As an indispensable part of modern human-computer interaction system, speech synthesis
technology helps users get the output of intelligent machine more easily and intuitively, thus …

Speech synthesis, also known as text-to-speech (TTS), has attracted increasingly more
attention. Recent advances on speech synthesis are overwhelmingly contributed by deep …

Text to Speech (TTS) synthesis is a process of translating natural language text into speech.
Pieces of recorded speech generate synthesized speech and a database is maintained for …

Compared to conventional speech synthesis, end-to-end speech synthesis has achieved
much better naturalness with more simplified system building pipeline. End-to-end …

The poor intelligibility and out-of-the-ordinary nature of the traditional concatenation speech
synthesis technologies are two major problems. CNN's context deep learning approaches …

Text-to-speech (TTS) has made rapid progress in both academia and industry in recent
years. Some questions naturally arise that whether a TTS system can achieve human-level …

Abstract Recently, Deep Neural Network (DNN), which is a feed-forward artificial neural
network with many hidden layers, has opened a new research direction for Speech …

Thanks to improvements in machine learning techniques including deep learning, a free
large-scale speech corpus that can be shared between academic institutions and …

Nowadays speech synthesis or text to speech (TTS), an ability of system to produce human
like natural sounding voice from the written text, is gaining popularity in the field of speech …

Although end-to-end neural text-to-speech (TTS) methods (such as Tacotron2) are proposed
and achieve state-of-theart performance, they still suffer from two problems: 1) low efficiency …