Author

Lucas H. Ueda

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Preprint Sep 2026

Automated Assessment of L2 Speech Rhythm Using Low-Frequency Amplitude Modulations

This work proposes an acoustics-based assessment approach that employs a convolutional neural network to extract rhythm features directly from the speech amplitude envelope, motivated by evidence linking low-frequency modulations to rhythm perception.

João Lima, Lucas H. Ueda, P. Costa · 0 citations