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We present the Zero Resource Speech Challenge 2019, which proposes to build aspeech synthesizer without any text or phonetic labels: hence, TTS without T(text-to-speech without text). We provide raw audio for a target voice in anunknown language (the Voice dataset), but no alignment, text or labels.Participants must discover subword units in an unsupervised way (using the UnitDiscovery dataset) and align them to the voice recordings in a way that worksbest for the purpose of synthesizing novel utterances from novel speakers,similar to the target speaker's voice. We describe the metrics used forevaluation, a baseline system consisting of unsupervised subword unit discoveryplus a standard TTS system, and a topline TTS using gold phonemetranscriptions. We present an overview of the 19 submitted systems from 10teams and discuss the main results.

The Zero Resource Speech Challenge 2019: TTS without T