Improved Speech Recognition Method for Intelligent Robot
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基于语音识别的智能语音助手技术研究与应用
Chapter 1: Introduction 1.1 Background With the rapid development of artificial intelligence (AI) technology, intelligent voice assistants have become increasingly popular. These assistants, such as Siri and Alexa, utilize speech recognition technology to process and understand human speech, enabling users to interact with devices using natural language commands. This technology has found applications in various domains, including home automation, healthcare, customer service, and more.
1.2 Objective The objective of this research is to explore the current state of intelligent voice assistant technology, specifically focusing on speech recognition. Furthermore, we will investigate the applications and potential future developments in this field.
Chapter 2: Speech Recognition Technology 2.1 Overview of Speech Recognition Speech recognition is the technology that allows computers to convert spoken language into written text. It involves complex algorithms and models that analyze the characteristics of speech, such as phonemes, words, and sentence structures, to accurately transcribe spoken words.
智能导盲犬机器人作文儿英文回答:Intelligent guide dog robots are a remarkableinnovation that has greatly improved the lives of visually impaired individuals. These robots are designed to provide assistance and support to blind people, helping them navigate their surroundings with ease and independence.With advanced sensors and artificial intelligence technology, these robots can detect obstacles, avoid collisions, and guide their users through various environments.One of the main advantages of intelligent guide dog robots is their ability to adapt to different situationsand environments. For example, if a blind person is walking on a crowded street, the robot can analyze the surroundings and find the safest path to navigate through the crowd. It can also detect and avoid obstacles such as potholes, curbs, or low-hanging branches. This level of adaptability ensuresthat visually impaired individuals can move around confidently and safely.Moreover, these robots are equipped with voice recognition and natural language processing capabilities, allowing users to communicate with them easily. For instance, a blind person can simply say, "Robot, find the nearest coffee shop," and the robot will use its GPS and mapping system to provide directions. This feature not only enhances convenience but also promotes independence for visually impaired individuals.In addition, intelligent guide dog robots offer a range of other useful features. They can assist with daily tasks such as retrieving objects, opening doors, or even helping with grocery shopping. These robots are also programmed to recognize and respond to emergency situations. For example, if a blind person falls down, the robot can immediately alert nearby individuals or emergency services for assistance.中文回答:智能导盲犬机器人是一项令人瞩目的创新,极大地改善了视力受损人士的生活。
Design of an Introduction Robot for ExhibitionKai Fang(B),Xin Xu,and Guanghui YanSchool of Electrical and Information Engineering,Hubei University of Automotive Technology,Shiyan,Hubei,China*******************Abstract.In order to facilitate the on-site service of large-scale Auto Show,wedesigned an intelligent human-computer interactive exhibition robot.The exhibi-tion introduces robot uses STM32f767IGT and STC11l08XE micro-controllersas controllers,uses infrared proximity sensors to detect exhibitors approachingthe robot,uses speech recognition chip ID3320to recognize the voice contentof exhibitors,and identify the exhibition intention,Use speech synthesis chipXSF5152CE to carry out human-computer interaction and explain the informa-tion of the corresponding booth in the exhibition hall.In addition,uses the infrared5-way tracking sensor module to identify the driving line,and sues the OV5640camera to identify the QR code information of the designated booth and store it inthe SD card,so as to update the on-site layout and booth information of the autoshow.The designed robot can complete the basic task of automobile exhibitionintroduction.Keywords:Automobile exhibition robot·STM32F767IGT·V oice module·SDcard1IntroductionWith the continuous improvement of people’s living standards,various commodity exhi-bitions emerge in endlessly.In order to improve the exhibition effect and adapt to people’s pursuit of product quality,some exhibition service robots come into life.In the exhibi-tion,the service robot can not only replace the manual to tell the corresponding product information of the exhibition and booth,but also more efficiently and accurately meet the purchase needs of exhibitors,and arouse the interest of exhibitors in a new way of guidance,so can better realize the promotion and sales of exhibition exhibits.For the above problems,many scholars have proposed various improvements[1–4]. Luo et al.[5]proposed an development platform and an process of robot motion control system.Xiong et al.[6]designed an interactive service robot for Shanghai World Expo 2010,as an integrated design and techniques of the HAIBAO robot.The purpose of this paper is to design an introduction robot suitable for large automobile exhibition, and realize the basic functions of service robot,such as walking,speech recognition, human-computer interaction and so on.