperial College London, UK), David Boyle (Imperial College London, UK)

Adjunct-Emeritus Distillation for Semi-Supervised Language Model Adaptation
(3 minutes introduction)

Scott Novotney (Amazon, USA), Yile Gu (Amazon, USA), Ivan Bulyko (Amazon, USA)

Communication-Efficient Agnostic Federated Averaging
(3 minutes introduction)

Jae Ro (Google, USA), Mingqing Chen (Google, USA), Rajiv Mathews (Google, USA), Mehryar Mohri (Google, USA), Ananda Theertha Suresh (Google, USA)

Communication-Efficient Agnostic Federated Averaging
(longer introduction)

Jae Ro (Google, USA), Mingqing Chen (Google, USA), Rajiv Mathews (Google, USA), Mehryar Mohri (Google, USA), Ananda Theertha Suresh (Google, USA)

Privacy-Preserving Feature Extraction for Cloud-Based Wake Word Verification
(3 minutes introduction)

Timm Koppelmann (Ruhr-Universität Bochum, Germany), Alexandru Nelus (Ruhr-Universität Bochum, Germany), Lea Schönherr (Ruhr-Universität Bochum, Germany), Dorothea Kolossa (Ruhr-Universität Bochum, Germany), Rainer Martin (Ruhr-Universität Bochum, Germany)

PATE-AAE: Incorporating Adversarial Autoencoder into Private Aggregation of Teacher Ensembles for Spoken Command Classification
(3 minutes introduction)

Chao-Han Huck Yang (Georgia Tech, USA), Sabato Marco Siniscalchi (Georgia Tech, USA), Chin-Hui Lee (Georgia Tech, USA)

PATE-AAE: Incorporating Adversarial Autoencoder into Private Aggregation of Teacher Ensembles for Spoken Command Classification
(longer introduction)

Chao-Han Huck Yang (Georgia Tech, USA), Sabato Marco Siniscalchi (Georgia Tech, USA), Chin-Hui Lee (Georgia Tech, USA)

SynthASR: Unlocking Synthetic Data for Speech Recognition
(3 minutes introduction)

Amin Fazel (Amazon, USA), Wei Yang (Amazon, USA), Yulan Liu (Amazon, UK), Roberto Barra-Chicote (Amazon, UK), Yixiong Meng (Amazon, USA), Roland Maas (Amazon, USA), Jasha Droppo (Amazon, USA)