<div dir="ltr"><span style="font-size:12pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-style:italic;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Please circulate among your teams. Inviting submissions for (hybrid) ICASSP 2024 Workshop on Trustworthy Speech Processing (TSP)<span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"> <span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Submission deadlines: <span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"> January 20th, 2024, AoE (to be considered for archival on IEEE Xplore)<span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"> February 20th, 2024 AoE (non-archival) <span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Author Notification: Two weeks after each deadline above<span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Workshop Date: TBD<span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"> <span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Workshop Website: <a href="http://trustworthyspeechprocessing.github.io/" target="_blank">trustworthyspeechprocessing.github.io</a><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(205,92,18);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"> <span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(205,92,18);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"> <span style="font-size:12pt;font-family:Calibri,sans-serif;color:rgb(205,92,18);background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Overview<span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(205,92,18);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"> <span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Given the ubiquity of Machine Learning (ML) systems and their relevance in daily lives, it is important to ensure private and safe handling of data alongside equity in human experience. These considerations have gained considerable interest in recent times under the realm of Trustworthy ML. Speech processing in particular presents a unique set of challenges, given the rich information carried in linguistic and paralinguistic content including speaker trait, interaction and state characteristics including health status. In this workshop on Trustworthy Speech Processing (TSP), we aim to bring together new and experienced researchers working on trustworthy ML and speech processing. We invite novel and relevant submissions from both academic and industrial research groups showcasing theoretical and empirical advancements in TSP.<span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"> <span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"> <span style="font-size:12pt;font-family:Calibri,sans-serif;color:rgb(205,92,18);background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Call for Papers<span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(205,92,18);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"> <span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">We invite novel and unpublished research publications (negative results are welcome too) as well as position papers from any topic in Trustworthy Speech Processing (including ones listed above). Submissions should follow the official <a href="https://cmsworkshops.com/ICASSP2024/papers/paper_kit.php" target="_blank" style="text-decoration-line:none"><span style="font-size:11pt;font-family:Calibri,sans-serif;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;text-decoration-line:underline;vertical-align:baseline">ICASSP template</a><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"> and include a maximum of 4 pages of technical content followed by references. However, you are welcome to include supplementary material of any length after references.<span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Topics of interest cover a variety of papers centered on speech processing, including (but not limited to):<ol style="margin-top:0px;margin-bottom:0px"><li dir="ltr" style="margin-left:15px;list-style-type:decimal;font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Differential privacy</li><li dir="ltr" style="margin-left:15px;list-style-type:decimal;font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Bias and Fairness</li><li dir="ltr" style="margin-left:15px;list-style-type:decimal;font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Federated learning</li><li dir="ltr" style="margin-left:15px;list-style-type:decimal;font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Ethics in speech processing</li><li dir="ltr" style="margin-left:15px;list-style-type:decimal;font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Model interpretability</li><li dir="ltr" style="margin-left:15px;list-style-type:decimal;font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Quantifying & mitigating bias in speech processing</li><li dir="ltr" style="margin-left:15px;list-style-type:decimal;font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">New datasets, frameworks and benchmarks for TSP</li><li dir="ltr" style="margin-left:15px;list-style-type:decimal;font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Discovery and defense against emerging privacy attacks</li><li dir="ltr" style="margin-left:15px;list-style-type:decimal;font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Trustworthy ML in applications of speech processing like ASR</li></ol><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Submissions are managed via OpenReview, please submit your papers <a href="https://openreview.net/group?id=ICASSP/2024/Workshop/TSP" target="_blank" style="text-decoration-line:none"><span style="font-size:11pt;font-family:Calibri,sans-serif;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;text-decoration-line:underline;vertical-align:baseline">here</a><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">. Authors have an option to publish their papers in IEEE Xplore (archival mode); if you wish to do this, please submit before January 20th. We will also support remote presentations in case you are unable to travel in person.<span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"> <span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(205,92,18);background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Organizers<span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"> Anil Ramakrishna, Amazon Inc.; Shrikanth Narayanan, University of Southern California; Rahul Gupta, Amazon Inc.; Isabel Trancoso, University of Lisbon; Bhiksha Raj, Carnegie Mellon University; Theodora Chaspari, Texas A&M University.<div class="gmail-yj6qo"></div><div class="gmail-adL"> </div></div>