First off, what is voice recognition technology? Voice recognition is a computer application that lets people control a computer by speaking to it. In other words, rather than using a keyboard to communicate with the computer, the user speaks commands into a microphone (usually on a headset) that is connected to a computer. By speaking into the microphone, users can do two things. First, they can tell their computers to execute commands such as open a document, save changes, delete a paragraph, even move the cursor--all without touching a key. Second, users can write using voice recognition in conjunction with a standard word processing program. When users speak into the microphone their words can appear on a computer screen in a word processing format, ready for revision and editing. Voice recognition has gained tremendous popularity over the past few years. It has gone from imagination, to rumor, to reality and this trend is not going to stop. It this will be better explained by Jeffrey C. Scott from Computer Shopper in the paragraphs below. “The ability to interact with computers by talking to them may help bridge the gap between human beings and machines. Once deemed a fantastical glimpse into a science-fiction-like future, voice-recognition technology has undergone several significant developments recently, and it now seems destined to move us toward a humanized computer interface. But that's for the future. At present, voice-recognition technology at its best lets us focus on our daily tasks and needs rather than on the computer's commands and syntax. Imagine inputting all your requests, numerous e-mail messages, routine correspondence and numerical data simply by telling them to the computer. Executives with limited typing skills, individuals who are physically challenged, and users who suffer from pain associated with the repetitive motion of typing can all benefit from voice-recognition applications. In fact, almost anyone can profit from this technology, though it may take some adjustment and a little patience to scale the learning curve. Today's voice-recognition products are notably easier to use than those of the past. In addition, veterans of voice recognition should find that the new and improved dictation systems require substantially less training and customization.” “The Virtues of Training :Training a voice-recognition system consists of a defined dictation session where you are prompted to say words, phrases, and sentences. This exercise, which can take anywhere from 20 minutes to an hour and a half, allows the computer to become accustomed to your pronunciation.
During the cold war, the United States engaged in many aggressive policies both at home and abroad, in which to fight communism and the spread of communist ideas. Faced with a new challenge and new global responsibilities the U.S. needed to retain what it had fought so strongly for in World War II. It needed to contain the communist ideas pouring from the Soviet Union while preventing communist influence at home, without triggering World War III. With the policies of containment, McCarthyism, and brinkmanship, the United States hoped to effectively stop the spread of communism and their newest threat, the Soviet Union.
There are many everyday devises that we hearing people take for granted, among these are telephones, smoke alarms, doorbells, and alarm clocks. When we look at how members of the deaf community use these everyday items we must consider that members within the community have very different communication needs, abilities, and preferences. Hard-of-hearing people for example can use a standard telephone with the addition of a headset or amplifier, while some hard-of-hearing people may prefer a TTY deaf persons rely on it, or a relay service to communicate as we (hearing people) would on a telephone.
In February 1946, George F. Kennan, an American diplomat in Moscow, proposed a policy of containment. Containment is the blocking of another nation’s attempts to spread its influence. During the late 1940s and early 1950s the United States used this policy against the Soviets. The United States wanted to take measures to prevent any extension of communist rule to other countries. The conflicting U.S. and Soviet aims in Eastern Europe led to the Cold War. The Berlin airlift, formation of NATO, and the Truman Doctrine all relate to this policy of containment.
Furthermore, this documentary changed several ideas in my mind about these people who cannot communicate and speak. Before I see this video, I did not think that they can communicate as normal people. I thought that they can only speak and answer easy questions. However, this documentary showed me that these individuals with AAC devices can live, work, and communicate normally. They have the chance to achieve many goals in their lives better than normal individuals. The AAC systems do not just allow them to speak and meet their basic needs. However, these AAC systems affect their educations, financial, and professions. I also realized that they have an important role in their societies as normal people. Furthermore, I believe that the professionals such as Bruce Baker, Katya Hill and Barry Romich who contributed in making the AAC systems are genius. They created something for individuals who have communication disabilities to allow them to function as normal people. They gave them the way to communicate and live the normal
The two videos’ main topic is Keynote Ginni Rometty’s speech about IBM Watson and the impact of cognitive computing. The video role is Keynote Ginni Rometty who is IBM company CEO. Summarize her speech; I can understand three impacts about Watson, which are the AI for business, Watson cognitive computing change enterprise and Watson transforming industries.
The Cold War is the closest the world has ever come to complete destruction. In this period of time, two world super powers were in a stalemate economically and militarily and were constantly competing to be the superior. The Cold War started as result of World War II, the United States and the Soviet Union had some differences on their perspectives of the world. United States being the richest country in the world promoted democracy and capitalism in the world. The newly formed Soviet Union thought that communism was a better political system because it transformed their economy and status in the world from nothing but a declining empire to a super power once again. The Cold War was a long series of events in which the communist tried to spread their ideas of government and socialist economy, known as expansionism, and the United States and some of the other Western powers such as Great Britain tried to contain it. Containment, a term introduced by George F. Kennan, was the foreign policy the United States practiced from 1946 to 1991 when the Soviet Union collapsed. The United States saw the Soviet Union to be a direct threat to the free world. During president Truman and Eisenhower’s administration the policy of containment evolved so drastically that American presidents would put anything on the line, including world peace.
