Robust Pretrained Acoustic Models
On the theme of invariance, we would also like to announce an upcoming Special Session at Interspeech 2023 (not directly linked to ZeroSpeech) which will likely be of interest to members of the community. The theme is “Invariant and Robust Pretrained Acoustic Models”:
perceptimatic.github.io/irpam2023
The session seeks to kick off an important discussion about questions about invariances and robustness in pre-trained acoustic models. Do the representations remain consistent across instances of the same phoneme in different phonetic contexts (i.e., are they phonemic or merely allophone representations)? Do they hold up under noise and distortions? Are they invariant to different talkers and/or accents? The 2023 Interspeech Special Session on Invariant and Robust Pretrained Acoustic Models (IRPAM) aims to address both the evaluation problem and the problem of invariance in pretrained acoustic models.
Submissions for IRPAM will follow the same schedule and procedure as the main Interspeech 2023 conference, which will be held in-person in Dublin interspeech2023.org
Paper submission deadline: March 1st, 2023, 23:59, Anywhere on Earth.
Paper update deadline: March 8th, 2023, 23:59, Anywhere on Earth.
Author notification: May 17th, 2023
Interspeech conference dates: August 20th to 24th, Dublin, Ireland
Please see the IRPAM 2023 website for more details.