Papers by Tristan Ricoul
DP-Parse: Finding Word Boundaries from Raw Speech with an Instance Lexicon (2022.tacl-1)
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Robin Algayres, Tristan Ricoul, Julien Karadayi, Hugo Laurençon, Salah Zaiem, Abdelrahman Mohamed, Benoît Sagot, Emmanuel Dupoux
| Challenge: | Existing nonparametric models for text segmentation use a Dirichlet process to jointly segment sentences and build a lexicon of word types. |
| Approach: | They propose a Bayesian nonparametric model that uses a Dirichlet process to jointly segment sentences and build a lexicon of word types. |
| Outcome: | The proposed model improves on the Zero Resource Speech Benchmark 2017 and can learn semantic and syntactic representations as assessed by a new spoken word embedding benchmark. |