Simple method for predicting the distraction due to speech and babble

• Irrelevant speech is most distracting sound in many work environments. • Objective method to predict the distraction by measuring the sound is lacking. • We developed such method based on psychoacoustic laboratory experiment. • The experiment involved 111 stimuli differing in number of speakers and levels. • Method can be applied to predict subjective distraction of work environments. Task-irrelevant speech is a general problem in various work environments. The speech scenarios vary a lot due to different numbers of simultaneous speakers, overall sound level, and signal-to-noise ratio. There is no objective method to assess the distraction of such sound environments using measurements. Our purpose was to develop a method (a simple equation) to objectively predict the distraction due to sound environments containing speech or babble using variables available in standard sound level meters. We conducted three psychoacoustic experiments. Experiment 1 ( N = 10) was a pilot study. Experiment 2 ( N = 41) was the main study, where the method was developed. Experiment 3 ( N = 43) was conducted to validate the method of Experiment 2. We used stimuli that consisted of both multi-voice speech (0 − 12 simultaneous speakers) and steady-state broadband masking noise. The signal-to-noise ratio of speech was varied (-5 to +25 dB) as well as the overall level of stimuli (40, 50, or 60 dB L Aeq ). Participants were asked to imagine how distracted they would be if they had to do private work. All three experiments provided similar evidence. We developed a method that predicted the subjective distraction, based on measured values of L Aeq and L A5 - L A95 with very high correlation ( r P =0.96). Experiment 3 showed that the method also predicts the distraction of foreign language speech. The method can be applied in the objective assessment of distraction in work environments, since the variables are available in standard sound level meters. Further validation of the method is needed both in laboratory and in workplaces.

Authors

Institutions

Publication Details

Journal
Building and Environment
Published
2025-03-23
DOI
https://doi.org/10.1016/j.buildenv.2025.112915
Citations
2
Primary Topic
Noise Effects and Management
Type
article
Field-Weighted Citation Impact
6.24
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Simple method for predicting the distraction due to speech and babble

Jukka Keränen, Valtteri Hongisto, Reijo Alakoivu, Johann Laukka
2 citations
Building and Environment
Noise Effects and Management
6.24
article

Simple method for predicting the distraction due to speech and babble

Jukka Keränen, Valtteri Hongisto, Reijo Alakoivu, Johann Laukka
article en
2 citations

Abstract

• Irrelevant speech is most distracting sound in many work environments. • Objective method to predict the distraction by measuring the sound is lacking. • We developed such method based on psychoacoustic laboratory experiment. • The experiment involved 111 stimuli differing in number of speakers and levels. • Method can be applied to predict subjective distraction of work environments. Task-irrelevant speech is a general problem in various work environments. The speech scenarios vary a lot due to different numbers of simultaneous speakers, overall sound level, and signal-to-noise ratio. There is no objective method to assess the distraction of such sound environments using measurements. Our purpose was to develop a method (a simple equation) to objectively predict the distraction due to sound environments containing speech or babble using variables available in standard sound level meters. We conducted three psychoacoustic experiments. Experiment 1 ( N = 10) was a pilot study. Experiment 2 ( N = 41) was the main study, where the method was developed. Experiment 3 ( N = 43) was conducted to validate the method of Experiment 2. We used stimuli that consisted of both multi-voice speech (0 − 12 simultaneous speakers) and steady-state broadband masking noise. The signal-to-noise ratio of speech was varied (-5 to +25 dB) as well as the overall level of stimuli (40, 50, or 60 dB L Aeq ). Participants were asked to imagine how distracted they would be if they had to do private work. All three experiments provided similar evidence. We developed a method that predicted the subjective distraction, based on measured values of L Aeq and L A5 - L A95 with very high correlation ( r P =0.96). Experiment 3 showed that the method also predicts the distraction of foreign language speech. The method can be applied in the objective assessment of distraction in work environments, since the variables are available in standard sound level meters. Further validation of the method is needed both in laboratory and in workplaces.

Building and EnvironmentVol. 276
University of Turku (FI), Turku University of Applied Sciences (FI)
Reduced inequalities
Openalex Percentile: Top 5%
Noise Effects and Management
6.24
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.