ASUS develops smart home robots publicly indicating that Taiwan is China
If you take a sentence from the robot port that you have never heard before, is it a surprise? Isn’t it unexpected? Let’s take a look at the related content with the network communication editor.
Recently, an AI robot in Taiwan, China, blasted Jinkou in the process of answering questions, and said Taiwan Province of China. Is this very patriotic?
Not long ago, the AI ​​robot exhibition was held in Tainan Science Park. The home intelligent robot “Zenbo†developed by ASUS asked “Where is Taiwan here?†“Zenbo†answered “Tainan City, Taiwan Province, China†on the spot. The "independence" base party issued a statement after the party expressed "protest".
It is understood that this robot Zenbo is developed by ASUS and belongs to the home intelligent robot. It has many life applications and intelligent function links, which can be said to tell stories and interact with people intelligently. In November last year, the Chinese name "å°å¸ƒ" was unveiled in the mainland. In the software aspect, Tencent "Cloud Small Micro Platform" was introduced to provide localized services including QQ music, Tencent video, micro-encyclopedia, penguin FM, news, weather, etc. And applications. In addition to the two sides of the strait, the marketing plan of “Little Cloth†will also enter the US and Japanese markets this year.
In fact, it is not surprising that robots say "Taiwan Province of China" on the mainland side, because in the hearts of all Chinese, Taiwan is an inalienable part of China's sacred territory, and it is a matter of course to call it a province. However, for those Taiwan independence elements who are bent on independence, the robots say "Taiwan Province of China" and some can't hold their faces.
Where does the robotic language vocabulary come from?
So why is there such a situation in which robots inadvertently say unexpected words?
This also starts from the robot's speech recognition system. Each robot has a voice library. The words in the voice library will be updated according to the actual application. What is the actual vocabulary when communicating? What is the language? In other words, the current stage of robots is far from reaching the level of self-creation of language, but more like a mirror reflecting human behavior.
It is precisely because in most people's perceptions that Taiwan is an inseparable part of Chinese territory, and even many people regard Taiwan as a province of China. When such language exchange becomes the vast majority, the speech recognition of AI robots will This kind of linguistic phenomenon is a fact. Therefore, it is no longer normal to say it from the mouth of the robot.
From this point of view, the AI ​​robot "Zenbo" is better able to understand the social opinion and public opinion than the Taiwan independence molecule, because it represents the fact that most of the speech recognition database has confirmed that Taiwan is a province of China.
Semantic recognition is the next step for chat bots
If it is Taiwan's AI robot that says "Taiwan Province of China" is a natural choice based on the voice library, it can only prove that it is the basic performance of the chat robot in the stage of speech recognition. So, what are the performances of chat bots that reach semantic recognition?
Behind the chat robot, it is actually a complex system, which mainly includes five functional modules: speech recognition module, natural language understanding module, dialogue management module, natural language generation module, and speech synthesis module.
First, the speech recognition module is responsible for receiving the speech input by the user and converting it into text form.
Then, the natural language understanding module inputs a specific semantic expression into the dialog management module after understanding the semantics of the user input.
Then, the dialog management module is responsible for coordinating the calling of each module and maintaining the current conversation state, selecting a specific reply mode and handing it over to the natural language generation module for processing.
Finally, the natural language generation module generates a reply text input to the speech synthesis module to convert the text into a speech output to the user.
Generally speaking, the natural language understanding functions in the chat robot system include technologies such as user intention recognition, user emotion recognition, referential resolution, omission recovery, reply confirmation, and rejection judgment.
The dialog management function primarily coordinates the various parts of the chat bot and maintains the structure and state of the conversation. The key technologies involved in the dialogue management function are dialogue behavior recognition, dialogue state recognition, dialogue strategy learning and dialogue rewards.
Natural language generation automatically generates user-oriented natural language feedback based on non-verbal information generated by the dialog management section.
At present, humans have just passed the threshold of speech recognition, and even the accuracy of Chinese recognition of companies such as Keda Xunfei has increased to over 97%, but the feedback made by robots is based on the natural connection of speech library, and passive output. The answer that has been formed. At this stage, the chat bot can't get the answer based on the understanding of the chat content. The Sophia robot, which was once famous for its interviews, was later proved to be a liar who can only recite standard answers through background control.
Comments: The chat robot is not mysterious or myth, it is just an application of speech recognition on intelligent robots. At present, speech recognition is still difficult to break through the threshold of semantic understanding. When humans break through the bottleneck of semantic understanding in semantic understanding, so that robots can truly understand human words, the real AI robot era will come.
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