{"id":11978,"date":"2024-06-01T10:24:00","date_gmt":"2024-06-01T02:24:00","guid":{"rendered":"https:\/\/www.1ai.net\/?p=11978"},"modified":"2024-06-01T10:24:00","modified_gmt":"2024-06-01T02:24:00","slug":"chattts%ef%bc%9a%e4%b8%80%e6%ac%be%e4%b8%93%e4%b8%ba%e5%af%b9%e8%af%9d%e5%9c%ba%e6%99%af%e8%ae%be%e8%ae%a1%e7%9a%84%e8%af%ad%e9%9f%b3%e7%94%9f%e6%88%90%e6%a8%a1%e5%9e%8b%ef%bc%8c%e5%85%8d%e8%b4%b9","status":"publish","type":"post","link":"https:\/\/www.1ai.net\/en\/11978.html","title":{"rendered":"ChatTTS: A speech generation model designed for conversational scenarios, a free text-to-speech generation tool"},"content":{"rendered":"

\"1717126081491394\"<\/p>\n

ChatTTS<\/a>It is a speech generation model designed for conversational scenarios. It supports Chinese and English. After large-scale data training, it can generate high-quality and natural speech synthesis. This product is designed to support applications such as conversational tasks of large language model assistants, generation of conversational speech, video introductions, and speech synthesis of education and training content.<\/p>\n

ChatTTS Features<\/strong><\/span><\/h2>\n
    \n
  1. Multi-language support: supports Chinese and English, suitable for multi-language environment.<\/li>\n
  2. Large-scale data training: Approximately 100,000 hours of Chinese and English data are used for training to ensure high-quality, natural speech synthesis.<\/li>\n
  3. Conversational task compatibility: It is suitable for handling conversational tasks of large language model assistants, can generate responses for conversations, and provide a more natural and smooth interactive experience when integrated into various applications and services.<\/li>\n
  4. Open source plan: We plan to open source a basic model trained on 40,000 hours of data to promote further research and development by academic research and community developers.<\/li>\n
  5. Control and security: The team works to improve the controllability of the model, add watermarks, and integrate it with large language models to ensure the security and reliability of the model.<\/li>\n
  6. Ease of use: It provides an easy-to-use experience, requiring only text information as input to generate the corresponding voice file.<\/li>\n<\/ol>\n

    Features:<\/strong><\/p>\n

    1. High quality and naturalness: After being trained on large-scale datasets, it can generate high-quality and natural speech synthesis.<\/p>\n

    2. Multi-language support: supports Chinese and English, suitable for multi-language environments and meets the needs of users of different languages.<\/p>\n

    3. Open Source Plan: We plan to open source a basic model trained with 40,000 hours of data to promote further research and development in this field.<\/p>\n

    4. Control and security: The team is committed to improving the controllability of the model, adding watermarks, and integrating it with large language models to ensure the security and reliability of the model.<\/p>\n

    5. Ease of use: It provides an easy-to-use experience, and only requires text information as input to generate the corresponding voice file.<\/p>\n

    Application scenarios:<\/strong><\/p>\n

    1. Dialogue Tasks for Large Language Model Assistants<\/p>\n

    2. Generate conversational speech<\/p>\n

    3. Video Introduction<\/p>\n

    4. Speech synthesis for educational and training content<\/p>\n

    5. Any application or service that requires text-to-speech functionality<\/p>\n

    Official website address:https:\/\/chattts.com\/\u00a0<\/a><\/p>\n

     <\/p>","protected":false},"excerpt":{"rendered":"

    ChatTTS is a speech generation model designed for conversational scenarios, supporting both Chinese and English, trained on large-scale data to generate high-quality, natural speech synthesis. It is designed to support applications such as large-scale language modeling assistants for conversational tasks, generating conversational speech, video presentations, and speech synthesis for educational and training content. ChatTTS Features Multi-language support: Supports Chinese and English for multi-language environments. Large-scale data training: Trained using approximately 100,000 hours of Chinese and English data to ensure high-quality, natural-looking speech synthesis. Conversation task compatibility: Suitable for handling conversation tasks with large-scale language modeling assistants, capable of generating responses for conversations and providing a more natural and smooth interaction experience when integrated into various applications and services. Open Source Calculator<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[138,147],"tags":[2481,172,2876],"collection":[],"class_list":{"0":"post-11978","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"hentry","6":"category-product","7":"category-yinpin","8":"tag-ai","10":"tag-chattts"},"acf":[],"_links":{"self":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/11978","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/comments?post=11978"}],"version-history":[{"count":0,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/11978\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/media?parent=11978"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/categories?post=11978"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/tags?post=11978"},{"taxonomy":"collection","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/collection?post=11978"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}