  In this paper, we propose a novel prosody disentangle method for prosodic
Text-to-Speech (TTS) model, which introduces the vector quantization (VQ)
method to the auxiliary prosody encoder to obtain the decomposed prosody
representations in an unsupervised manner. Rely on its advantages, the speaking
styles, such as pitch, speaking velocity, local pitch variance, etc., are
decomposed automatically into the latent quantize vectors. We also investigate
the internal mechanism of VQ disentangle process by means of a latent variables
counter and find that higher value dimensions usually represent prosody
information. Experiments show that our model can control the speaking styles of
synthesis results by directly manipulating the latent variables. The objective
and subjective evaluations illustrated that our model outperforms the popular
models.
