Artificial Intelligence (AI) has become a commonly heard term in recent years, and it is often abbreviated as AI. As a subfield of computer science, AI aims to understand the essence of intelligence and develop intelligent machines capable of responding in ways similar to human intelligence. Research areas include robotics, speech recognition, image recognition, natural language processing, and expert systems.
Nowadays, many TV manufacturers are promoting "artificial intelligence TVs." However, from the perspective of current AI TVs on the market, their main functions still focus on smart voice features. These typically involve speech recognition, semantic understanding, and scene coverage.
But is artificial intelligence voice truly intelligent, or is it just "pseudo-smart"? To find out, Wanwei’s home network selected several representative smart TVs from different brands, including Haier, Microwhale, PPTV, Changhong, LeTV, and Thunderbird. They tested these models based on dialect support, accuracy, speed of recognition, recognition methods, and resilience.
The test products included: Haier LQ65AL88M92, Microwhale 49D2U3000, PPTV N55, Changhong 55Q5N, LeTV 4X55M, and Thunderbird I55C-UI.
First, can AI TVs recognize regional dialects? While Mandarin is widely spoken, many people only speak local dialects, which presents a challenge for AI voice recognition. The testers checked whether each TV had dialect support and tested its capabilities.
Results showed that only the Microwhale TV supported dialect recognition, while others like Haier, PPTV, Changhong, LeTV, and Thunderbird could not recognize dialects. This suggests that dialect recognition is still an area needing improvement.
Next, how accurate is the voice recognition of AI TVs? The testers used three levels of difficulty: simple commands like “Hello,†more complex ones like “I want to see Chu Chuo Biography,†and even more specific ones like “I want to hear Lin Junjie's ‘Jiangnan’.†Each command was tested multiple times.
Results varied across brands. Some TVs responded well to simple commands but struggled with more complex ones. For example, Haier and Microwhale had inconsistent responses, while Changhong and Thunderbird performed better. PPTV, however, showed lower accuracy in recognizing certain commands.
Speed of recognition was also tested. Most TVs responded within 1-3 seconds, making them efficient for users. Only Changhong and Thunderbird took longer, at around 4 seconds.
Another aspect tested was the method of voice control. While most TVs required a remote control, some allowed voice commands through a mobile app, offering greater convenience.
Finally, the adaptability of AI voice recognition was evaluated. Different phrasings of the same request were tested, such as “Look for Andy Lau’s films,†“What are Andy Lau’s films?†and “Films Andy shot over the years.†Results showed that most TVs could not fully understand variations in phrasing, indicating limitations in semantic understanding.
In conclusion, AI TVs have made significant progress in voice recognition, supporting basic functions like searching and switching programs. However, challenges remain in dialect recognition, semantic understanding, and adaptability. While they are far from fully intelligent, they offer a convenient alternative to traditional remote controls.
For more information on smart TVs and boxes, visit Smart TV Information Network Sofa Butler (http://), China's leading platform for smart TV and box news, reviews, and software updates. Stay tuned for more detailed evaluations on semantic understanding and scene coverage.
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