ByteDance's subsidiary, Volcano Engine, officially announced the launch of its latest developed conversational AI real-time interaction solution. This solution relies on the powerful Volcano Ark large model service platform, marking another major breakthrough for ByteDance in the field of AI interaction. This innovative solution cleverly integrates Volcano Engine's real-time communication technology (RTC), achieving efficient collection, precise processing, and seamless transmission of voice data. Particularly noteworthy is the deep integration of the Bean series of cutting-edge technologies - Bean Voice Recognition Model and Bean Voice Synthesis Model, greatly simplifying the bidirectional conversion process between speech and text, bringing users an unprecedented intelligent dialogue experience and natural language processing capabilities. This technological leap will strongly promote various applications to achieve real-time voice calls between users and cloud-based large models, opening a new chapter in human-computer interaction. ByteDance emphasizes that this conversational AI real-time interaction solution is known for its "out-of-the-box" convenience. Users only need to call simple OpenAPI interfaces to easily configure various types and parameters, including automatic speech recognition (ASR), large language models (LLM), and text-to-speech synthesis (TTS), greatly reducing technical barriers and accelerating the implementation of AI applications. It is worth mentioning that the Volcano Engine AIGC RTC-Server, as the core component of this solution, is responsible for fast user access, intelligent scheduling of cloud resources, precise conversion and processing of text and speech, as well as efficient data subscription and transmission, ensuring a smooth and stable interaction process. The three major highlights of this technology are particularly eye-catching: 1. Real-time interruption function: Users can interrupt or interject at any time during the conversation, achieving a more natural and smooth interaction experience, completely breaking the limitations of traditional AI dialogue. 2. Ultra-low latency response: Not limited by the deployment area of AI services, the overall response delay is as low as an astonishing 1 second, providing users with almost real-time interaction feedback. 3. Accurate voice activity detection: The client's built-in audio frame-level voice activity detection (VAD) technology can accurately identify speaking and silent periods in audio signals, further improving the accuracy and efficiency of interaction.