For over a century, psychology has focused on uncovering mental processes of a single
individual. However, humans rarely navigate the world in isolation. The most important …

Speech is the fundamental mode of human communication, and its synthesis has long been
a core priority in human–computer interaction research. In recent years, machines have …

Dialogue emotion detection is always challenging due to human subjectivity and the
randomness of dialogue content. In a conversation, the emotion of each person often …

The remarkable success of transformers in the field of natural language processing has
sparked the interest of the speech-processing community, leading to an exploration of their …

The Multimodal Sentiment Analysis Challenge (MuSe) 2023 is a set of shared tasks
addressing three different contemporary multimodal affect and sentiment analysis problems …

The task of the challenge is to develop a voice anonymization system for speech data which
conceals the speaker's voice identity while protecting linguistic content and emotional states …

Speech-centric machine learning systems have revolutionized a number of leading
industries ranging from transportation and healthcare to education and defense …

Speech emotion recognition (SER) as a Machine Learning (ML) problem continues to
garner a significant amount of research interest, especially in the affective computing …

Abstract Recent Text-to-Speech (TTS) systems trained on reading or acted corpora have
achieved near human-level naturalness. The diversity of human speech, however, often …

Paralinguistic speech processing is important in addressing many issues, such as sentiment
and neurocognitive disorder analyses. Recently, Transformer has achieved remarkable …