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With the rapid development of artificial intelligence technology, we have entered an amazing era where machines can not only understand human language, but can even imitate human voices. So, how is human voice generated? This article will take you to an in-depth understanding of the mysteries behind AI speech synthesis technology.
Principles of human voice generation
The generation of human voice is essentially to convert text information into audible audio signals. Traditional text-to-speech (TTS) systems usually include the following steps:
The input text is processed by word
Phoneme conversion: Converting words in a text into phonemes, the basic units that make up speech.
Prosody prediction: Predict the prosodic features of speech, such as pitch, duration, and stress, based on the grammatical and semantic information of the text.
Generate corresponding acoustic features
Vocoder: Converts acoustic features into a final audio signal.
How AI can improve human voice generation
Traditional TTS systems have certain limitations in Malaysia whatsapp number terms of naturalness and diversity. The introduction of AI technology, especially the application of deep learning, has greatly improved the quality of human voice generation.
End-to-end model: Traditional
TTS systems usually perform multiple steps such as text analysis and phoneme conversion separately. The end-to-end model unifies the entire process and generates audio directly from text through a Country Wise Email Marketing List Library neural network, making the generated speech more natural and fluent.
The neural vocoder uses a neural network
Which can generate richer and more colorful speech.
Data-driven: The training of AI models requires a large CY Lists amount of data. Through massive voice data, the model can learn more diverse voice styles and expressions.
Application scenarios of human voice generation
Voice assistants: Voice assistants such as Siri and Xiaodu interact with users through natural and smooth voices.
Audiobooks: AI-generated speech can be used to create audiobooks for the visually impaired.
Game dubbing: In the game, AI-generated voices can dub NPC characters to increase the immersion of the game.
Online education: AI-generated speech can be used to dub online courses to improve learning efficiency.
Customer Service Robot: AI customer service robots can communicate with customers through natural human voices and provide more humane services.
The future of voice generation technology
With the continuous development of AI technology, human voice generation technology will also usher in a broader application prospect. In the future, we may see:
