Temporal modulation spectra and speech rhythms

Throughout my academic carrer, I have been interested in the analysis of speech sounds considered as modulated signals. In order to explore how sound signals change over time, I have developped a Matlab toolbox for the computation of amplitude- and f0-modulation spectra and spectrograms. It offers a powerful set of tools for analyzing temporal modulations in audio signals, providing valuable insights into the dynamics of sound over time. The toolbox has been successfully applied in various research domains. Some of its primary applications include the analysis of speech sounds in different languages (Varnet et al., 2017) and the study of natural soundscapes (Thoret et al., 2020).

Administrative details

Collaborators: Judit Gervain, Chrisitian Lorenzi, Alessandro Tavano, Bing’er Jiang

Fundings:

Agence Nationale de la Recherche, projet Speech Code (2015-2018) ANR-15-CE37-0009

Agence Nationale de la Recherche, projet DRhyaDS (2023-2025) ANR-22-FRAL-0003

Selected publications and presentations:

Temporal structure of speech signals

Other articles using the TMST toolbox