Unverified70% confidenceFactTime unknown
Fish 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
1
Sources
70%
Confidence
Long-term
Relevance
6/1/2026
First Seen
Sources
Codex桌面宠物实战：从零打造会说话的AI小精灵
bilibili灵姐说AI
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UnverifiedFish Audio是一款基于深度学习的文本转语音（TTS）服务，支持多种音色克隆和自然语音合成71% similarUnverifiedVITS combines variational inference with adversarial training to achieve end-to-end training from text to waveform, capable of generating highly natural speech within 150ms.70% similarUnverifiedModern neural TTS systems typically employ a two-stage architecture: first converting text into acoustic features (such as mel spectrograms), then converting those into waveform audio via a vocoder.66% similarUnverifiedModern TTS solutions such as VITS and ElevenLabs can generate highly natural synthesized speech.66% similarUnverifiedEarly ChatGPT voice used a cascaded architecture: first converting speech to text, then having the large language model generate a response, and finally converting it to speech for output.66% similar
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