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Speech Recognition Technology
According to Moore an early pioneer in silicone technology, the capacity for engineering technology innovation is clearly rapid, as he famously set a benchmark for silicone technology that it would double the number of transistors on a chip, which determines the capacity for memory every 24 months. This law served as a standard for Intel and other chip manufacture companies, creating a demonstrative goal that was followed almost to the letter from its inception to now (Intel, 2011). This rapid advancement of technology has made many functions and aspects of technology capabilities possible. Human interface technology has always been an aspect of the capacity of memory that has demonstrated steady growth, from the keyboard to the mouse/keyboard combination, individual improvements in both technologies to touch screens, and scanning devices. Even just the innovation of the mouse, technically a pointing device is a revolution taken for granted (Te'eni, Carey, & Zhang, 2006, p. 6)
The ultimate goal of nearly every technology development has been to create a system of fluid interaction, one that was absent devices and reflected the human need to be free of encumbrances when working with technology. The ultimate goal has always been to develop technology so advanced that all it needed to do was listen to the sound of a human voice to be activated. There are several examples of speech recognition technologies that have steadily improved to allow the human voice all its variables to direct the action of a computer, either wirelessly or wired through commands (Microsoft Research, 2011). Te'eni, Carey, & Zhang stress in their chapter overview that voice recognition can function to allow the user to compose, transcribe, transact with a computer...
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In fact to write this paper, I have been exploring the functionality of pre-installed windows voice recognition software on my Vista OS computer. This application is relatively unknown as one of the components that comes with Vista and yet is one of the most accurate voice recognition systems I've ever used. Just five years ago I invested in software that was said to do the same thing but never seemed to meet my expectations. This led me to give up on the technology altogether as I had no real reason other than laziness and was fully capable of using my keyboard and mouse. Yet since beginning the research on voice recognition technology I have learned that the capacity of speech recognition technology has improved beyond my expectations. This having been said my computer is a relative dinosaur at nearly six years old, the voice recognition software coming preinstalled it actually amazes me that it is so accurate. It also makes you wonder how fine-tuned newer technology is.
The goal of a Microsoft research team with members split between Redmond California and Beijing China, is to improve upon current speech recognition technology and other human computer interface applications involving sound to create the possibility that nearly any one can use a computer from nearly anywhere (Microsoft Research, 2011). The capacity to make technology accessible nearly anywhere is definitely a reflection of Moore's law (Intel, 2011). The progress of software and more importantly, hardware, transistor chip technology has expanded so far, or I should say has decreased in size so much that the capacity for memory functions seems almost unlimited. With regard to speech recognition technology, the importance of memory is an issue…
Resources
Intel. (2011). Moore's Law inspires Intel innovation. Retrieved from http://www.intel.com/about/companyinfo/museum/exhibits/moore.htm
Microsoft Research. (2011). Speed Technology (Redmon). Retrieved from http://research.microsoft.com/en-us/groups/srg/
Patel, N., Cirimele, J., Parikh, T., Klemmer, S. (2010). Avaaj Otalo -- a field study of an interactive voice forum for small farmers in rural India. Mobile Computing Research Stanford HCI Group. Retrieved from http://hci.stanford.edu/research/mobile/
Robinson, P. (2006, January 27). Q&A: The future of speech. (2006). Retrieved from http://www.pcmag.com/article2/0,1895,1916107,00.asp
Chapter 3. [PPT file]. John Wiley and Sons, Inc. Retrieved from http://bcs.wiley.com/he-bcs/Books?action=resource&bcsId=3151&itemId=0471677655&resourceId=7885
Then students use AlphaSmart software to paste the picture and explain in a paragraph why, how and where in the plot they feel that picture relates to the story. This tests three things: (a) student concentration; (b) student level of understanding of the general plot; and - student imagination. This is an important implementation because it opens the students' horizons and allows them to see the general links and
Reaction to the source The authors presented a well developed and cohesive approach to analyzing the manner in which young people learn a foreign language. Kartal, G. (2006). Working with an imperfect medium: Speech recognition technology in reading practice. Journal of Educational Multimedia and Hypermedia, 15(3), 303-305. Description of the focus of the source The focus of this study was the read-aloud behaviors of learners who were assigned an experimental computer-based program that used
Pedagogic Model for Teaching of Technology to Special Education Students Almost thirty years ago, the American federal government passed an act mandating the availability of a free and appropriate public education for all handicapped children. In 1990, this act was updated and reformed as the Individuals with Disabilities Education Act, which itself was reformed in 1997. At each step, the goal was to make education more equitable and more accessible to
" May (2003) emphasizes the need exists for greater technological sense and knowledge for all current and future students. Consequently, this need has led to incorporation of technology in classrooms settings, as technologies aim to increase students' intensity of wisdom, cooperation and text assessment. Today, literacy reading skills prove to be vital for both normal and special-needs students, as exposure to literacy encompasses more than books. In fact, the range
Expert Systems and Neural Networks The Development and Limitations of Expert Systems and Neural Networks The human experience demands a constant series of decisions to survive in a hostile environment. The question of "fight or flight" and similar decisions has been translated into computer-based models by using the now-famous "if-then" programming command that has evolved into the promising field of artificial intelligence. In fact, in their groundbreaking work, Newell and Simon (1972)
As Jacko and Sears emphasize, "As the scope and sophistication of digital systems become ubiquitous, the pressure for improved human-computer interaction methodologies will continue to increase" (2003, p. 15). As noted above, the enabling technologies for a ubiquitous computing environment already exist to a large degree, but there are three things still missing from the picture that will provide the level of seamless interaction demanded by such an environment: