Seed-TTS: A speech generation model launched by ByteDance that can generate human-like speech

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

1. Zero-shot contextual learning: Able to generate natural and fluent speech in different contexts.
2. 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.
3. Emotion control: Ability to generate speech with corresponding emotions based on the input emotional text.
4. Voice editing: supports editing of generated voice to meet user personalized needs.
5. 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/