Seed-TTSIt is a high-quality, versatile speech generation model that can generate speech that is almost indistinguishable from human speech. It has excellent voice control capabilities and can generate emotional and diverse speech for a variety of scenarios.
Seed-TTS Features
- Zero-shot contextual learning: Able to generate natural and fluent speech in different contexts.
- Speaker fine-tuning: Supports fine-tuning of the voice of a specific speaker to make the generated voice closer to the style of the specific speaker.
- Emotion control: Ability to generate speech with corresponding emotions based on the input emotional text.
- Voice editing: supports editing of generated voice to meet user personalized needs.
- Speech generation: Able to generate high-quality speech, suitable for a variety of application scenarios.
Features:
1. High quality: The generated speech is almost indistinguishable from human speech.
2. Speaker Similarity: Achieves performance similar to real speech in both objective and subjective evaluations.
3. Emotion control: Ability to generate speech with corresponding emotions based on the input emotional text.
4. Diversity: Ability to generate rich and diverse speech.
5. Controllability: Supports control of multiple voice attributes to meet users' personalized needs.
Application scenarios:
1. Speech synthesis application: It can be used in speech synthesis systems to generate high-quality speech.
2. Personalized voice assistant: Able to provide high-quality and diverse voice output for personalized voice assistant.
Official website link:https://bytedancespeech.github.io/seedtts_tech_report/
