AI-Driven Text to Speech Synthesis: Vall-E

Vall-E is an advanced AI system designed for text to speech synthesis (TTS), using a unique language modeling approach. Trained on discrete codes derived from a neural audio codec model, Vall-E redefines TTS as a conditional language modeling task as opposed to continuous signal regression. It has been trained with 60K hours of English speech, making it significantly more robust than other existing systems. The AI exhibits in-context learning capabilities and can produce high-quality personalized speech using just a 3-second recording of an unseen speaker. It excels in terms of speech naturalness and speaker similarity, and interestingly, it can also preserve the speaker’s emotion and acoustic environment.