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Systematic Hearing Performance Evaluation Process for Adolescents with Cochlear Implantation at Early Ages
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Loudness Contour Can Influence Mandarin Tone Recognition: Vocoder Simulation and Cochlear Implants.

Qinglin Meng, Nengheng Zheng, Xia Li

    IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society
    |July 23, 2016
    PubMed
    Summary
    This summary is machine-generated.

    Cochlear implants (CI) users struggle with tone recognition. A new Loudness-Tone (L-Tone) algorithm enhances tone perception by manipulating loudness cues, improving recognition for CI users.

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    Area of Science:

    • Auditory Neuroscience
    • Speech Processing
    • Bioacoustics

    Background:

    • Lexical tone recognition is impaired in cochlear implant (CI) users due to degraded pitch cues.
    • Secondary acoustic cues like amplitude and duration influence tone recognition in normal-hearing (NH) listeners and CI users.

    Purpose of the Study:

    • To investigate the role of loudness contour in Mandarin tone recognition.
    • To evaluate the effectiveness of the Loudness-Tone (L-Tone) algorithm in enhancing tone recognition for CI users.

    Main Methods:

    • Developed the Loudness-Tone (L-Tone) algorithm to manipulate sound intensity based on fundamental frequency (F0) and predefined gain-F0 mapping.
    • Conducted perceptual experiments using a four-channel noise-band vocoder simulation with NH listeners and with CI users.

    Main Results:

    • Loudness contour serves as a valuable secondary cue for Mandarin tone recognition, particularly when pitch information is degraded.
    • The L-Tone algorithm improved Mandarin tone recognition in both simulated and actual CI conditions.
    • L-Tone did not significantly negatively impact vowel and consonant recognition.

    Conclusions:

    • Loudness contour is an effective cue for enhancing lexical tone recognition in CI users.
    • The L-Tone algorithm shows promise for integration into real-time CI processing and rehabilitation software.