Unverified60% confidenceFactExact time
VITS combines variational inference with adversarial training to achieve end-to-end training from text to waveform, capable of generating highly natural speech within 150ms.
2
Sources
60%
Confidence
Long-term
Relevance
7/22/2026
First Seen
Sources
Related Claims
UnverifiedVITS已能在150ms以内生成高自然度语音80% similarUnverifiedEnd-to-end deep learning-based models such as WaveNet, VITS, and Voicebox have significantly improved audio quality and support speaking style transfer and zero-shot voice cloning.72% similarVerifiedThe new end-to-end voice model is trained directly at the audio level, without first converting speech to text, and can directly capture acoustic features and emotions.72% similarUnverifiedThe voices provided by Gemini TTS are pre-trained acoustic models dynamically generated by the model at inference time, rather than audio splicing.70% similarUnverifiedFish Speech底层采用了VITS架构的改进版本，将文本编码、韵律预测和声码器整合在一个端到端的框架中70% similar
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