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20212026
most citedQuantifying the perceptual value of lexical and non-lexical channels in speech

2 citations · 2 across the 5 of their papers we have counts for

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cs.CL2026

RealityTest: How People Probe AI Identity and Whether Models Disclose It

Anna Gausen, Sarenne Wallbridge, Bessie O'Dell +2

AI systems are increasingly deployed in conversational settings where users may be uncertain whether they are speaking with a human or an AI. Despite mounting regulatory attention…

cs.CL2025

Prosodic Structure Beyond Lexical Content: A Study of Self-Supervised Learning

Sarenne Wallbridge, Christoph Minixhofer, Catherine Lai +1

People exploit the predictability of lexical structures during text comprehension. Though predictable structure is also present in speech, the degree to which prosody, e.g. intonat…

cs.CL2023

Information Value: Measuring Utterance Predictability as Distance from Plausible Alternatives

Mario Giulianelli, Sarenne Wallbridge, Raquel Fernández

We present information value, a measure which quantifies the predictability of an utterance relative to a set of plausible alternatives. We introduce a method to obtain interpretab…

cs.CL2023★ 2 cited

Quantifying the perceptual value of lexical and non-lexical channels in speech

Sarenne Wallbridge, Peter Bell, Catherine Lai

Speech is a fundamental means of communication that can be seen to provide two channels for transmitting information: the lexical channel of which words are said, and the non-lexic…

cs.CL2021

It's not what you said, it's how you said it: discriminative perception of speech as a multichannel communication system

Sarenne Wallbridge, Peter Bell, Catherine Lai

People convey information extremely effectively through spoken interaction using multiple channels of information transmission: the lexical channel of what is said, and the non-lex…