activity
20182021
most citedSpeech2Properties2Gestures: Gesture-Property Prediction as a Tool for Generating Representational Gestures from Speech

23 citations · 24 across the 4 of their papers we have counts for

collaborators

8 papers

stat.CO2021

Approximation Methods for Mixed Models with Probit Link Functions

Benjamin Christoffersen, Mark Clements, Hedvig Kjellström +1

We study approximation methods for a large class of mixed models with a probit link function that includes mixed versions of the binomial model, the multinomial model, and generali…

cs.HC202123 cited

Speech2Properties2Gestures: Gesture-Property Prediction as a Tool for Generating Representational Gestures from Speech

Taras Kucherenko, Rajmund Nagy, Patrik Jonell +3

We propose a new framework for gesture generation, aiming to allow data-driven approaches to produce more semantically rich gestures. Our approach first predicts whether to gesture…

cs.HC20211 cited

A Framework for Integrating Gesture Generation Models into Interactive Conversational Agents

Rajmund Nagy, Taras Kucherenko, Birger Moell +3

Embodied conversational agents (ECAs) benefit from non-verbal behavior for natural and efficient interaction with users. Gesticulation - hand and arm movements accompanying speech…

cs.LG2020

How Do Fair Decisions Fare in Long-term Qualification?

Xueru Zhang, Ruibo Tu, Yang Liu +4

Although many fairness criteria have been proposed for decision making, their long-term impact on the well-being of a population remains unclear. In this work, we study the dynamic…

cs.CV2020

Moving fast and slow: Analysis of representations and post-processing in speech-driven automatic gesture generation

Taras Kucherenko, Dai Hasegawa, Naoshi Kaneko +2

This paper presents a novel framework for speech-driven gesture production, applicable to virtual agents to enhance human-computer interaction. Specifically, we extend recent deep-…

cs.LG2020

Bayesian nonparametric shared multi-sequence time series segmentation

Olga Mikheeva, Ieva Kazlauskaite, Hedvig Kjellström +1

In this paper, we introduce a method for segmenting time series data using tools from Bayesian nonparametrics. We consider the task of temporal segmentation of a set of time series…