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Volume 2 | Issue 1 | Year 2012 | Article Id. IJPTT-V2I1P407 | DOI : https://doi.org/10.14445/22492615/IJPTT-V2I1P407Speaker Independent Recognition System with Mouse Movements
Dr.R.L.K.Venkateswarlu, Dr. R. Vasantha Kumari, G.Vani JayaSri
Citation :
Dr.R.L.K.Venkateswarlu, Dr. R. Vasantha Kumari, G.Vani JayaSri, "Speaker Independent Recognition System with Mouse Movements," International Journal of P2P Network Trends and Technology (IJPTT), vol. 2, no. 1, pp. 18-24, 2012. Crossref, https://doi.org/10.14445/22492615/ IJPTT-V2I1P407
Abstract
Speech recognition is potentially a multi-billion
dollar industry in the near future. It is a natural alternative interface to
computers for people with limited mobility in their arms and hands, sight,
hearing limitation. For most current voice-mail systems, one has to follow
series of touch-tone button presses to navigate through a hierarchical menu.
Speech Recognition has the potential to cut through the menu hierarchy.
Recently, neural networks have been considered for speech recognition tasks
since in many cases they have shown comparable performance than the traditional
approaches. There are two in-built threads in the recognition system. Thread 1
maintains the details about input acquisition where as thread 2 contains the
classifier and decoder. The classifier used in this research is Radial Basis
Function Neural Networks. The HMM graph is used as a decoder. The objective of
the research is to make sure that the system is free from bugs. 100% accuracy
is achieved by the recognition system.
Keywords
Thread, Recognizer, Hidden Markov Model, Radial Basis Function, Mouse Movements.
References
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