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Pushing the envelope: Evaluating speech rhythm with different envelope extraction techniques.

Alexis Deighton MacIntyre¹, Ceci Qing Cai¹, Sophie K Scott¹

¹Institute of Cognitive Neuroscience, University College London, London, WC1N 3AZ, United Kingdom.

The Journal of the Acoustical Society of America

|April 2, 2022

Summary

This summary is machine-generated.

This study evaluates speech envelope extraction techniques for accurately capturing speech rhythm. Findings show that a human audition-informed envelope

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Area of Science:

Acoustic Phonetics
Speech Processing
Computational Linguistics

Background:

Speech amplitude variation is characterized by the speech envelope, an acoustic feature.
The empirical link between speech envelope time series and phonetic events like vowels is not well-established.
Understanding this link is crucial for speech rhythm analysis.

Purpose of the Study:

To evaluate various speech envelope extraction techniques.
To compare acoustic landmarks derived from speech envelopes with manual phonetic annotations.
To assess the utility of acoustic landmarks in characterizing speaking styles and speech rhythm.

Main Methods:

Extraction of speech envelopes using techniques like the Hilbert transform.
Comparison of acoustic landmarks (e.g., envelope peaks) with manual phonetic annotations on a diverse dataset.
Introduction of joint speech tasks to analyze voice coordination.
Evaluation of acoustic landmarks as predictors for speaking style classification.

Main Results:

Peaks in the first derivative of a human audition-informed envelope closely matched annotated vowel onsets.
The effectiveness of speech envelope techniques varied with language and speaking style.
Speech envelope extraction method choice significantly impacts the capture of speech rhythm features.

Conclusions:

A human audition-informed speech envelope provides reliable landmarks for vowel timing.
Speech rhythm analysis is sensitive to both the chosen envelope extraction method and the speech data characteristics.
Further research is needed to refine speech envelope features for robust speech rhythm analysis across diverse conditions.