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Naomi Harte

4 papers hereh-index 229 citations6 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • last author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL2
  • cs.SD2
same name
  • Naomi Harte — 15 papers, h 24
  • Naomi Harte — 5 papers, h 2
  • Naomi Harte — 5 papers, h 3
  • Naomi Harte — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedVisual Cues Support Robust Turn-taking Prediction in Noise

1 citations · 1 across the 3 of their papers we have counts for

collaborators

4 papers

cs.SD2026

Audio-Visual Turn-taking Prediction in Cocktail Party Scenarios

Long-Vu Hoang, Naomi Harte

Current predictive turn-taking models (PTTMs) achieve strong performance on benchmarks with controlled acoustic conditions and clean audio signals. Their generalisation to conversa…

cs.CL2026

The Role of Prosodic and Lexical Cues in Turn-Taking with Self-Supervised Speech Representations

Sam OConnor Russell, Delphine Charuau, Naomi Harte

Fluid turn-taking remains a key challenge in human-robot interaction. Self-supervised speech representations (S3Rs) have driven many advances, but it remains unclear whether S3R-ba…

cs.SD2025★ 1 cited

Visual Cues Support Robust Turn-taking Prediction in Noise

Sam O'Connor Russell, Naomi Harte

Accurate predictive turn-taking models (PTTMs) are essential for naturalistic human-robot interaction. However, little is known about their performance in noise. This study therefo…

cs.CL2025

Visual Cues Enhance Predictive Turn-Taking for Two-Party Human Interaction

Sam O'Connor Russell, Naomi Harte

Turn-taking is richly multimodal. Predictive turn-taking models (PTTMs) facilitate naturalistic human-robot interaction, yet most rely solely on speech. We introduce MM-VAP, a mult…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.