A review of deep learning based speech synthesis

Y Ning, S He, Z Wu, C Xing, LJ Zhang - Applied Sciences, 2019 - mdpi.com
Speech synthesis, also known as text-to-speech (TTS), has attracted increasingly more
attention. Recent advances on speech synthesis are overwhelmingly contributed by deep …

Review of end-to-end speech synthesis technology based on deep learning

Z Mu, X Yang, Y Dong - arXiv preprint arXiv:2104.09995, 2021 - arxiv.org
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 …

A deep learning approaches in text-to-speech system: a systematic review and recent research perspective

Y Kumar, A Koul, C Singh - Multimedia Tools and Applications, 2023 - Springer
Text-to-speech systems (TTS) have come a long way in the last decade and are now a
popular research topic for creating various human-computer interaction systems. Although, a …

Conventional and contemporary approaches used in text to speech synthesis: A review

N Kaur, P Singh - Artificial Intelligence Review, 2023 - Springer
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 …

A survey on neural speech synthesis

X Tan, T Qin, F Soong, TY Liu - arXiv preprint arXiv:2106.15561, 2021 - arxiv.org
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 …

[PDF][PDF] Deep learning based NLP techniques in text to speech synthesis for communication recognition

EEB Adam - Journal of Soft Computing Paradigm (JSCP), 2020 - researchgate.net
The computer system is developing the model for speech synthesis of various aspects for
natural language processing. The speech synthesis explores by articulatory, formant and …

Naturalspeech: End-to-end text-to-speech synthesis with human-level quality

X Tan, J Chen, H Liu, J Cong, C Zhang… - … on Pattern Analysis …, 2024 - ieeexplore.ieee.org
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 …

Neural speech synthesis with transformer network

N Li, S Liu, Y Liu, S Zhao, M Liu - … of the AAAI conference on artificial …, 2019 - ojs.aaai.org
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 …

JSUT and JVS: Free Japanese voice corpora for accelerating speech synthesis research

S Takamichi, R Sonobe, K Mitsui, Y Saito… - Acoustical Science …, 2020 - jstage.jst.go.jp
In this paper, we develop two corpora for speech synthesis research. Thanks to
improvements in machine learning techniques, including deep learning, speech synthesis is …

Tacotron: Towards end-to-end speech synthesis

Y Wang, RJ Skerry-Ryan, D Stanton, Y Wu… - arXiv preprint arXiv …, 2017 - arxiv.org
A text-to-speech synthesis system typically consists of multiple stages, such as a text
analysis frontend, an acoustic model and an audio synthesis module. Building these …