Voice synthesis, also known as text-to-speech (TTS) synthesis, is a process used to generate speech from text-based data. It involves converting text into an acoustic waveform which can be used to produce human-like speech. It is used for a variety of applications, including electronic text-to-speech (eTTS) conversion, telephony applications, and speech synthesis for entertainment purposes.
Voice synthesis technology has improved dramatically in recent years, with the current versions offering natural-sounding speech in various languages. Speech synthesis can be used to create simulated conversations and to process and generate audio input for virtual reality systems. Voice synthesis technology is also being used in a variety of healthcare applications, including virtual avatars to enhance patient education and telemedicine services.
The process of voice synthesis begins with the analysis of text-based data. A text-to-speech (TTS) engine is used to break down the text and create discrete units of sound. These sound units are then combined to form natural-sounding speech. The system is then trained to recognize and process different types of words with various combinations and accents. Synthesized speech can also be produced with a range of emotions, such as joy, sadness and anger.
Voice synthesis has come a long way since the first commercial applications were introduced in the 1980s. Advances in artificial intelligence (AI) have made it possible to generate human-like speech that is difficult to distinguish from natural speech. In the future, voice synthesis technology is likely to become increasingly sophisticated and advanced.