©The Author(s)2023R.Sun and J.Zhang(Eds.):ICAICC2022,ACSR97,pp.73–79,2023.https:///10.2991/978-94-6463-002-2_1074K.Fang et al.The exhibition introduces robot uses the infrared proximity sensor to detect the exhibitors who are close to the robot,give them voice prompts,and then provide the exhibitors with the help they need.We planned the robot tracking path on the ground in advance.The exhibition introduces that the robot uses the infrared5-channel tracking sensor module to realize the tracking function in the above routes.This paper is organized as follows.The overall design tasks of the system is reviewed in Sect.2.The specific and detailed system design is presented in Sect.3,and the conclusions are given in Sect.4.2Design TasksThis paper designs a automobile exhibition robot,which uses the ID3320voice module to realize the recognition of voice content,extracts keywords from them,compares the keyword list,matches the most similar recognition results,then extracts its text content from the response information stored in the SD card,sends it to the voice synthesis module through serial port communication,and then broadcasts through the speaker to realize exhibition guidance and booth information introduction.In addition,the key words of speech recognition can be edited at any time.The speech synthesized by speech can be set with different reading voices,reading speed,pitch,etc.The system structure is shown in Fig.1.It is the overall block diagram design of the robot introduced in the exhibition hall.The robot system introduced in the exhi-bition hall is composed of STM32f767IGT6main controller,infrared tracking sensor, voice recognition module(ID3320,STC11l08xe),camera module,SD card data storage module,voice synthesis module(XFS5152CE),motor drive module(DEV8833)and infrared proximity sensor.The motor drive module drives two DC motors to cooperate with the infrared tracking module to realize the automatic tracking and walking function of the robot.In addition,the camera module recognizes the booth QR code information, which together realize the function of updating the booth information in the exhibition hall.The infrared proximity sensor mainly senses whether the exhibitors are close,and then interacts with them.Fig.1.Overall block diagram of exhibition introduction robotDesign of an Introduction Robot for Exhibition75 3System Design of Sweeping RobotA.Control SystemThe STM32f767IGT6single chip microcomputer is used as the main control single chip microcomputer in the main control circuit to realize the direct control of the camera module,SD card module,infrared proximity sensor module,tracking module and motor drive module,and realize the interface control with the speech synthesis module and speech recognition module through serial port communication.The schematic diagram of the main control circuit is shown in Fig.2.Specifically include:1)Sensor moduleThe sensors in the whole robot system are infrared5-way tracking sensor and infrared proximity sensor.For the robot to update the information of the booth and exhibits through tracking,the normal operation of the infrared tracking sensor is essential.The infrared proximity sensor can be used to identify exhibitors within a certain range.The5-way tracking sensor is composed of5TCRT5000infrared reflection sensor probes.It has high infrared detection identification and strong anti-interference ability against external light.The module itself also integrates the gate circuit74HC14of the 6-way Schmitt trigger inverter to shape the analog signal output from the infrared diode into a digital signal.Fig.2.Circuit diagram of minimum system of single chip microcomputer76K.Fang et al.The camera module is composed of OV5640camera module interface and the DCMI interface provided by STM32F767IGT6single chip microcomputer.It realizes the func-tion of image capture,and then converts the captured pictures into gray-scale images to identify the QR code booth information contained in the images.The robot system needs storage equipment to store and call the text information of the exhibition hall and booth.In the application examples of single chip microcomputer, the most common one is the SD card,which can store a lot of information,and the SD card has a variety of sizes according to its application occasions.In this subject,we use the16GB SD card,which can fully meet the needs of the subject.Its driver uses the SDMMC interface of STM32F767IGT.The speech recognition module used in the subject is YS-LDV7integrated speech recognition module,which is mainly composed of STC11l08XE MCU controller and LD3320speech recognition chip.Its RECOGNIZABLE range is limited.In a single speech information recognition,only50keywords that have been set can be screened.The speech recognition chip LD3320is designed by using the technology of keyword Pinyin list that can be set at any time and the technology of non-designated voice recognition. LD3320chip contains a/d function internally,and no external A/D chip is required. 2)Core control moduleSTM32F103ZET6single chip microcomputer is the core part of the system.It is respon-sible for receiving sensor measurement information,walking control of sweeping robot, garbage cleaning and other actions.3)Drive moduleThe exhibition hall introduces that the robot is driven by a two wheel DC motor.In order to ensure the stability of tracking,a supporting wheel is added,which only follows the rotation without driving.At the same time,the high-performance small volume motor driver chip drv8833is adopted.4)Speech synthesis moduleThe speech synthesis module used in this system is designed by iFLYTEK,which includes XFS5152CE chip,2W speech external horn and power amplifier module. 