new! Summary presentation from a machine learning perspective: Dupoux. E. (2022). Textless NLP: towards language processing from raw audio. LREC 22 (video lecture, 32min) (PDF).
Summary article from a cognitive science perspective: Dupoux (2018). Cognitive Science in the era of Artificial Intelligence: A roadmap for reverse-engineering the infant language-learner, Cognition. Associated presentation: (PDF)
Somewhat older (video lecture): Dupoux. E. (2009). How Do Infants Bootstrap into Spoken Language?: Models and Challenges. ICML, McGill, June 2009.
Schatz, T., Xuan-Nga, C., Kolesnikova, A., Bergvelt, T., Wright, J., & Dupoux, E. (2015). Articulation Index LSCP LDC2015S12. Web Download. Philadelphia: Linguistic Data Consortium. download:catalog.ldc.upenn.edu/LDC2015S12.
The team organized two workshops on zero ressource speech technologies and computational modeling of early language acquisition.
The first one took place in the Center for Language and Speech Processing at John’s Hopkins University on July 16-27, 2012. See Zero Resource Workshop #1.
The second one took place in Paris at the Ecole Normale Supérieure on July 29-August 2, 2013. See Zero Resource Workshop #2.
The team also organized:
a symposium at the ICIS-2014 conference in Berlin (July 3-5, 2014). See the program in the conference website.
the Zero Resource Speech Challenge series, see www.zerospeech.com.