Seed-TTS

Preview：

Introduce：

Seed-TTS is a series of large-scale autoregressive text-to-speech (TTS) models introduced by ByteDance, capable of generating speech indistinguishable from human speech. It excelled in speech context learning, speaker similarity and naturalness, with fine-tuning to further improve subjective ratings. Seed-TTS also provides superior control over speech attributes such as emotion and can generate highly expressive and diverse speech. In addition, a self-distillation method for speech decomposition and a reinforcement learning method to enhance model robustness, speaker similarity and control are proposed. Also demonstrated is a non-autoregressive (NAR) variant of the Seed-TTS model, Seed-TTSDiT, which employs a fully diffusion-based architecture that does not rely on pre-estimated phoneme durations for speech generation through end-to-end processing.

Stakeholders:
Seed-TTS is suitable for businesses and developers who need high-quality speech synthesis, such as intelligent assistants, audiobooks, virtual assistants, voice interaction systems, and more. Its high naturalness and controllability enable it to better meet user needs and enhance user experience when providing voice services.
Usage Scenario Examples:

• The intelligent assistant uses Seed-TTS to generate natural speech to communicate with the user
• Audiobooks use Seed-TTS to provide smooth reading of books
• The virtual assistant provides emotionally rich voice feedback via Seed-TTS

The features of the tool:

• Generate high-quality speech indistinguishable from human speech
• Context learning makes speech generation more natural
• Fine-tuning can further improve subjective ratings
• It has superior control ability for voice attributes such as emotion
• Generate highly expressive and diverse speech
• The self-distillation method is used for speech decomposition
• Reinforcement learning methods enhance model robustness

Steps for Use:

• Step 1: Visit the Seed-TTS product page and learn the basic information
• Step 2: Register an account and obtain API access
• Step 3: Integrate the Seed-TTS model into your application according to the documentation
• Step 4: Upload the text content and call the API to generate the speech
• Step 5: Adjust speech attributes such as speed, pitch, emotion, etc., to meet specific needs
• Step 6: Integrate the generated voice into the product and make it available to the user

Tool’s Tabs: Speech synthesis, text to speech