5)Power moduleThe robot uses an external battery to supply power.The battery is a12V rechargeable lithium battery composed of three18650cells,with a capacity of1500mah and a sustainable current of3A.The battery forms a stable5V voltage through the MP2359 dc/dc step-down converter through the power jack to supply power to the motor drive module,speech recognition module,tracking module and infrared proximity sensor.This 5V voltage forms a3.3V voltage through AMS1117-3.3low voltage drop regulator, which supplies power to the control core of STM32F767IGT6and STC11l08xe,and also supplies power to SD card module,camera module and voice synthesis module.B.Software Design of the SystemThe software design logic of this subject is:after the initialization of single chip micro-computer,start the camera module,voice recognition module,SD card module,infrared proximity sensor module and voice synthesis module.Under the condition that the exhibition hall information does not need to be updated,the infrared proximity sensorDesign of an Introduction Robot for Exhibition77 recognizes whether there are exhibitors within about1m in front of the robot.If so,it broadcasts the relevant information to guide the exhibitors through the speech synthe-sis module,extracts the keywords of the exhibitors’speech content through the speech recognition module,matches the relevant exhibition hall response information stored in the SD card,and broadcasts the response information through the speech synthesis module.After completing a dialogue,re recognize the voice information for subsequent human-computer interaction.1)System Overall OperationThe overall operationflow chart of the system is shown in Fig.3.2)SD Card Module ProgramIt is theflow chart of SD card module in Fig.4.The reading and writing of SD card information are completed by FATFSfile management system.After the system runs,first mount the SD card on the FATFSfile management system,then initialize the SD card,and then use the interface function provided by the FATFS module to write the function interface in the actual application.After that,thefile can be opened,read(or wrote)and closed.C.Physical Debugging of the SystemFirstly,We stick black tape for tracking route planning,and place four booth information QR codes and one tracking start/end QR code at intervals next to the tracking route.After the robot receives the voice command“start exhibition hall information update”,turn on the camera to recognize the QR code,and the robot starts to follow the trail.When the robot recognizes the QR code information,it broadcasts the voice information of “recognition success”.During the identification process,judge whether all QR codesFig.3.The overall operationflow chart78K.Fang et al.Fig.4.Robot walking programflow charthave been identified.If not,continue tracking.After all booth information QR codes have been identified,judge whether the QR codes at the start(or end)of tracking have been identified.After the identification is successful,the tracking ends,and the robot stops at this position to wait for the interaction of exhibitors.When the exhibitors approach the robot,the infrared proximity sensor recognizes the exhibitors,the voice broadcast welcomes the object,and begins to interact with the exhibitors with guiding words.Match and recognize keywords according to the voice information of exhibitors,submit relevant response information by voice,and then make the next communication guidance according to the response information. When the exhibitor leaves the recognition range of the infrared proximity sensor,the voice will send the farewell greeting.4ConclusionIn this topic,we introduces an intelligent human-computer interactive exhibition intro-duction robot applied in the exhibition site of large-scale auto show.The exhibition intro-duction robot uses STM32F767IGTT and STC11l08XE single-chip microcomputer as the controller,uses infrared proximity sensor to detect the exhibitors close to the robot, recognizes the voice content of the exhibitors through the voice recognition chip LD3320, and identifies the exhibition intention,Use XFS5152CE speech synthesis chip to carry out human-computer interaction and explain the information of the corresponding booth in the exhibition hall;In addition,the infrared5-way tracking sensor module is used to identify the driving line,and the OV5640camera is used to identify the QR code infor-mation of the designated booth and store it in the SD card,so as to update the on-site layout and booth information of the auto show,and then complete the construction of the auto show introduction robot.Acknowledgment.This work was supported by Foundation of Collaborative education project of the Ministry of Education from Hubei University of Automotive Technology under GrantDesign of an Introduction Robot for Exhibition79 202002009056,and Key projects of science and technology plan of Hubei Provincial Department of Education under Grant D2*******.References1.Regan,M.J.,Barkunan,S.R.:V oice recognition robot for visually impaired people.Res.Rev.2(1)(2014)2.Budiharto,W.,Suhartono,D.:Intelligent service robot with voice recognition and telepresencecapabilities.In:Sai Intelligent Systems Conference,pp.301–304.IEEE(2015)3.Su,J.,Zhang,L.,Cheng,Y.,et al.:Software and Hardware Design of Track Type V oiceBroadcast Service Robot.Microcontrollers&Embedded Systems(2015)4.Maksymova,S.,Matarneh,R.,Lyashenko,V.V.:Software for voice control robot:example ofimplementation.Open Access Libr.J.4(8),1–12(2017)5.Luo,J.W.,Lin,M.U.,Jin,T.G.:Implementation of intelligent family service robot voice system.put.Appl.(2010)6.Xiong,R.,Du,X.F.,Wang,W.F.,et al.:The integrated design of an interactive service robotfor Shanghai World Expo2010.Adv.Mater.Res.308–310,2084–2094(2011)Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0International License(/licenses/by-nc/4.0/), which permits any noncommercial use,sharing,adaptation,distribution and reproduction in any medium or format,as long as you give appropriate credit to the original author(s)and the source, provide a link to the Creative Commons license and indicate if changes were made.The images or other third party material in this chapter are included in the chapter’s Creative Commons license,unless indicated otherwise in a credit line to the material.If material is not included in the chapter’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use,you will need to obtain permission directly from the copyright holder.。
