In the past two years, the color TV market has cooled down, while artificial intelligence has emerged as a key focus for public companies aiming to find new growth opportunities. Following Changhong's introduction of the world's first AI TV last year, major TV manufacturers like Haier, Hisense, Skyworth, and TCL, along with internet companies such as Xiaomi, LeTV, and Qihoo 360, have also begun to invest heavily in AI, big data, and cloud computing technologies.
After some initial market cultivation, AI TVs are still in their early stages, with most products offering only basic voice recognition features. Higher-level AI interaction capabilities remain under development by companies. In this context, Changhong recently launched the world’s first voice-activated identification AI TV—the CHiQ TV Q5K—and introduced the first personal smart TV technology system, marking the arrival of the AI TV 3.0 era.
Despite the advancements, current AI TVs still face several challenges. For instance, user experience improvements compared to previous smart TVs are limited. Many voice features lack practicality—often, the main benefit is just voice-based search. Other functions tend to be unnecessary or redundant. Additionally, speech recognition accuracy is affected by external factors like regional accents, background noise, and speaking speed. Semantic understanding remains a challenge, as AI struggles to grasp complex queries about content or events. Finally, full voice control is still not achievable, with many operations still relying on traditional remote controls.
To address these issues, Changhong's Q5K AI TV introduces voiceprint recognition technology. This allows the TV to identify family members accurately, with over 90% success rates in home environments. The system uses I-vector technology to model unique voiceprints and a cloud-based database to store them. This enables personalized experiences tailored to each user.
The development of this feature was not without challenges. Early on, the team faced a shortage of voice data, making it difficult to train and validate models. To overcome this, team members repeatedly recorded their voices, shouting commands at the AI assistant, "Changhong Xiaobai," to collect enough samples. Algorithm design was also tough, as the team had more experience in image recognition than in voice processing. With collaboration through video conferences and months of effort, they successfully developed the algorithm and deployed the system.
AI TVs need continuous learning to evolve. As users interact with the TV over time, the system improves its ability to understand and recommend content. With data accumulation, the voiceprint recognition model updates automatically, leading to higher accuracy and a more personalized experience. By combining voiceprint tech with content retrieval systems, the Q5K can deliver highly tailored video recommendations.
Looking ahead, Changhong has refined and optimized AI TV technology across platforms, algorithms, and protocols, launching the industry's first personal smart TV system. This includes hardware, algorithms, data platforms, and media resources. The CHiQ TV uses an array microphone for far-field voice collection, enabling functions like switching channels, on-demand viewing, and reminders. It also supports fuzzy search and accurate error correction, helping users find content even when they don't remember exact titles or names.
While AI TVs are still evolving, the future of smart TV interaction will go beyond remote controls. Next-generation systems are emerging, and companies must embrace innovation. Experts believe that developing these systems is strategically important for TV manufacturers. Changhong's efforts in AI technology have expanded the possibilities of traditional TVs, redefining their role in the living room and opening up new paths for the global TV industry.
For more information on smart TVs and TV boxes, visit Smart TV/Box Info, a leading platform offering insights, reviews, and updates on smart TV technology and related services.
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