Call for papers:
Inclusive and Fair Speech Technologies
Special Session at Interspeech 2022
https://sites.google.com/view/fair-speech-interspeech22/
September 18 - 22, 2022
Incheon, South Korea
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Automatic speech recognition systems have dramatically improved over the past decade thanks to the advances brought by deep learning and the effort on large-scale data collection. For some groups of people, however, speech technology works less well, maybe because their speech patterns differ significantly from the standard dialect (e.g., because of regional accent), because of intra-group heterogeneity (e.g., speakers of regional African American dialects; second-language learners; and other demographic aspects such as age, gender, or race), or because the speech pattern of each individual in the group exhibits a large variability (e.g., people with severe disabilities).
The goal of this special session is (1) to discuss these biases and propose methods for making speech technologies more useful to heterogeneous populations and (2) to increase academic and industry collaborations to reach these goals.
Such methods include:
- analysis of performance biases among different social/linguistic groups in speech technology,
- new methods to mitigate these differences,
- new approaches for data collection, curation and coding,
- new algorithmic training criteria,
- new methods for envisioning speech technology task descriptions and design criteria.
Moreover, the special session aims to foster cross-disciplinary collaboration between fairness and personalization research, which has the potential to both improve customer experiences and algorithm fairness. The special session will bring experts from both fields to advance the cross-disciplinary study between fairness and personalization, e.g., fairness-aware personalization.
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Important Dates:
Paper submission deadline: March 21, 2022, 23:59, AoE.
Paper update deadline: March 28, 2022, 23:59, AoE.
Interspeech conference dates: September 18 to 22, 2022.
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Author Guidelines:
Papers have to be submitted following the same schedule and procedure as the main conference, and will undergo the same review process.
Submit your papers here:
www.softconf.com/m/interspeech2022 and select the 'Submission Topic' 14.5 to include your work in this session.
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Organizers:
Laurent Besacier, Naver Labs Europe, France
Keith Burghardt, USC Information Sciences Institute, USA
Alice Coucke, Sonos Inc., France
Mark Allan Hasegawa-Johnson, University of Illinois, USA
Peng Liu, Amazon Alexa, USA
Anirudh Mani, Amazon Alexa, USA
Mahadeva Prasanna, IIT Dharwad, India
Priyankoo Sarmah, IIT Guwahati, India
Odette Scharenborg, Delft University of Technology, the Netherlands
Tao Zhang, Amazon Alexa, USA
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Alice Coucke
Head of Machine Learning Research | Sonos Voice Experience
