Scenario | Description |
Online education | In the online education scenario, real-time interaction and feedback are key to enhancing learning outcomes. By leveraging conversational AI, a platform can create a virtual teaching assistant that provides intelligent teaching assistance both in and out of class. In class, students can ask questions to the virtual teaching assistant at any time during the teacher’s lecture to get additional explanations and better understand learning points. Out of class, the virtual teaching assistant can provide personalized tutoring advice and learning resources based on different students' progress and needs. It can also provide responsive feedback on students' homework and questions, accompanying students in a more natural and friendly manner. Compared to lengthy textual explanations, conversational explanations can more effectively guide students and facilitate understanding. |
Social entertainment | In the social entertainment scenario, conversational AI combined with real-time interaction capabilities can accurately understand users' intentions and engage in voice interactions with users, providing a more authentic and personalized social entertainment experience. A virtual companion provided by conversational AI can naturally communicate with users via voice, offering richer and more genuine emotional value compared to text. In interactive games such as Online Murder Mystery Party and Werewolf Game, conversational AI can also play the role of a host or non-player character (NPC) that engages in dynamic, real-time conversations with players and advances the storyline, allowing players to enjoy an immersive game experience. |
Call center | In scenarios like online customer service, AI sales consultation, and intelligent outbound calling, conversational AI can provide a richer, real-time customer service experience. This not only effectively reduces operational costs but also significantly enhances service efficiency, offering faster service support to customers around the clock. |
Highly efficient office | Through conversational AI, users can use voice to control applications, reducing manual input and making daily work easier and more efficient. Compared to text-based interactions, conversational interactions can expand the usage scenarios of various office assistants, enabling quick voice communication and task completion without being near terminal devices. |
Medical assistance | By leveraging conversational AI, in scenarios such as remote diagnosis and medical consultation, patients can ask questions via voice and receive real-time personalized advice, bringing them closer to an authentic medical consultation experience. This can alleviate users' mistrust and significantly reduce their anxiety. |
Advantage | Description |
Conversational AI with ultra-low latency | In real-time AI interaction scenarios, it is crucial for LLM to promptly receive and process users' audio and video data. TRTC's ultra-low latency communication ensures that the end-to-end audio and video transmission latency is less than 300 ms globally, while keeping conversation latency below 1,000 ms. This matches human conversation response speed, allowing users to enjoy a smooth and natural interactive experience, thereby enhancing customer satisfaction. |
Easy access, efficient launch | Integration can be completed in as quickly as 1 to 2 days, providing comprehensive SDK and API documentation to simplify the development process. This saves over a month of development work compared to traditional solutions, helping enterprises quickly achieve intelligent product upgrade and seize market opportunities. |
Built-in accurate Automatic Speech Recognition (ASR) | The built-in advanced ASR technology supports multiple languages including English, Spanish, Japanese, Korean, Chinese and its 23 dialects, and 130 international languages. It can provide fuzzy recognition for up to 4 specified languages (excluding dialects), ensuring high accuracy and adaptability, and offering robust multilingual AI conversation support for global business. |
Service model integration flexibility | Seamless integration with various LLM and TTS models is supported. We provide an integration channel that allows users to easily connect third-party LLM and TTS models. Users only need to configure the account credentials for their LLM and TTS services to seamlessly integrate them into our solution. This facilitates personalized and complex AI responses, enhancing the overall conversation experience. |
Cross-platform compatibility | Multiple platforms are supported, including iOS, Android, Windows, macOS, Web, Flutter, Electron, and React Native, compatible with over 20,000 device models. |
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