Artificial Intelligence AI has become a pivotal force in shaping the future of technology and society.In this advanced English composition,we will delve into the multifaceted aspects of AI,exploring its potential,applications,ethical considerations, and the impact on the workforce.Introduction to AI:AI refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions.The development of AI has been a significant milestone in the field of computer science,with its roots tracing back to the mid20th century.The Turing Test,proposed by Alan Turing,was one of the earliest attempts to evaluate a machines ability to exhibit intelligent behavior equivalent to,or indistinguishable from,that of a human.Advancements in AI:Over the years,AI has evolved from rulebased systems to machine learning and deep learning,which involve training algorithms to learn from data.The advent of neural networks has allowed AI to perform complex tasks such as image and speech recognition, natural language processing,and predictive analytics.Applications of AI:AI has permeated various sectors,including healthcare,where it assists in diagnostics and personalized medicine finance,where it aids in fraud detection and algorithmic trading and transportation,with the development of autonomous vehicles.In the realm of education,AIpowered tools can provide personalized learning experiences and assist in administrative tasks.Ethical Considerations:The rise of AI has raised several ethical questions.Issues such as data privacy, algorithmic bias,and the potential for AI to replace human jobs have become central to the discourse surrounding AI.It is crucial to establish ethical guidelines that ensure AI is developed and used responsibly,with a focus on transparency,fairness,and accountability.Impact on the Workforce:AIs influence on the job market is a doubleedged sword.While it can automate repetitive tasks,thereby increasing efficiency,it also poses a risk to jobs that can be automated. This has led to discussions on the need for reskilling and upskilling workers to adapt to an AIdriven economy.The Future of AI:As AI continues to advance,its integration into daily life is expected to become more seamless.The development of general AI,or artificial general intelligence,which possesses the ability to understand,learn,and apply knowledge across a wide range of tasks,is a topic of ongoing research and speculation.Conclusion:AIs potential is vast,and its applications are only limited by our imagination and ethical considerations.As we move forward,it is essential to foster a collaborative approach between technologists,policymakers,and society to harness the benefits of AI while mitigating its risks.Word Bank for Advanced Vocabulary:Algorithmic bias:The tendency of algorithms to produce biased outcomes due to the data they are trained on.Deep learning:A subset of machine learning that uses neural networks with many layers to learn complex patterns in data.General AI:An AI system with the ability to perform any intellectual task that a human being can.Neural networks:A computing system inspired by the human brain that is capable of learning from observational data.Predictive analytics:The use of data,statistical algorithms,and machine learning techniques to identify the likelihood of future outcomes.Reskilling:The process of acquiring new skills and knowledge to adapt to changes in the job market or industry.By incorporating these advanced concepts and vocabulary into your composition,you can craft a sophisticated and insightful piece on the subject of artificial intelligence.。
一种机器人智能语音识别算法研究周璐璐;邓江洪【摘要】针对智能机器人在非特定人语音识别中识别率偏低的问题,提出了一种双门限的端点检测算法,精确地检测出了语音端点,对分形维数和Mel频率倒谱系数(MFCC)进行结合,同时基于隐马尔可夫(HMM)模型,提出了智能机器人命令识别系统;在实验室环境下,利用Cool Edit软件录制了5男5女的语音,采样率为8 kHz,精度为16位,内容为5个命令词,每个词均被采集6次,将每人的前3次发音作为模板语音,后3次发音作为测试语音,实验结果表明,系统识别率可以达到85%以上,MFCC与分形维数混合的语音特征参数的算法提高了系统识别率,优化了系统性能;该方法用于非特定人语音智能识别是可行的、有效的.【期刊名称】《计算机测量与控制》【年(卷),期】2014(022)010【总页数】4页(P3267-3269,3273)【关键词】端点检测;特征提取;HMM算法;语音识别【作者】周璐璐;邓江洪【作者单位】重庆电子工程职业学院计算机学院,重庆401331;黄淮学院动画学院,河南驻马店463000【正文语种】中文【中图分类】TP3910 引言在机器人高速发展的今天,机器人日趋智能化。
未来机器人的发展远景是实现与人的协调,并且机器人本身也具有高度的主动性。
为实现机器人与人进行无缝隙的对话,语音识别技术必将成为实现该目标的一门重要技术[1]。
目前,有关语音识别技术在智能机器人领域方面的研究已成为一大焦点[2]。
为实现机器人与人的语音交互,语音识别技术实现该目的的核心技术[3]。
实现机器人的高度智能化即人们可以通过我们日常交流的语言与机器人进行对话,我们可以通过自己的语言来命令机器人完成我们想要完成的任务[4-5]。
同时,机器人可以与人进行交流,从而实现一种无缝隙的交互。
因此,语音识别技术的发展将决定着机器人的智能程度[6]。
针对语音识别技术,本文对命令词识别系统进行了详细研究。
鉴于语音信号的非线性和不平稳性,因此对其的研究较为困难。
