AI SeedTTS
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AI Seed-TTS
advanced Text-to-Speech technology that transforms written text into natural-sounding speech across multiple languages
Text to be synthesized
Generate
Zero-shot In-context Learning
No Data
Speaker Fine-tune
No Data
Emotion Control
No Data
Frequent Asked Questions
What is Seed-TTS and how does it differ from other text-to-speech models?
How does the fine-tuning process improve the performance of Seed-TTS?
Can you explain the non-autoregressive variant of Seed-TTS, Seed-TTSDiT, and its advantages?
What is the role of the speech tokenizer in the Seed-TTS inference pipeline?
How does the autoregressive language model contribute to the Seed-TTS system?
Can you explain the function of the diffusion transformer model in the Seed-TTS inference process?
What is Seed-TTS and what capabilities does it offer?
How does Seed-TTS handle the controllability of speech attributes like emotion and speaker similarity?
How does Seed-TTS address the challenges related to building socially responsible artificial intelligence (AI)?
What is the significance of the non-autoregressive variant of Seed-TTS, Seed-TTSDiT?