Self-Supervised Language Learning From Raw Audio: Lessons From the Zero Resource Speech Challenge
Self-Supervised Language Learning From Raw Audio: Lessons From the Zero Resource Speech Challenge
Recent progress in self-supervised or unsupervised machine learning has opened the possibility of building a full speech processing system from raw audio without using any textual representations or expert labels such as phonemes, dictionaries or parse trees. The contribution of the Zero Resource Speech Challenge series since 2015 has been …