HS code-led regulatory frameworks

List of contents of this article:

• 1,HS code-led regulatory frameworksHow to use Audi voice function
• 2, PeopleIntroduction to the computer-computer dialogue system
• 3, NLP human-computer dialogue system application scenario and technology

How to use Audi voice function

1. Wake up through the key, key position On the right side of the multi-function steering wheel of the motor vehicle, there is a side-facing face mark, which can be used when the motor vehicle is energized or started. Press the button directly, and the voice says the function that needs to be controlled. The vehicle central control car computer system will turn on the function.

2. You can turn on and off the command display. Select: Button (as shown below) (menu) set the left control button MMI set up the voice dialogue system. - Voice input help: If you want the system to read the currently available commands, please open the voice dialogue system and say help. Improve the recognition ability of the system. Please pronounce clearly at the normal volume.

3. Premise: The ignition switch and MMI are turned on. A system language supported by the voice dialogue system has been set. The phone is not in the call and the parking assistance system is not enabled. On: Press the button on the multi-function steering wheel briefly. And say the required command after the beep.

4. Voice navigation function: You can directly say the destination for navigation, or you can set the usual place to go as a scene, such as setting the home route.Just give a voice command, and the system will plan the route for you. Relatively speaking, voice navigation is indeed a very good configuration.

Introduction to human-computer dialogue system

1. The main functions of human-computer interaction system are: multi-mode perception function , intelligent agent interaction function, based on knowledgeThe network information interaction and retrieval ability of the dialogue, and has the human-computer interaction technology function of visual display of two-dimensional and three-dimensional virtual interaction environments.

2. According to the number of dialogue rounds, human-computer dialogue can be divided into single-round and multiple rounds; according to the purpose of the dialogue, it can be divided into task-type and chat-type; according to the application scenario, it can be divided into three categories: 1) Single-round question-and-answer system in the form of one question and one-answer, giving accurate answers to the user's questions.

3. The nursing computer examination is also the human-computer dialogue examination for practicing nurses. Examination method and form: The human-computer dialogue system of the nurse qualification examination is developed and used by China Health Talent Network, which is limited to nurse candidates. The question types of the nurse human-computer dialogue test are the same as those of the paper-pend test, which are all objective multiple-choice questions.

4. Human-computer dialogue is a form of testing to implement and manage exams with the help of computer and network technology;According to the needs of the exam design, it can carry out propositions, group papers in a targeted manner, and complete a series of links such as presentation of test questions, acceptance of answers, scoring, data analysis and interpretation of results.

5. In general, the basic characteristics of human-machine can be summarized into two aspects: behavioral characteristics and identity characteristics.

6. The English human-computer dialogue system adopts the human-computer dialogue method. Candidates only need to complete the answers and fully automatic intelligent scoring of listening and oral test questions through computers and headsets.

NLP human-computer dialogue system application scenario and technology

1. In addition, in the field of smart home, voice recognition technology has also been widely used. Smart speakers can control household appliances through voice commands, actually The scene construction of the current smart home.In addition, voice recognition technology can also be used in voice search, telephone customer service and other fields.

2. Machine translation, intelligent human-computer interaction, reading comprehension and machine creation are all application fields of natural language processing technology. Natural Language Processing (NLP) is an important research direction in the field of artificial intelligence, covering multiple application fields.

3. Multilingual and cross-language NLP: NLP technology will not only be limited to specific languages, but also applied in multilingual and cross-language environments. This includes the progress of automatic translation, cross-language information retrieval, multilingual emotional analysis, etc.