Glottal inverse filtering (GIF) refers to methods of estimating the source of voiced speech, the
glottal volume velocity waveform. GIF is based on the idea of inversion, in which the effects …

Electroglottography (EGG) is a low-cost, noninvasive technology for measuring changes of
relative vocal fold contact area during laryngeal voice production. EGG was introduced …

Multimodal sentiment analysis is an increasingly popular research area, which extends the
conventional language-based definition of sentiment analysis to a multimodal setup where …

Multi-view sequential learning is a fundamental problem in machine learning dealing with
multi-view sequences. In a multi-view sequence, there exists two forms of interactions …

Learning multimodal representations involves integrating information from multiple
heterogeneous sources of data. It is a challenging yet crucial area with numerous real-world …

Multimodal sentiment analysis is a core research area that studies speaker sentiment
expressed from the language, visual, and acoustic modalities. The central challenge in …

Speech processing algorithms are often developed demonstrating improvements over the
state-of-the-art, but sometimes at the cost of high complexity. This makes algorithm …

Computational modeling of human multimodal language is an emerging research area in
natural language processing spanning the language, visual and acoustic modalities …

There is not one kind, but instead several kinds, of creaky voice, or creak. There is no single
defining property shared by all kinds. Instead, each kind exhibits some properties but not …

This paper explores the role of voice quality in the communication of emotions, moods and
attitudes. Listeners' reactions to an utterance synthesised with seven different voice qualities …