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Perceptual learning of time-compressed speech across different training tasksa).
Gal Yosef Davda1, Juna Sussan1, Limor Lavie1
1Department of Communication Sciences and Disorders, University of Haifa, Haifa, Israel.
The Journal of the Acoustical Society of America
|August 15, 2025
Summary
Brief training improves understanding of time-compressed speech, regardless of task engagement. This perceptual learning enhances recognition of both trained and novel talkers, highlighting robust speech processing abilities.
Area of Science:
- Auditory Perception
- Speech Processing
- Cognitive Psychology
Background:
- Perceptual learning of degraded speech is possible with brief training.
- The influence of training task engagement on speech perceptual learning is not well understood.
Purpose of the Study:
- To investigate how different training task engagement levels affect time-compressed speech learning.
- To examine the transfer of this learning to novel speech stimuli and talkers.
Main Methods:
- Five groups underwent different training tasks, plus a control group, on time-compressed speech.
- Post-training transcription accuracy was measured for trained talker recognition (learning) and novel talker recognition (cross-talker transfer).
Main Results:
- All training groups showed significant improvements in recognizing time-compressed speech compared to the control group.
- The specific training task did not influence the degree of learning or transfer.
- Baseline recognition of time-compressed speech improved between 2018 and 2023.
Conclusions:
- Learning of time-compressed speech is robust and can be achieved through various training experiences.
- Learning and transfer depend on acoustic features and similarity between training and transfer stimuli.
- Lexical context alone appears sufficient to drive perceptual learning of time-compressed speech.
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