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The Multi-speaker Multi-style Voice Cloning Challenge (M2VoC) aims to providea common sizable dataset as well as a fair testbed for the benchmarking of thepopular voice cloning task. Specifically, we formulate the challenge to adaptan average TTS model to the stylistic target voice with limited data fromtarget speaker, evaluated by speaker identity and style similarity. Thechallenge consists of two tracks, namely few-shot track and one-shot track,where the participants are required to clone multiple target voices with 100and 5 samples respectively. There are also two sub-tracks in each track. Forsub-track a, to fairly compare different strategies, the participants areallowed to use only the training data provided by the organizer strictly. Forsub-track b, the participants are allowed to use any data publicly available.In this paper, we present a detailed explanation on the tasks and data used inthe challenge, followed by a summary of submitted systems and evaluationresults.

The Multi-speaker Multi-style Voice Cloning Challenge 2021