Change detection is biased to listeners' known languages in complex auditory scenes.

Area of Science:

• Cognitive Psychology
• Auditory Perception
• Linguistic Neuroscience

Background:

• Humans often encounter complex auditory scenes with multiple sound sources.
• A known bias exists for detecting changes in speech over other environmental sounds.
• The influence of language background on this speech bias is not well understood.

Purpose of the Study:

• To investigate whether listeners' language backgrounds affect their ability to detect changes in speech within complex auditory environments.
• To determine if the attentional bias towards speech is universal or language-specific.

Main Methods:

• A change detection task was employed with adult listeners from diverse language backgrounds (English monolingual, English-Mandarin bilingual, English-other language bilingual).
• Participants evaluated auditory scenes containing speech (English and Mandarin), music, environmental, and animal sounds.
• Performance was measured by the accuracy in identifying whether auditory scenes remained the same or changed.

Main Results:

• The study replicated the general attentional bias towards speech.
• English-Mandarin bilinguals demonstrated equal proficiency in detecting changes in both English and Mandarin speech.
• Listeners showed a bias towards speech in their known languages, not just all human speech.

Conclusions:

• Linguistic experience significantly shapes auditory perception and memory for communicative sounds.
• The bias towards speech in complex auditory scenes is influenced by familiarity with the language.
• This research highlights the role of language in encoding and prioritizing auditory information in ecologically relevant settings.