附件四英文文献原文Artificial Intelligence^Artificial intelligence77 is a word was originally Dartmouth in 1956 to put forward. From then on, researchers have developed many theories and principles, the concept of artificial intelligence is also expands. Artificial intelligence is a challenging job of science, the person must know computer knowledge, psychology and philosophy. Artificial intelligence is included a wide range of science, it is composed of different fields, such as machine learning, computer vision, etc, on the whole, the research on artificial intelligence is one of the main goals of the machine can do some usually need to perform complex human intelligence. But in different times and different people in the "complex” understanding is differ ent. Such as heavy science and engineering calculation was supposed to be the brain to undertake, now computer can not only complete this calculation, and faster than the human brain can more accurately, and thus the people no longer put this calculation is regarded as 〃the need to perform complex human intelligence, complex tasks" work is defined as the development of The Times and the progress of technology, artificial intelligence is the science of specific target and nature as The Times change and development. On the one hand it continues to gain newprogress on the one hand, and turning to more meaningful, the more difficult the target. Current can be used to study the main material of artificial intelligence and artificial intelligence technology to realize the machine is a computer, the development history of artificial intelligence is computer science and technology and the development together. Besides the computer science and artificial intelligence also involves information, cybernetics, automation, bionics, biology, psychology, logic, linguistics, medicine and philosophy and multi-discipline. Artificial intelligence research include: knowledge representation, automatic reasoning and search method, machine learning and knowledge acquisition and processing of knowledge system, natural language processing, computer vision, intelligent robot, automatic program design, etc.Practical application of machine vision: fingerprint identification, face recognition, retina identification, iris identification, palm, expert system, intelligent identification, search, theorem proving game, automatic programming, and aerospace applications.Artificial intelligence is a subject categories, belong to the door edge discipline of natural science and social science.Involving scientific philosophy and cognitive science, mathematics, neurophysiological, psychology, computer science, information theory, cybernetics, not qualitative theory, bionics.The research category of natural language processing, knowledgerepresentation, intelligent search, reasoning, planning, machine learning, knowledge acquisition, combined scheduling problem, perception, pattern recognition, logic design program, soft calculation, inaccurate and uncertainty, the management of artificial life, neural network, and complex system, human thinking mode of genetic algorithm.Applications of intelligent control, robotics, language and image understanding, genetic programming robot factory.Safety problemsArtificial intelligence is currently in the study, but some scholars think that letting computers have IQ is very dangerous, it may be against humanity. The hidden danger in many movie happened.The definition of artificial intelligenceDefinition of artificial intelligence can be divided into two parts,n amely "artificial" or "intelligent”. "Artificial" better understanding, also is controversial. Sometimes we will consider what people can make, or people have high degree of intelligence to create artificial intelligence, etc. But generally speaking, ^artificial system^ is usually significance of artificial system.What is the with many problems. This involves other such as consciousness, ego, thinking (including the unconscious thoughts etc. People only know of intelligence is one intelligent, this is the universal view of our own. But we are very limited understanding of theintelligence of the intelligent people constitute elements are necessaryto find, so it is difficult to define what is "artificial" manufacturing "intelligent”. So the artificial intel ligence research often involved in the study of intelligent itself. Other about animal or other artificial intelligence system is widely considered to be related to the study of artificial intelligence.Artificial intelligence is currently in the computer field, the more extensive attention. And in the robot, economic and political decisions, control system, simulation system application. In other areas, it also played an indispensable role.The famous American Stanford university professor nelson artificial intelligence research center of artificial intelligence under such a definition: ^artificial intelligence about the knowledge of the subject is and how to represent knowledge 一一how to gain knowledge and use of scientific knowledge. But another American MIT professor Winston thought: ^artificial intelligence is how to make the computer to do what only can do intelligent work. 〃These comments reflect the artificial intelligence discipline basic ideas and basic content. Namely artificial intelligence is the study of human intelligence activities, has certain law, research of artificial intelligence system, how to make the computer to complete before the intelligence needs to do work, also is to study how the application of computer hardware and software to simulate human someintelligent behavior of the basic theory, methods and techniques.Artificial intelligence is a branch of computer science, since the 1970s, known as one of the three technologies (space technology, energy technology, artificial intelligence). Also considered the 21st century (genetic engineering, nano science, artificial intelligence) is one of the three technologies. It is nearly three years it has been developed rapidly, and in many fields are widely applied, and have made great achievements, artificial intelligence has gradually become an independent branch, both in theory and practice are already becomes a system. Its research results are gradually integrated into people,s lives, and create more happiness for mankind.Artificial intelligence is that the computer simulation research of some thinking process and intelligent behavior (such as