Successful Prediction Analysis
Delivery of Speech
Recognition Software and Hardware
Introduction of Forecast
Speech recognition software was theorized as one of the upcoming revolutionary tools of the future. It was supposed to facilitate and improve our ability to interact with computing devices and improve the lives of specific groups of individuals, i.e.(amputees, environmentally challenged individuals, and the elderly) . It was touted in much the same way that the computer was supposed to eliminate the need for paper backup and eliminate paper all together. Users would be able to control lighting and perform automated functions like ordering products, and query the computer for specific items of interest and make airline reservations.
After thirty years of dedicated research and design computer researchers are now at a point where by their efforts in speech recognition software are fruitful.
B. Issues affecting the implementation of new technology:
The implementation of this product was hampered by the lack of hardware specifically dedicated to the industry in which it was trying to support. The process of development was inefficient and slow. Despite the promise of improved speech-chip technology, the industry faced technical as well as marketplace challenges . One of the major features that had to be overcome was the technology not being accepted by user applications. According to Carl D. Howe, (Blackfriars Communications Consultancy), consumer trust has reached a point whereby the product is accepted and usage fear is minimal. New chip technology using silicon as its primary media allows hardware to handle complex functions quickly and effectively without the excessive consumption of power.
C. Reason for success
The technology has overcome its initial limitations of not having sufficient processing power to support the most basic functions and the dissipation of heat. The resurgent use of this technology has been predicated by the advances in the cellular phone industry as well as such products as the IPad and the ITouch product line. The software industry notes that the usage of speech recognition software has been slow due to the lack of dedication of not only hardware manufacturers but firmware suppliers as well. In part, the advances in technology has allowed this prediction to finally come into global presence in stead of being the ugly stepsister of the mainstream software development side of the house (Todd Mozer, 2008) End users such as the Department of Defense and large order fulfillment houses and mainstream businesses that utilize the adaptive technology can now see the benefits of using such technology. One group that recognizes the benefits is the amputees and people who suffer from extremity mobility issues. Now that their initial concerns of integration and training have been resolved this technology can now be implemented to provide reliable benefits.
The issues of dealing with complex commands across multi media channels using automation controls have evolved over time to produce a stable platform.
D. Analysis and suggested alternate efforts
The implementation of new ideas has consistently been plagued with developmental costs and integration of hardware. Designers have been hampered to bring products to market due to various factors of which some of them are above and beyond their control. Limitations that relate to material performance can only be assessed after failure analysis has been performed. In many cases, the failures can only be addressed once the hardware and software are in the field. In the above referenced case, we have to understand the limitation of hardware (Microphones, Silicone based materials and Gallium Cyanide as a manufacturing media) all act as inhibitors to the incorporation and implementation of new product.
One of the major inhibitors to the development was the lack of training and consumer demand. “The fundamental problem facing speech chips is the lack of large-scale
demand for speech technology in general “ (Howe, 2009) Investigation shows that consumers haven’t expressed much interest in using the technology, even when technology is available, consumers are reticent to use it for fear of failure, i.e. (such as in cars). Consumer need for cutting edge technology has not been developed. Training in some instances requires both computer and human dynamics (Speech Dialects Recognition as well as anomalies concerning variances regarding speech impediments) Additional areas that suggest a faster transition would be the beta testing of new technology prior to publication of a new product. In the world of high finance and the search for R&D dollars, it is understandable that companies overstate their accomplishments in order to attract investor buy in.elopers’
Resources:
http://www.ece.cmu.edu/~rutenbar/pdf/rutenbar-speechcompmag06.pdf
Peller, Shlomo, CEO and founder of Speechchip International
Mozer, Todd, CEO of speech-chip pioneer Sensory Inc.
No comments:
Post a Comment