Delgado, R & Kobayashi, T 2011. Proceedings of the Paralinguistic Information and its Integration in Spoken Dialogue Systems Workshop. 1st ed. Springer.
In addition to its lack of cognitive ability, a computer can not form expectations based upon a situation. A political speech can be very serious, but when seen on Saturday Night Live, it will be interpreted as funny. A similar problem is the extra meaning conveyed by the tone of voice or body language. We could always program an exhaustive data bank with all the different possibilities of input, but the system as we know it could not search all of these within a reasonable period of time, nor could it adapt to future changes. One of the problems with natural language processing systems is that humans themselves are often not very good natural language generators or processors. We often apply our own bias and expectations to what we hear. Two people can make eye contact and set up a whole series of background such that they now what each other are talking about. That very fact may be a bonus for computer natural language processing because we can predict with certainty how the system will interpret the information and therefore have greater clarity than people.
Imagine asking your computer to do something in the same way you would ask a friend to do it. Without having to memorize special commands that only it could understand. For computer scientists this has been an ambitious goal; that can further simplify computers. Artificial Intelligence, a system that can mimic human intelligence by performing task that usually only a human can do, usually has to use a form of natural language processing. Natural language processing, a sub-field of computer science and artificial intelligence, concerns the successfully interaction between a computer and a human. Currently one of the best examples of A.I.(Artificial Intelligence) is IBM 's Watson. A machine that gained popularity after appearing on the show
Most of the day the human mind is taking in information, analyzing it, storing it accordingly, and recalling past knowledge to solve problems logically. This is similar to the life of any computer. Humans gain information through the senses. Computers gain similar information through a video camera, a microphone, a touch pad or screen, and it is even possible for computers to analyze scent and chemicals. Humans also gain information through books, other people, and even computers, all of which computers can access through software, interfacing, and modems. For the past year speech recognition software products have become mainstream(Lyons,176). All of the ways that humans gain information are mimicked by computers. Humans then proceed to analyze and store the information accordingly. This is a computer's main function in today's society. Humans then take all of this information and solve problems logically. This is where things get complex. There are expert systems that can solve complex problems that humans train their whole lives for. In 1997, IBM's Deep Blue defeated the world champion in a game of chess(Karlgaard, p43). Expert systems design buildings, configure airplanes, and diagnose breathing problems. NASA's Deep Space One probe left with software that lets the probe diagnose problems and fix itself(Lyons).
The mouse motion can be slowed down for better control. The toolbar can be created to suit the children's needs. However if this is not suitable there are many peripherals and devices, which can support children with SEN, but not all are appropriate for everyone. For those children with a physical disability a variety of switches, optical pointers, voice controlled devices and word prediction software has been designed to overcome the problems these children have using traditional input devices such as the mouse and keyboard.
For example, the self-driving car fleet from Uber is already under active development and testing in Pittsburg. Competitiveness with Google Translate and Apple Siri show promise with language learning. With improvements in computer vision and legged locomotion, robots for unstructured environments become practical; these might include agricultural and service settings and helping humans (especially the elderly and infirm) with domestic chores. Finally, as machines improve their grasp of language, search engines and "personal assistants" on mobile phones will change from indexing web pages to understanding web pages, leading to qualitative improvements in their ability to answer questions, synthesize new information, offer advice, and connect the dots. AI may also have a substantial impact on areas of science, such as systems biology, where the complexity and volume of information challenges human abilities. (Russell,
one could choose to talk to a “robot”. For example, with AOL Instant Messenger or AIM, the
While taking a typing course in high school, the hardest part was remembering where each key was. I could never figure out why the typewriter keys were set up in the order they were, but once I learned the various keystrokes, it became second nature to type. Although, I still have trouble with some of the keys on the top row, such as numbers and symbols. This is probably because they aren't used as much as the others. Another difficult part was remembering to hit the return key when I wanted to go to the next line. Setting the tabs and margins properly could also be quite trying. Never in my wildest imagination could I have envisioned a typewriter that could wrap-around to the next line, automatically set margins, and even tell you when words are misspelled or used improperly. Now I know that there is no limit to what computers will be able to accomplish in the future. It will only take imagination and determination to make them do whatever we want them to do.
One of the many issues that have arisen with these smart phones is the function that allows the device to automatically correct spelling or in some cases automatically complete the sentences typed on them. This function is highly convenient and efficient for almost every user. However the problem lies in the youthful user.