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Related Experiment Video

Updated: Mar 28, 2026

Examining Online Syntactic Processing of Spoken Complex Sentences in Chinese Using Dual-Modal Interference Tasks
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Unifying Amplitude and Phase Analysis: A Compositional Data Approach to Functional Multivariate Mixed-Effects

P Z Hadjipantelis, J A D Aston, H G Müller

    Journal of the American Statistical Association
    |December 23, 2015
    PubMed
    Summary

    This study presents a joint model for analyzing Mandarin Chinese speech, revealing that both amplitude and phase variations carry phonetic information. The model accounts for individual differences in speech production for more accurate linguistic analysis.

    Keywords:
    Functional data analysisLinguisticsMultivariate linear mixed modelsPhonetic analysisRegistration

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    Area of Science:

    • Linguistics
    • Speech Science
    • Data Analysis

    Background:

    • Mandarin Chinese is a tonal language where pitch (F0) is crucial for meaning.
    • Individual variations in speech amplitude and phase require sophisticated modeling for accurate linguistic analysis.

    Purpose of the Study:

    • To develop a joint model for analyzing amplitude, phase, and duration in Mandarin Chinese speech.
    • To investigate the interplay between different modes of variation and their dependence on covariates.

    Main Methods:

    • Combines functional data analysis, compositional data analysis, and linear mixed effects models.
    • Utilizes functional principal component analysis for function decomposition.
    • Applies a joint multivariate mixed effect model to analyze speech data.

    Main Results:

    • The developed model successfully integrates amplitude, phase, and duration variations.
    • Analysis of the COSPRO-1 dataset reveals that phonetic information is jointly encoded in amplitude and phase variations.
    • The model provides insights into the relationships between different variation modes and covariates.

    Conclusions:

    • A novel joint modeling approach enhances the linguistic description of tonal languages like Mandarin Chinese.
    • Both amplitude and phase variations are essential for carrying phonetic information in Mandarin Chinese.
    • The model offers a robust framework for analyzing complex speech features and their dependencies.