Impaired prosodic processing but not hearing function is associated with reduced recognition of AI speech in older adults DOI Open Access
Björn Herrmann,

M. Eric Cui

Published: May 31, 2024

Voice artificial intelligence (AI) technology becomes increasingly common in everyday life, for example, automated phone services, voice assistive systems (e.g., Siri), and social chat bots. However, most research has focused on how younger adults perceive modern AI speech, leaving the development of this age-uninformed. Recent work indicates that older are less able to identify speech compared adults, but underlying causes unclear. The current study with (N=133; 22-39 years) (N=146; 54-79 investigated potential factors could explain age-related reduction identification. In Experiment 1, we whether high-frequency information – which have access due hearing loss contributes age-group differences, our results showed were both full-bandwidth above 4 kHz was removed. This result makes contribution likely. 2, known ability process prosodic predicts Indeed, greater individuals who also a emotions from information, after accounting function self-rated experience systems. suggest is related accurate processing information.

Language: Английский

Assessing the visual appeal of real/AI-generated food images DOI Creative Commons
Giovanbattista Califano, Charles Spence

Food Quality and Preference, Journal Year: 2024, Volume and Issue: 116, P. 105149 - 105149

Published: Feb. 27, 2024

A study designed to investigate the ability of individuals differentiate between AI-generated and authentic food images, as well impact disclosing this information on consumer perception appeal these images is reported. Two online experiments were conducted with real stretching across unprocessed, processed, ultra-processed continuum. Study 1 was assess accuracy which people could identify while 2 explored how disclosure an image's origin influenced depicted food. The participants in found it very easy recognize particularly case foods. Notably, without disclosure, often preferred. At same time, however, that a image genuine significantly boosted its appeal, whereas revelation had been generated by AI mitigated effect. These insights help understand psychology rapidly-evolving digital marketing landscape, highlighting nuanced effects technological advancements image-generation human perception.

Language: Английский

Citations

10
The effects of speech masking on neural tracking of acoustic and semantic features of natural speech DOI

Sonia Yasmin,

Vanessa C. Irsik,

Ingrid S. Johnsrude

et al.

Neuropsychologia, Journal Year: 2023, Volume and Issue: 186, P. 108584 - 108584

Published: May 9, 2023

Language: Английский

Citations

18
“Artificial Intelligence - Carrying us into the Future”: A Study of Older Adults’ Perceptions of LLM-Based Chatbots DOI Creative Commons

Md Atik Enam,

Chandni Murmu, Emma Dixon

et al.

International Journal of Human-Computer Interaction, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 24

Published: March 24, 2025

Language: Английский

Citations

1
Automatic development of speech-in-noise hearing tests using machine learning DOI Creative Commons

Sigrid Polspoel,

David R. Moore, De Wet Swanepoel

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: April 15, 2025

Language: Английский

Citations

1
Exploring Age Differences in Absorption and Enjoyment during Story Listening DOI Creative Commons
Signe Lund Mathiesen, Stephen C. Van Hedger,

Vanessa C. Irsik

et al.

Deleted Journal, Journal Year: 2024, Volume and Issue: 6(2), P. 667 - 684

Published: June 13, 2024

Using naturalistic spoken narratives to investigate speech processes and comprehension is becoming increasingly popular in experimental hearing research. Yet, little known about how individuals engage with story materials listening experiences change age. We investigated absorption the context of stories, explored predictive factors for engagement, examined utility a scale developed written assess auditory materials. Adults aged 20–78 years (N = 216) participated an online study. Participants listened one ten stories intended be engaging different degrees rated terms enjoyment. ages similarly absorbing enjoyable. Further, higher mood scores predicted enjoyment ratings. Factor analysis showed items approximately grouped according original dimensions, suggesting that may similar although certain discriminated less effectively between more or engaging. The present study provides novel insights into adults supports using stimuli

Language: Английский

Citations

4
Leveraging natural language processing models to automate speech-intelligibility scoring DOI

Björn Herrmann

Speech Language and Hearing, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 18

Published: July 7, 2024

Assessment of speech intelligibility in noise is critical for measuring the impact age-related hearing loss. However, quantifying often requires a human to manually process responses provided by participant or patient obtain speech-intelligibility score – typically proportion correctly heard words. This manual can be time-consuming and thus costly. The current study investigates whether state-of-the-art Natural Language Processing (NLP) models from Google OpenAI could used calculate scores as an alternative scoring. It was specifically tested NLP capture common speech-in-noise perception phenomena younger older adults (N = 144) listening masked modulated unmodulated babble noise. results show that closely matched scorer (r ∼0.95). main difference is, on average, ∼2% underestimation relative moderate high signal-to-noise ratios. participants making minor errors related misspellings, gender, tense, which are sensitive, but scorers correct prior Critically, known reduction benefit masker. OpenAI's ADA2 appears perform best out models, showing no compared suggests modern data.

