Acoustic variability shapes adaptation to single versus multiple sound sources

Many studies have demonstrated superior recognition of words spoken by a single talker compared to multiple talkers. Recently, Shorey et al. (2023 AP&P) reported parallel results when labeling words from talkers and tones from musical instruments. Here, we further examined the effects of stimulus variability in both speech and music perception. Experiment 1 adopted the paradigm of Stilp and Theodore (2020 AP&P) with multiple mixed-talker blocks where voices had Low Variability (similar mean f0s) or High Variability (dissimilar mean f0s); instruments with Low Variability (similar attacks and spectra) or High Variability (dissimilar attacks and spectra) were also presented. Music perception was slower and less accurate at each successive increase in stimulus variability. However, the effects of increased stimulus variability were less pronounced in speech blocks than in music blocks. Experiment 2 used this paradigm to measure vowel identification spoken by multiple talkers with dissimilar mean f0s saying the same two target words (heed and hoed, Low Variability) or eight different target words that all shared the /i/ or /o/ target vowel (High Variability). Speech responses became slower at each successive increase in stimulus variability, paralleling music blocks. Thus, adaptation to sound sources (formerly “talker normalization”) displays domain-general responses to stimulus acoustic variability.

Authors

Institutions

Publication Details

Journal
The Journal of the Acoustical Society of America
Published
2025-04-01
DOI
https://doi.org/10.1121/10.0037791
Primary Topic
Vehicle Noise and Vibration Control
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Acoustic variability shapes adaptation to single versus multiple sound sources

Christian E. Stilp, Anya E. Shorey, Sung-Joo Lim, Kate Criner et al.
The Journal of the Acoustical Society of America
Vehicle Noise and Vibration Control
article

Acoustic variability shapes adaptation to single versus multiple sound sources

Christian E. Stilp, Anya E. Shorey, Sung-Joo Lim, Kate Criner, Julia Dobbs, Kristin Fuerstenberg
article en

Abstract

Many studies have demonstrated superior recognition of words spoken by a single talker compared to multiple talkers. Recently, Shorey et al. (2023 AP&P) reported parallel results when labeling words from talkers and tones from musical instruments. Here, we further examined the effects of stimulus variability in both speech and music perception. Experiment 1 adopted the paradigm of Stilp and Theodore (2020 AP&P) with multiple mixed-talker blocks where voices had Low Variability (similar mean f0s) or High Variability (dissimilar mean f0s); instruments with Low Variability (similar attacks and spectra) or High Variability (dissimilar attacks and spectra) were also presented. Music perception was slower and less accurate at each successive increase in stimulus variability. However, the effects of increased stimulus variability were less pronounced in speech blocks than in music blocks. Experiment 2 used this paradigm to measure vowel identification spoken by multiple talkers with dissimilar mean f0s saying the same two target words (heed and hoed, Low Variability) or eight different target words that all shared the /i/ or /o/ target vowel (High Variability). Speech responses became slower at each successive increase in stimulus variability, paralleling music blocks. Thus, adaptation to sound sources (formerly “talker normalization”) displays domain-general responses to stimulus acoustic variability.

The Journal of the Acoustical Society of AmericaVol. 157(4_Supplement)
Marquette University (US), Binghamton University (US), University of Louisville (US)
Openalex Percentile: Top 80%
Vehicle Noise and Vibration Control
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Acoustic variability shapes adaptation to single versus multiple sound sources — Christian E. Stilp, Anya E. Shorey, et al. · The Journal of the Acoustical Society of America (2025) | TGRS Research Map | TGRS