Evidence map›Paper›PMID 40181888›Full record

ArticleFrontiers in psychology2025

Factors modulating perception and production of speech by AI tools: a test case of Amazon Alexa and Polly.

Jae Yung Song, Charles Rojas, Anne Pycha

Abstract read
In one paragraph

Article in Frontiers in psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Jae Yung SongDepartment of English Language and Literature, Chung-Ang University, Seoul, Republic of Korea.
Charles RojasDepartment of Linguistics, University of Wisconsin-Milwaukee, Milwaukee, WI, United States.
Anne PychaDepartment of Linguistics, University of Wisconsin-Milwaukee, Milwaukee, WI, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To develop AI tools that can communicate on par with human speakers and listeners, we need a deeper understanding of the factors that affect their perception and production of spoken language. Thus, the goal of this study was to examine to what extent two AI tools, Amazon Alexa and Polly, are impacted by factors that are known to modulate speech perception and production in humans. In particular, we examined the role of lexical (word frequency, phonological neighborhood density) and stylistic (speaking rate) factors. In the domain of perception, high-frequency words and slow speaking rate significantly improved Alexa's recognition of words produced in real time by native speakers of American English (

Indexed as

adaptationartificial intelligenceneighborhood densityspeaking ratespeech recognitionword frequency

Identifiers

PMID40181888
PMCPMC11965910

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.