Deep Voice 3 introduces a comprehensive neural network architecture for speech synthesis. It is a fully-convolutional sequence-to-sequence model that converts text to spectrograms or other acoustic parameters to be used with audio waveform synthesis for fully parallel computation and faster training an
using recurrent cells.
It can generate monotonic attention behavior to avoid error modes that affect sequence-to-sequence models. It uses low-dimensional speaker embeddings to model the variability among the thousands of different speakers in the dataset. It can serve up to ten million queries per day on one single-GPU server.
Deep voice 3 the latest artificial speech synthesis system from Baidu Research, released in October 2017. It is based on Deep voice 1 and Deep voice 2.
