Lingo

On September 5, at the "Creative Boundary and Application Imagination of Big Model" forum of the Bund Conference, Xihu Centron, a big model startup enterprise, formally released and launched the first end-to-end speech big model "Centron Lingo" in China. "Xinchen Lingo" realizes end-to-end speech technology, which directly understands speech, captures the tone, rhythm and emotion when processing conversations, and makes voice replies, which reduces the loss of information processing and makes the "machine" understand people better. As the first end-to-end voice model in China, it creates a new way of human-computer interaction. (CEO of Westlake Centron released the first end-to-end speech grand model in China, Centron L...

Xinchen Lingo is an intelligent voice partner that leads the future. Comparing with GPT-4o, it revolutionizes the human-computer interaction experience with its real-time control, super anthropomorphism, and real-time interruption. It can not only respond quickly to user commands, but also accept user interruptions at any time during the conversation. Whether it is asked to sing, tell stories, or change character settings according to preferences, it can provide real-time control and emotional responses in a super anthropomorphic way. Xinchen Lingo performs well in vertical domain enhancement, and can meet user needs with end-to-end services as any role. In addition, it can also make emotional responses, such as using…

In August this year, Westlake Xinchen, invested by Jinke Tomcat, launched the Lingo voice big model, the first end-to-end voice big model in China. The internal beta reservation has been opened today (August 24). In the announcement released on August 21, the official introduction stated that compared with traditional TTS, the end-to-end voice big model is a more comprehensive technology. It not only can recognize speech, but also integrates natural language processing, intent recognition, dialogue management, and speech synthesis, realizing the complete interactive process from speech input to speech feedback, greatly enriching the depth of human-computer interaction…