Text to speech synthesis

TL;DR

This paper reviews the core technologies, applications, and recent advancements in text-to-speech synthesis, highlighting its role in improving accessibility and naturalness in speech generation.

Contribution

It provides a comprehensive overview of TTS synthesis, discussing technological challenges and recent progress in naturalness, multilingual support, and emotional expression.

Findings

Advancements in neural network-based TTS improve speech naturalness.

Multilingual TTS systems are increasingly effective.

Incorporation of emotional expression enhances user experience.

Abstract

Text-to-speech (TTS) synthesis is a technology that converts written text into spoken words, enabling a natural and accessible means of communication. This abstract explores the key aspects of TTS synthesis, encompassing its underlying technologies, applications, and implications for various sectors. The technology utilizes advanced algorithms and linguistic models to convert textual information into life like speech, allowing for enhanced user experiences in diverse contexts such as accessibility tools, navigation systems, and virtual assistants. The abstract delves into the challenges and advancements in TTS synthesis, including considerations for naturalness, multilingual support, and emotional expression in synthesized speech.