Text to speech (TTS) is a technology that allows converting text into speech, that is, turning text into sounds similar to human speech. This is a technology in the field of artificial intelligence, allowing computers to read and speak text in audio form.
TTS can be widely applied in many fields such as talking book reading systems for the blind, automatic answering systems, reading emails and messages, automatic notification systems, robots, and assistive guidance systems. helping customers, foreign language learning tools, entertainment and many other purposes.
TTS technology works on the principle of dividing text into small meaningful units such as words, phrases, sentences and then synthesizing them into complete sentences. Natural language processing and deep learning algorithms will analyze the grammar, semantics, and phonetics of the text, apply pronunciation rules, and finally join the phonemes together to form speech.
To have good quality, TTS technology uses many techniques such as natural language processing, machine learning, neural networks, etc. Finally, by combining many technologies, TTS can create a voice that is close to as standard with natural intonation and emotion as the human voice.
Some advanced technologies and techniques applied in TTS:
Speech synthesis: directly synthesizes speech signals from phonetic components instead of concatenating pre-recorded audio segments.
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Deep neural network: simulates human speech to create more natural speech.
Language model: handles the context and semantics of the input text.
WaveNet: a model that uses a recurrent neural network to synthesize speech.
Deep Voice: model developed by Baidu is based on deep neural networks and can learn new voices.
Thanks to the strong development of technology, the quality of TTS is getting better and better, the voice is more natural and closer to real people. TTS has been widely applied in many fields of technology, bringing convenience to life. The future development direction of this field is to improve the naturalness of the voice, supporting many languages, dialects and human emotional factors.