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Updated: May 2, 2026

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Using Eye Movements Recorded in the Visual World Paradigm to Explore the Online Processing of Spoken Language
Published on: October 13, 2018
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Dataset of speech produced with delayed auditory feedback
Matthias Heyne1, Monique C Tardif2,3, Alexander Ocampo2
1Department of Communication Disorders, State University of New York at New Paltz, New Paltz, NY 12561, United States.
Data in Brief
|February 10, 2025
Summary
This study introduces a novel dataset of speech produced with delayed auditory feedback (DAF), offering valuable resources for understanding speech motor control and developing new analysis tools.
Area of Science:
- Speech motor control
- Auditory feedback processing
- Acoustic phonetics
Background:
- Auditory feedback is crucial for speech monitoring.
- Delayed auditory feedback (DAF) disrupts speech, but its mechanisms are poorly understood.
- No public datasets exist for DAF speech research.
Purpose of the Study:
- To introduce a comprehensive dataset of speech produced with DAF.
- To facilitate research in speech motor control and analysis tool development.
- To provide controlled recordings of speech under various DAF conditions.
Main Methods:
- Collected speech recordings from 55 participants under controlled DAF conditions (0-250 ms latency).
- Included simultaneous audio from microphone and headphone channels.
- Utilized varied speaking materials (nonwords, sentences) and collected demographic/acoustic measures.
Main Results:
- A large, systematically controlled dataset of DAF speech is now available.
- The dataset includes simultaneous production and feedback audio recordings.
- Includes data from 55 participants, with some completing a second session.
Conclusions:
- This dataset addresses a critical gap in speech research resources.
- It supports investigations into the theoretical aspects of speech sensory-motor control.
- Enables the development and validation of advanced speech analysis tools.
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