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In this paper, we proposed Adapitch, a multi-speaker TTS method that makesadaptation of the supervised module with untranscribed data. We design two selfsupervised modules to train the text encoder and mel decoder separately withuntranscribed data to enhance the representation of text and mel. To betterhandle the prosody information in a synthesized voice, a supervised TTS moduleis designed conditioned on content disentangling of pitch, text, and speaker.The training phase was separated into two parts, pretrained and fixed the textencoder and mel decoder with unsupervised mode, then the supervised mode on thedisentanglement of TTS. Experiment results show that the Adaptich achieved muchbetter quality than baseline methods.

Adapitch: Adaption Multi-Speaker Text-to-Speech Conditioned on Pitch Disentangling with Untranscribed Data