activity
20222026
most citedRead the Room: Adapting a Robot's Voice to Ambient and Social Contexts

3 citations · 6 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CL2026

Covertly improving intelligibility with data-driven adaptations of speech timing

Paige Tuttösí, Angelica Lim, H. Henny Yeung +2

Human talkers often address listeners with language-comprehension challenges, such as hard-of-hearing or non-native adults, by globally slowing down their speech. However, it remai…

cs.RO2025

I Know You're Listening: Adaptive Voice for HRI

Paige Tuttösí

While the use of social robots for language teaching has been explored, there remains limited work on a task-specific synthesized voices for language teaching robots. Given that la…

cs.RO2025

EmojiVoice: Towards long-term controllable expressivity in robot speech

Paige Tuttösí, Shivam Mehta, Zachary Syvenky +3

Humans vary their expressivity when speaking for extended periods to maintain engagement with their listener. Although social robots tend to be deployed with ``expressive'' joyful…

cs.LG2025

CoMPAS3D: A Dataset and Benchmark for Interactive Motion

Bermet Burkanova, Yasaman Etesam, Payam Jome Yazdian +5

Socially interactive humanoids aim to interact with humans through their bodies, adapting in real time to a partner's movement, intent, and abilities. This requires models that und…

cs.SD2025

You Sound a Little Tense: L2 Tailored Clear TTS Using Durational Vowel Properties

Paige Tuttösí, H. Henny Yeung, Yue Wang +2

We present the first text-to-speech (TTS) system tailored to second language (L2) speakers. We use duration differences between American English tense (longer) and lax (shorter) vo…

cs.SD2024★ 1 cited

Mmm whatcha say? Uncovering distal and proximal context effects in first and second-language word perception using psychophysical reverse correlation

Paige Tuttösí, H. Henny Yeung, Yue Wang +4

Acoustic context effects, where surrounding changes in pitch, rate or timbre influence the perception of a sound, are well documented in speech perception, but how they interact wi…

cs.RO2024

Good Things Come in Trees: Emotion and Context Aware Behaviour Trees for Ethical Robotic Decision-Making

Paige Tuttösí, Zhitian Zhang, Emma Hughson +1

Emotions guide our decision making process and yet have been little explored in practical ethical decision making scenarios. In this challenge, we explore emotions and how they can…

cs.CL2023★ 2 cited

Time out of Mind: Generating Rate of Speech conditioned on emotion and speaker

Navjot Kaur, Paige Tuttosi

Voice synthesis has seen significant improvements in the past decade resulting in highly intelligible voices. Further investigations have resulted in models that can produce variab…

cs.RO2022★ 3 cited

Read the Room: Adapting a Robot's Voice to Ambient and Social Contexts

Paige Tuttosi, Emma Hughson, Akihiro Matsufuji +1

How should a robot speak in a formal, quiet and dark, or a bright, lively and noisy environment? By designing robots to speak in a more social and ambient-appropriate manner we can…