Author: Zen and the Art of Computer Programming
- [Practical Tips] Master the core technology of artificial intelligence voice conversion and easily implement multi-language voice conversion and speech synthesis
1 Introduction
1.1. Background Introduction With the acceleration of globalization, the demand for cross-cultural communication is growing day by day, and multilingual speech conversion and speech synthesis technologies have emerged. The development of artificial intelligence technology has facilitated speech synthesis and conversion, making it easier for people to communicate across languages.
1.2. Purpose of the article The purpose of this article is to introduce the core technology of artificial intelligence speech conversion, help readers understand the implementation methods and optimization strategies of multi-language speech conversion and speech synthesis, and improve the operating efficiency of practical application scenarios.
1.3. Target audience This article is mainly intended for readers who have a certain technical foundation and a certain understanding of the field of artificial intelligence. Whether you are engaged in software development, architecture design, or developers who want to have an in-depth understanding of multi-language speech conversion technology, you can obtain relevant technical essentials through this article.
2. Technical principles and concepts
2.1. Explanation of basic concepts
Multilingual Speech Conversion and Speech Synthesis are important technologies in the field of artificial intelligence, aiming to solve communication problems between different languages. Multilingual speech conversion refers to converting text in one language into speech in another language, such as converting Chinese text into English speech; speech synthesis refers to converting text in one language into text in another language, such as Convert English text to Chinese voice.
2.2. Introduction to technical principles: algorithm principles, operating steps, mathematical formulas, etc.
The implementation of multilingual speech conversion and speech synthesis mainly relies on Natural Language Processing (Natural Language Processing).