Language: Английский

Citations

3
The acceptability and validity of AI-generated psycholinguistic stimuli DOI Creative Commons
Alaa Alzahrani

Heliyon, Journal Year: 2025, Volume and Issue: 11(2), P. e42083 - e42083

Published: Jan. 1, 2025

Sentence stimuli pervade psycholinguistics research. Yet, limited attention has been paid to the automatic construction of sentence stimuli. Given their linguistic capabilities, this study investigated efficacy ChatGPT in generating and AI tools producing auditory In three psycholinguistic experiments, examined acceptability validity AI-formulated sentences written one two languages: English Arabic. Experiment 1 3, participants gave AI-generated similar or higher ratings than human-composed 2, Arabic received lower counterparts. The AI-developed relied on design, with only 2 demonstrating target effect. These results highlight promising role as a developer, which could facilitate research increase its diversity. Implications for were discussed.

Language: Английский

Citations

0
Impaired Prosodic Processing but Not Hearing Function Is Associated with an Age-Related Reduction in AI Speech Recognition DOI Creative Commons
Björn Herrmann,

M. Eric Cui

Audiology Research, Journal Year: 2025, Volume and Issue: 15(1), P. 14 - 14

Published: Feb. 8, 2025

Background/Objectives: Voice artificial intelligence (AI) technology is becoming increasingly common. Recent work indicates that middle-aged to older adults are less able identify modern AI speech compared younger adults, but the underlying causes unclear. Methods: The current study with and investigated factors could explain age-related reduction in identification. Experiment 1 whether high-frequency information speech—to which often have access due sensitivity loss at high frequencies—contributes age-group differences. 2 an ability process prosodic predicts Results: Results for show both full-bandwidth above 4 kHz removed, making contribution of hearing unlikely. shows greater individuals who also a emotions from information, after accounting function self-rated experience voice-AI systems. Conclusions: results suggest related accurate processing information.

Language: Английский

Citations

0
Minimal background noise enhances neural speech tracking: Evidence of stochastic resonance DOI Open Access

Björn Herrmann

Published: March 10, 2025

Neural activity in auditory cortex tracks the amplitude-onset envelope of continuous speech, but recent work counter-intuitively suggests that neural tracking increases when speech is masked by background noise, despite reduced intelligibility. Noise-related amplification could indicate stochastic resonance – response facilitation through noise supports tracking, a comprehensive account lacking. In five human electroencephalography (EEG) experiments, current study demonstrates generalized enhancement due to minimal noise. Results show a) enhanced for at very high SNRs (∼30 dB SNR) where highly intelligible; b) this independent attention; c) it generalizes across different stationary maskers, strongest 12-talker babble; and d) present headphone free-field listening, suggesting neural-tracking real-life listening. The paints clear picture enhances representation onset-envelope, contributes tracking. further highlights non-linearities induced make its use as biological marker processing challenging.

Language: Английский

Citations

0
Enhanced neural speech tracking through noise indicates stochastic resonance in humans DOI Creative Commons
Björn Herrmann

eLife, Journal Year: 2025, Volume and Issue: 13

Published: March 18, 2025

Neural activity in auditory cortex tracks the amplitude-onset envelope of continuous speech, but recent work counterintuitively suggests that neural tracking increases when speech is masked by background noise, despite reduced intelligibility. Noise-related amplification could indicate stochastic resonance – response facilitation through noise supports tracking, a comprehensive account lacking. In five human electroencephalography experiments, current study demonstrates generalized enhancement due to minimal noise. Results show (1) enhanced for at very high signal-to-noise ratios (~30 dB SNR) where highly intelligible; (2) this independent attention; (3) it generalizes across different stationary maskers, strongest 12-talker babble; and (4) present headphone free-field listening, suggesting neural-tracking real-life listening. The paints clear picture enhances representation onset-envelope, contributes tracking. further highlights non-linearities induced make its use as biological marker processing challenging.

Language: Английский

Citations

0