study, reasoning, thinking, planning, etc.), including computer to realize intelligent principle, make similar to that of human intelligence, computer can achieve higher level of computer application. Artificial intelligence will involve the computer science, philosophy and linguistics, psychology, etc. That was almost natural science and social science disciplines, the scope of all already far beyond the scope of computer science and artificial intelligence and thinking science is the relationship between theory and practice, artificial intelligence is in the mode of thinking science technology application level, is one of its application. From the view ofthinking, artificial intelligence is not limited to logical thinking, want to consider the thinking in image, the inspiration of thought of artificial intelligence can promote the development of the breakthrough, mathematics are often thought of as a variety of basic science, mathematics and language, thought into fields, artificial intelligence subject also must not use mathematical tool, mathematical logic, the fuzzy mathematics in standard etc, mathematics into the scope of artificial intelligence discipline, they will promote each other and develop faster.A brief history of artificial intelligenceArtificial intelligence can be traced back to ancient Egypt,s legend, but with 1941, since the development of computer technology has finally can create machine intelligence, ^artificial intelligence^ is a word in 1956 was first proposed, Dartmouth learned since then, researchers have developed many theories and principles, the concept of artificial intelligence, it expands and not in the long history of the development of artificial intelligence, the slower than expected, but has been in advance, from 40 years ago, now appears to have many Al programs, and they also affected the development of other technologies. The emergence of Al programs, creating immeasurable wealth for the community, promoting the development of human civilization.The computer era1941 an invention that information storage and handling all aspectsof the revolution happened. This also appeared in the U. S. and Germany,s invention is the first electronic computer. Take a few big pack of air conditioning room, the programmer,s nightmare: just run a program for thousands of lines to set the 1949. After improvement can be stored procedure computer programs that make it easier to input, and the development of the theory of computer science, and ultimately computer ai. This in electronic computer processing methods of data, for the invention of artificial intelligence could provide a kind of media.The beginning of AIAlthough the computer AI provides necessary for technical basis, but until the early 1950s, people noticed between machine and human intelligence. Norbert Wiener is the study of the theory of American feedback. Most familiar feedback control example is the thermostat. It will be collected room temperature and hope, and reaction temperature compared to open or close small heater, thus controlling environmental temperature. The importance of the study lies in the feedback loop Wiener: all theoretically the intelligence activities are a result of feedback mechanism and feedback mechanism is. Can use machine. The findings of the simulation of early development of Al.1955, Simon and end Newell called logical experts" program. This program is considered by many to be the first Al programs. It will each problem is expressed as a tree, then choose the model may be correctconclusion that a problem to solve. 〃logic〃to the public and the Al expert research field effect makes it Al developing an important milestone in 1956, is considered to be the father of artificial intelligence of John McCarthy organized a society, will be a lot of interest machine intelligence experts and scholars together for a month. He asked them to Vermont Dartmouth in ^artificial intelligence research in summer. z,since then, this area was named ^artificial intelligence^ although Dartmouth learn not very successful, but it was the founder of the centralized and Al Al research for later laid a foundation.After the meeting of Dartmouth, Al research started seven years. Although the rapid development of field haven,t define some of the ideas, meeting has been reconsidered and Carnegie Mellon university. And MIT began to build Al research center is confronted with new challenges. Research needs to establish the: more effective to solve the problem of the system, such as 〃logic〃 in reducing search; expert There is the establishment of the system can be self learning.In 1957, 〃a new program general problem-solving machine" first version was tested. This program is by the same logic "experts" group development. The GPS expanded Wiener feedback principle, can solve many common problem. Two years later, IBM has established a grind investigate group Herbert Al. Gelerneter spent three years to make a geometric theorem of solutions of the program. This achievement was asensation.When more and more programs, McCarthy busy emerge in the history of an Al. 1958 McCarthy announced his new fruit: LISP until today still LISP language. In. 