| Title |
Smart Solution to manage computer files and compose text documents using Hidden Markov Model's Algorithm and Code Excited Linear Prediction Algorithm for Physically Challenged User |
| ID_Doc |
42879 |
| Authors |
James, V; Venugopal, D |
| Title |
Smart Solution to manage computer files and compose text documents using Hidden Markov Model's Algorithm and Code Excited Linear Prediction Algorithm for Physically Challenged User |
| Year |
2019 |
| Published |
|
| DOI |
|
| Abstract |
The proposed research is to study the relevance on speech recognition and synthesis to solve the challenges faced by physically disabled in the context of digital legacy and to cater to the smart city concept even to the physically challenged. In order to support the research thorough literature on speech recognition and synthesis is conducted and Hidden Markov Model's Algorithm and Code Excited Linear Prediction Algorithm were chosen to be the most effective technique towards finding an amicable solution to the problems faced by the physically challenged in terms of using a desktop and portable devices which uses Microsoft operating systems. The algorithm would be implemented by exploiting the features of C# which enables Windows application for Microsoft Windows platform to be operated on user's speech command. Through developing this application, it would create an affordable interactive system to assist the user in managing many of the Windows operated computer functions through speech recognizing the queries and commands from the user as input and responding back with the appropriate commanded functions as output with apt feedback to the user. The expected stakeholders/users of this application particularly could be any user who faces difficulty in typing causing repetitive strain injury, users with any kind of physical disabilities still could vocally communicate, users facing dyslexia and anyone who is interested to handle desktop hands free. |
| Author Keywords |
Speech Recognition and synthesis; Windows Application; Microsoft Windows platform; Hidden Markov Model's Algorithm; Code Excited Linear Prediction Algorithm; stakeholders/users; C#; Microsoft Windows platform; queries; commands |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000469429600040 |
| WoS Category |
Computer Science, Information Systems |
| Research Area |
Computer Science |
| PDF |
|