Chatting robot system based on fuzzy neural network and chatting robot method
What is Al technical title?
Al technical title is built by PatSnap Al team. It summarizes the technical point description of the patent document.
A fuzzy neural network and chat robot technology, applied in the chat robot system and chat field, can solve the problems of ambiguity, lack of chat robot systems and methods, and difficulty in meeting chat needs, so as to achieve a vivid dialogue effect.
Active Publication Date: 2017-11-07
CHINA THREE GORGES UNIV
View PDF5 Cites 24 Cited by
Summary
Abstract
Description
Claims
Application Information
AI Technical Summary
This helps you quickly interpret patents by identifying the three key elements:
Problems solved by technology
Method used
Benefits of technology
Problems solved by technology
In the process of chatting with the user, even if the user has told the wrong answer, the chat robot cannot learn from the error
[0006] 3. Human language is not precise keywords and data, often with ambiguity
However, the current chat machines obviously do not have such characteristics, making it difficult to meet people's cha...
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more
Image
Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
Click on the blue label to locate the original text in one second.
Reading with bidirectional positioning of images and text.
Smart Image
Examples
Experimental program
Comparison scheme
Effect test
Embodiment 1
[0058] Such as figure 1 Shown, a kind of chat robot system based on fuzzy neural network, said system comprises:
[0059] The voice collection terminal 100 is installed on both sides of the chat robot head, and is used to receive dialogue information in the chatting process between the user and the chat robot (picking up the voice information in the chatting process in real time),
[0060] It adopts professional and sensitive symmetrical double pickup, which is composed of microphone, audio amplifier circuit, signal conditioner in sound card, sample holder and analog-to-digital converter. The obtained sound analog information is converted into a digital signal and stored in the disk. The microphone uses an electret condenser microphone, which works by utilizing a polymeric material diaphragm with permanent charge isolation. Using symmetrical double pickups, the position of the microphone determines the range of incoming sound, using acoustic phenomena to determine the positi...
Embodiment 2
[0163] Such as image 3 Shown: a kind of method that adopts above-mentioned chat robot system to carry out chatting, and this method comprises the following steps:
[0164] Step 1: After the robot is started, perform system initialization and self-inspection, and initially prevent the system from malfunctioning during the chat process.
[0165] Step 2: When the user chats with the robot, the initialization of the system collection mode has been completed, and the user's voice information is collected. The collected voice data has two purposes:
[0166] One, it is stored in fuzzy neural network training database 106 as input data in order to form fuzzy neural network learning sample,
[0167] 2. It is provided to the voice preprocessing module 101 for voice data preprocessing such as sampling, noise removal, endpoint detection, pre-emphasis, and windowing and framing.
[0168] Step 3: Extract feature parameters (sound intensity, loudness, pitch, period and pitch frequency) fr...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more
PUM
Login to view more
Abstract
A chatting robot system based on a fuzzy neural network comprises a speech acquisition terminal, a characteristic extracting module, a matching searching module, a fuzzy neural network analysis module, a speech postprocessing module and a speech broadcasting module, wherein the characteristic extracting module is connected with the speech acquisition terminal, the matching searching module is provided with a sound model data base and connected with the characteristic extracting module, the fuzzy neural network analysis module is connected with the matching searching module, the speech broadcasting module is connected with the matching searching module, the speech broadcasting module is connected with the speech postprocessing module, and the fuzzy neural network analysis module is provided with a fuzzy neural network training data base and a knowledge data base. According to the chatting robot system based on the fuzzy neural network and a chatting method, the technologies of fuzzy recognition, pattern matching searching, a artificial neural network and the like are utilized, the fuzzy reasoning process of thinking and speeches of the human brain is simulated, a reply can be made according to contexts and emotion characteristics, and the system has the self-learning ability in different scenarios.
Description
technical field [0001] The invention relates to the field of robot voice chatting, in particular to a fuzzy neural network-based chatting robot system and chatting method. Background technique [0002] Fuzzy neural network has received more and more attention in the computer field. With the development of science and technology and the improvement of living standards, people's demand for intelligent chat robots is gradually increasing, and their service requirements are also getting higher and higher. The chat robot system can be regarded as a combination of the robot industry and "Internet +", which is in line with the country's scientific research and industrialization development direction. [0003] However, the robot chat skills currently on the market still cannot meet the needs of the market, and almost all of them are keyword-based retrieval technologies. This model faces a huge obstacle on the road of machine development—the complexity of language, which is mainly ma...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more
Application Information
Patent Timeline
Application Date:The date an application was filed.
Publication Date:The date a patent or application was officially published.
First Publication Date:The earliest publication date of a patent with the same application number.
Issue Date:Publication date of the patent grant document.
PCT Entry Date:The Entry date of PCT National Phase.
Estimated Expiry Date:The statutory expiry date of a patent right according to the Patent Law, and it is the longest term of protection that the patent right can achieve without the termination of the patent right due to other reasons(Term extension factor has been taken into account ).
Invalid Date:Actual expiry date is based on effective date or publication date of legal transaction data of invalid patent.
Login to view more 
Login to view more