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 …

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 …

In this paper, we present a robust and effective speech synthesis system that generates
highly natural speech. The key component of proposed system is Duration Informed …

Neural speech synthesis models have recently demonstrated the ability to synthesize high
quality speech for text-to-speech and compression applications. These new models often …

Recently, neural network based speech synthesis has achieved outstanding results, by
which the synthesized audios are of excellent quality and naturalness. However, current …

Although end-to-end text-to-speech (TTS) models such as Tacotron have shown excellent
results, they typically require a sizable set of high-quality< text, audio> pairs for training …

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 …

Text to speech (TTS), or speech synthesis, which aims to synthesize intelligible and natural
speech given text, is a hot research topic in speech, language, and machine learning …

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

In neural text-to-speech (TTS), two-stage system or a cascade of separately learned models
have shown synthesis quality close to human speech. For example, FastSpeech2 transforms …