〃〃 mean〃 LISP list processing 〃, it quickly adopted for most Al developers.In 1963 MIT from the United States government got a pen is 22millions dollars funding for research funding. The machine auxiliary recognition from the defense advanced research program, have guaranteed in the technological progress on this plan ahead of the Soviet union. Attracted worldwide computer scientists, accelerate the pace of development of Al research.Large programAfter years of program. It appeared a famous called 〃SHRDLU・〃SHRDLU 〃is〃 the tiny part of the world "project, including the world (for example, only limited quantity of geometrical form of research and programming). In the MIT leadership of Minsky Marvin by researchers found, facing the object, the small computer programs can solve the problem space and logic. Other as in the late 1960,s STUDENT”, 〃can solve algebraic problems, " SIR z,can understand the simple English sentence. These procedures for handling the language understanding and logic.In the 1970s another expert system. An expert system is a intelligentcomputer program system, and its internal contains a lot of certain areas of experience and knowledge with expert level, can use the human experts,knowledge and methods to solve the problems to deal with this problem domain. That is, the expert system is a specialized knowledge and experience of the program system. Progress is the expert system could predict under certain conditions, the probability of a solution for the computer already has. Great capacity, expert systems possible from the data of expert system. It is widely used in the market. Ten years, expert system used in stock, advance help doctors diagnose diseases, and determine the position of mineral instructions miners. All of this because of expert system of law and information storage capacity and become possible.In the 1970s, a new method was used for many developing, famous as Al Minsky tectonic theory put forward David Marr. Another new theory of machine vision square, for example, how a pair of image by shadow, shape, color, texture and basic information border. Through the analysis of these images distinguish letter, can infer what might be the image in the same period. PROLOGE result is another language, in 1972. In the 1980s, the more rapid progress during the Al, and more to go into business. 1986, the Al related software and hardware sales $4. 25 billion dollars. Expert system for its utility, especially by demand. Like digital electric company with such company XCON expert system for the VAXmainframe programming. Dupont, general motors and Boeing has lots of dependence of expert system for computer expert. Some production expert system of manufacture software auxiliary, such as Teknowledge and Intellicorp established. In order to find and correct the mistakes, existing expert system and some other experts system was designed, such as teach users learn TVC expert system of the operating system.From the lab to daily lifePeople began to feel the computer technique and artificial intelligence. No influence of computer technology belong to a group of researchers in the lab. Personal computers and computer technology to numerous technical magazine now before a people. Like the United States artificial intelligence association foundation. Because of the need to develop, Al had a private company researchers into the boom. More than 150 a DEC (it employs more than 700 employees engaged in Al research) that have spent 10 billion dollars in internal Al team.Some other Al areas in the 1980s to enter the market. One is the machine vision Marr and achievements of Minsky. Now use the camera and production, quality control computer. Although still very humble, these systems have been able to distinguish the objects and through the different shape. Until 1985 America has more than 100 companies producing machine vision systems, sales were us $8 million.But the 1980s to Al and industrial all is not a good year for years. 1986-87 Al system requirements, the loss of industry nearly five hundred million dollars. Teknowledge like Intellicorp and two loss of more than $6 million, about one-third of the profits of the huge losses forced many research funding cuts the guide led. Another disappointing is the defense advanced research programme support of so-called "intelligent" this project truck purpose is to develop a can finish the task in many battlefield robot. Since the defects and successful hopeless, Pentagon stopped project funding.Despite these setbacks, Al is still in development of new technology slowly. In Japan were developed in the United States, such as the fuzzy logic, it can never determine the conditions of decision making, And neural network, regarded as the possible approaches to realizing artificial intelligence. Anyhow, the eighties was introduced into the market, the Al and shows the practical value. Sure, it will be the key to the 21st century, ^artificial intelligence technology acceptance inspection in desert stornT action of military intelligence test equipment through war. Artificial intelligence technology is used to display the missile system and warning and other advanced weapons. Al technology has also entered family. Intelligent computer increase attracting public interest. The emergence of network game, enriching people,s life. Some of the main Macintosh and IBM for application software such as voice and character recognition has can buy, Using fuzzy logic, Al technology to simplify the camera equipment. The artificial intelligence technology related to promotegreater demand for new progress appear constantly. In a word , Artificial intelligence has and will continue to inevitably changed our life.附件三英文文献译文人工智能“人工智能”一词最初是在1956年Dartmouth在学会上提出来的。
机器人语音识别作文英语标题,The Impact of Speech Recognition Technology on Writing。
Introduction。
In today's digital age, speech recognition technology has revolutionized the way we interact with computers and devices. This advancement has particularly influenced the process of writing, enabling users to dictate their thoughts and ideas rather than typing them out manually. This essay explores the impact of speech recognition technology on writing, discussing its benefits, challenges, and implications for the future.Benefits of Speech Recognition Technology in Writing。
