Texas A&M University
Title: Emotion and Affective Speech Processing/Technology
Survey Talk 3 Wednesday 21 September, 12:10-12:40 KST at R116-118
In the era of Internet of Things (IoT) and artificial intelligence (AI), voice-enabled technologies promise a unique opportunity for bettering our lives via human-centered services. Affective speech processing is central to such technologies, since speech can be a valuable indicator of emotion, communicative intent, and social behavior. However, the implementation and broad adoption of speech-enabled affective technologies comes with various computational and societal challenges, that yield from the complex and heterogeneous data spaces, limited availability of reliably labelled data, inherently high inter-individual variability, and the risk of leaking of personally identifiable information. This talk will overview the major challenges in designing robust speech emotion recognition models for supporting human-centered affective technologies, present recent advances on privacy preservation, fairness, and explainability, and discuss thoughts on rendering these technologies trustworthy to the stakeholders and the general public.