Talker-specificity beyond the lexicon: Recognition memory for spoken sentences.

Area of Science:

• Cognitive Psychology
• Psycholinguistics
• Auditory Neuroscience

Background:

• Established knowledge indicates mental representations of language contain fine-grained acoustic details stored in episodic memory.
• The talker-specificity effect, observed in word recognition, demonstrates superior recall for words spoken by the same versus different talkers.
• Previous research focused exclusively on isolated words, leaving the role of acoustic detail in sentence processing unexamined.

Purpose of the Study:

• To investigate whether fine-grained acoustic detail is encoded and retrieved for spoken sentences.
• To examine the automaticity of fine-grained acoustic encoding by manipulating attention during encoding.
• To extend traditional recognition memory methods to sentence-level stimuli.

Main Methods:

• Utilized spoken sentences as stimuli in recognition memory experiments.
• Manipulated attentional load during encoding by employing Full Attention and Divided Attention conditions.
• Measured accuracy and reaction time to assess memory performance.

Main Results:

• Participants demonstrated higher accuracy for sentences repeated by the same talker compared to different talkers.
• Sentence recognition was faster and more accurate under Full Attention than Divided Attention.
• The talker-specificity effect was more pronounced under Divided Attention, suggesting implicit encoding.

Conclusions:

• Provides evidence for acoustic specificity at the sentence level in memory.
• Highlights the implicit and automatic nature of fine-grained acoustic detail encoding.
• Suggests cognitive resource allocation plays a critical role in memory-based language representations.