The task of identifying when to take a conversational turn is an important function of spoken
dialogue systems. The turn-taking system should also ideally be able to handle many types …

Turn-taking, aiming to decide when the next speaker can start talking, is an essential
component in building human-robot spoken dialogue systems. Previous studies indicate that …

We address turn-taking prediction in which spoken dialogue systems predict when to take
the conversational floor. In natural conversations, many turn-taking decisions are arbitrary …

In this paper we address the problem of turn-taking prediction in open-ended
communication between humans and dialogue agents. In a non-task-oriented interaction …

Abstract An End-Of-Turn Detection Module (EOTD-M) is an essential component of
automatic Spoken Dialogue Systems. The capability of correctly detecting whether a user's …

Turn change prediction and next speaker prediction are two important tasks in multimodal,
multiparty human-agent interaction. Predicting a change of dialogue turn and the most …

Language Models (LMs) have been ubiquitously leveraged in various tasks including
spoken language understanding (SLU). Spoken language requires careful understanding of …

A brand new neural network based precise timing generation framework, named the Timing
Generating Network (TGN), is proposed and applied to turn-taking timing decision problems …

As the volume of recorded conversations continues to surge, so does the need for their
automatic processing. Plenty of information beyond words may be extracted from the speech …

Self-supervised pre-trained models have consistently delivered state-of-art results in the
fields of natural language and speech processing. However, we argue that their merits for …