Marvin Lavechin
LIS Marseille
Psycholinguistics, MIT
marvinlavechin@gmail.com
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Marvin Lavechin LIS Marseille Psycholinguistics, MIT marvinlavechin@gmail.com |
Charlot, T., Kunze, T., Poli, M., Cristia, A., Dupoux, E., & Lavechin, M. (2025). BabyHuBERT: Multilingual Self-Supervised Learning for Segmenting Speakers in Child-Centered Long-Form Recordings. arXiv preprint arXiv:2509.15001.
Lavechin, M., Bergelson, E., & Levy, R. (2026). BabAR: from phoneme recognition to developmental measures of young children's speech production. arXiv preprint arXiv:2603.05213.
TinyVox is a corpus of more than half a million phonetically transcribed child vocalizations in English, French, Portuguese, German, and Spanish. These forms are all taken from phonological transcriptions in PhonBank. TinyVox has been used to train BabAR, a cross-linguistic phoneme recognition system for child speech available from https://github.com/MarvinLvn/BabAR .
The project is described in the BabAR and BabyHuBERT papers cited and linked above.
The collection of 561,312 one-item .wav audio files is available in this zip file
the metadata.csv, train.csv, test.csv, and val.csv files are available in this .zip file