6 citations · 19 across the 22 of their papers we have counts for
16 papers · 1 filter
Do Factual Recall Mechanisms Carry over from Text to Speech in Multimodal Language Models?
Luca Modica, Filip Landin, Mehrdad Farahani +3
In recent years, several Speech Language Models (SLMs) that represent speech and written text jointly have been presented. The question then emerges about how model-internal mechan…
Investigating the Representation of Backchannels and Fillers in Fine-tuned Language Models
Yu Wang, Leyi Lao, Langchu Huang +3
Backchannels and fillers are important linguistic expressions in dialogue, but often treated as 'noise' to be bypassed in modern transformer-based language models (LMs). Here, we s…
Detecting Referring Expressions in Visually Grounded Dialogue with Autoregressive Language Models
Bram Willemsen, Gabriel Skantze
In this paper, we explore the use of a text-only, autoregressive language modeling approach for the extraction of referring expressions from visually grounded dialogue. More specif…
Representation of perceived prosodic similarity of conversational feedback
Livia Qian, Carol Figueroa, Gabriel Skantze
Vocal feedback (e.g., `mhm', `yeah', `okay') is an important component of spoken dialogue and is crucial to ensuring common ground in conversational systems. The exact meaning of s…
Yeah, Un, Oh: Continuous and Real-time Backchannel Prediction with Fine-tuning of Voice Activity Projection
Koji Inoue, Divesh Lala, Gabriel Skantze +1
In human conversations, short backchannel utterances such as "yeah" and "oh" play a crucial role in facilitating smooth and engaging dialogue. These backchannels signal attentivene…
Referring Expression Generation in Visually Grounded Dialogue with Discourse-aware Comprehension Guiding
Bram Willemsen, Gabriel Skantze
We propose an approach to referring expression generation (REG) in visually grounded dialogue that is meant to produce referring expressions (REs) that are both discriminative and…
Joint Learning of Context and Feedback Embeddings in Spoken Dialogue
Livia Qian, Gabriel Skantze
Short feedback responses, such as backchannels, play an important role in spoken dialogue. So far, most of the modeling of feedback responses has focused on their timing, often neg…
Multilingual Turn-taking Prediction Using Voice Activity Projection
Koji Inoue, Bing'er Jiang, Erik Ekstedt +2
This paper investigates the application of voice activity projection (VAP), a predictive turn-taking model for spoken dialogue, on multilingual data, encompassing English, Mandarin…
An Analysis of User Behaviors for Objectively Evaluating Spoken Dialogue Systems
Koji Inoue, Divesh Lala, Keiko Ochi +2
Establishing evaluation schemes for spoken dialogue systems is important, but it can also be challenging. While subjective evaluations are commonly used in user experiments, object…
Real-time and Continuous Turn-taking Prediction Using Voice Activity Projection
Koji Inoue, Bing'er Jiang, Erik Ekstedt +2
A demonstration of a real-time and continuous turn-taking prediction system is presented. The system is based on a voice activity projection (VAP) model, which directly maps dialog…
Towards Objective Evaluation of Socially-Situated Conversational Robots: Assessing Human-Likeness through Multimodal User Behaviors
Koji Inoue, Divesh Lala, Keiko Ochi +2
This paper tackles the challenging task of evaluating socially situated conversational robots and presents a novel objective evaluation approach that relies on multimodal user beha…
Collecting Visually-Grounded Dialogue with A Game Of Sorts
Bram Willemsen, Dmytro Kalpakchi, Gabriel Skantze
An idealized, though simplistic, view of the referring expression production and grounding process in (situated) dialogue assumes that a speaker must merely appropriately specify t…
Using Large Language Models for Zero-Shot Natural Language Generation from Knowledge Graphs
Agnes Axelsson, Gabriel Skantze
In any system that uses structured knowledge graph (KG) data as its underlying knowledge representation, KG-to-text generation is a useful tool for turning parts of the graph data…
What makes a good pause? Investigating the turn-holding effects of fillers
Bing'er Jiang, Erik Ekstedt, Gabriel Skantze
Filled pauses (or fillers), such as "uh" and "um", are frequent in spontaneous speech and can serve as a turn-holding cue for the listener, indicating that the current speaker is n…
Response-conditioned Turn-taking Prediction
Bing'er Jiang, Erik Ekstedt, Gabriel Skantze
Previous approaches to turn-taking and response generation in conversational systems have treated it as a two-stage process: First, the end of a turn is detected (based on conversa…
The Open-domain Paradox for Chatbots: Common Ground as the Basis for Human-like Dialogue
Gabriel Skantze, A. Seza Doğruöz
There is a surge in interest in the development of open-domain chatbots, driven by the recent advancements of large language models. The "openness" of the dialogue is expected to b…