One of the primary benefits of speech recognition technology in writing is its efficiency. By allowing users to speak their thoughts, ideas can be transcribed at a muchfaster pace compared to traditional typing. This is especially advantageous for individuals who may havedifficulty typing quickly or accurately. Additionally, speech recognition technology can improve accessibility for those with physical disabilities, enabling them to express themselves more easily through writing.Furthermore, speech recognition technology can enhance productivity by enabling multitasking. Users can dictate their ideas while performing other tasks, such as drivingor cooking, allowing them to make the most of their time. This seamless integration into daily activities can lead to increased creativity and output in writing.Moreover, speech recognition technology can help overcome writer's block. When faced with a blank page, speaking aloud can stimulate ideas and facilitate thewriting process. The act of verbalizing thoughts can often lead to a flow of ideas that may not have emerged through traditional typing.Challenges of Speech Recognition Technology in Writing。
附录一:英文技术资料翻译 英文原文: Improved Speech Recognition Method for Intelligent Robot
1、Overview of speech recognition Speech recognition has received more and more attention recently due to the important theoretical meaning and practical value. Up to now, most speech recognition is based on conventional linear system theory, such as Hidden Markov Model (HMM) and Dynamic Time Warping (DTW). With the deep study of speech recognition, it is found that speech signal is a complex nonlinear process. If the study of speech recognition wants to break through, nonlinear-system theory method must be introduced to it. Recently, with the development of nonlinear-system theories such as artificial neural networks (ANN), chaos and fractal, it is possible to apply these theories to speech recognition. Therefore, the study of this paper is based on ANN and chaos and fractal theories are introduced to process speech recognition. Speech recognition is divided into two ways that are speaker dependent and speaker independent. Speaker dependent refers to the pronunciation model trained by a single person, the identification rate of the training person’ orders are high, while others’ orders are in low identification rate or can’t be recognized. Speaker independent refers to the pronunciation model trained by persons of different age, sex and region, it can identify a group of persons’ orders. Generally, speaker independent system is more widely used, since the user is not required to conduct the training. So extraction of speaker independent features from the speech signal is the fundamental problem of speaker recognition system. Speech recognition can be viewed as a pattern recognition task, which includes training and recognition. Generally, speech signal can be viewed as a time sequence and characterized by the powerful hidden Markov model (HMM). Through the feature extraction, the speech signal is transferred into feature vectors and act as observations. In the training procedure, these observations will feed to estimate the model parameters of HMM. These parameters include probability density function for the observations and their corresponding states, transition probability between the states, etc. After the parameter estimation, the trained models can be used for recognition task. The input observations will be recognized as the resulted words and the accuracy can be evaluated. The whole process is illustrated in Fig. 1. Fig. 1 Block diagram of speech recognition system 2、Theory and method Extraction of speaker independent features from the speech signal is the fundamental problem of speaker recognition system. The standard methodology for solving this problem uses Linear Predictive Cepstral Coefficients (LPCC) and Mel-Frequency Cepstral Co-efficient (MFCC). Both these methods are linear procedures based on the assumption that speaker features have properties caused by the vocal tract resonances. These features form the basic spectral structure of the speech signal. However, the non-linear information in speech signals is not easily extracted by the present feature extraction methodologies. So we use fractal dimension to measure non2linear speech turbulence. This paper investigates and implements speaker identification system using both traditional LPCC and non-linear multiscaled fractal dimension feature extraction. 2. 1 Linear Predictive Cepstral Coefficients Linear prediction coefficient (LPC) is a parameter set which is obtained when we do linear prediction analysis of speech. It is about some correlation characteristics between adjacent speech samples. Linear prediction analysis is based on the following basic concepts. That is, a speech sample can be estimated approximately by the linear combination of some past speech samples. According to the minimal square sum principle of difference between real speech sample in certain analysis frame short-time and predictive sample, the only group of prediction coefficients can be determined. LPC coefficient can be used to estimate speech signal cepstrum. This is a special processing method in analysis of speech signal short-time cepstrum. System function of channel model is obtained by linear prediction analysis as follow.
Where p represents linear prediction order, ak,(k=1,2,…,p) represent sprediction
coefficient, Impulse response is represented by h(n). Suppose cepstrum of h(n) is
represented by ,then (1) can be expanded as (2).