Speaker identity is one of the important characteristics of human speech. In voice
conversion, we change the speaker identity from one to another, while kee** the linguistic …

New waves of consumer-centric applications, such as voice search and voice interaction
with mobile devices and home entertainment systems, increasingly require automatic …

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 …

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 …

This paper describes Tacotron 2, a neural network architecture for speech synthesis directly
from text. The system is composed of a recurrent sequence-to-sequence feature prediction …

Generative AI has demonstrated impressive performance in various fields, among which
speech synthesis is an interesting direction. With the diffusion model as the most popular …

The quality of text-to-speech (TTS) voices built from noisy speech is compromised.
Enhancing the speech data before training has been shown to improve quality but voices …

Conventional approaches to statistical parametric speech synthesis typically use decision
tree-clustered context-dependent hidden Markov models (HMMs) to represent probability …

Feed-forward, Deep neural networks (DNN)-based text-tospeech (TTS) systems have been
recently shown to outperform decision-tree clustered context-dependent HMM TTS systems …

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 …