Speech pre-training has primarily demonstrated efficacy on classification tasks, while its
capability of generating novel speech, similar to how GPT-2 can generate coherent …

It has now been 50 years since the publication of Luhn's seminal paper on automatic
summarization. During these years the practical need for automatic summarization has …

We describe a statistical approach for modeling dialogue acts in conversational speech, ie,
speech-act-like units such as Statement, Question, Backchannel, Agreement, Disagreement …

Computational research with continuous representations depends on obtaining continuous
representations from human labellers. The main method used for that purpose is tracing …

The expression and experience of human behavior are complex and multimodal and
characterized by individual and contextual heterogeneity and variability. Speech and …

This paper reports three studies aimed at addressing three questions about the acoustic
correlates of information structure in English:(1) do speakers mark information structure …

This work presents an approach to emotion recognition of affective speech based on
multiple classifiers using acoustic-prosodic information (AP) and semantic labels (SLs). For …

Language is more than words: it includes the prosodic features and patterns that we use,
subconsciously, to frame meanings and achieve our goals in our interaction with others …

Effective human and automatic processing of speech requires recovery of more than just the
words. It also involves recovering phenomena such as sentence boundaries, filler words …

This article contains a literature review of evidence of large prosodic domains that
correspond to syntactic units such as a clause or a sentence. In particular, different phonetic …