Abstract Automatic Speech Recognition (ASR) systems can be trained to achieve
remarkable performance given large amounts of manually transcribed speech, but large …

We present the Zero Resource Speech Challenge 2019, which proposes to build a speech
synthesizer without any text or phonetic labels: hence, TTS without T (text-to-speech without …

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 …

A recent task posed by the Zerospeech challenge is the unsupervised learning of the basic
acoustic units that exist in an unknown language. Previously, we introduced recurrent …

Recognition of sign language is a difficult task which often requires tedious annotations by
sign language experts. End-to-end learning attempts that bypass frame level annotations …

In this paper we describe our submission to the Zerospeech 2020 challenge, where the
participants are required to discover latent representations from unannotated speech, and to …

Speech recognition plays an increasing roll in our daily life. It is present in many items and
applications we frequently use, for example in smartphones, home appliances, cars and …