Speech recognition or speech to text
includes capturing and digitizing the sound waves, transformation of basic
linguistic units or phonemes, constructing words from phonemes and contextually
analyzing the words to ensure the correct spelling of words that sounds the
same. Approach: Studying the possibility of designing a software system using
one of the techniques of artificial intelligence applications neuron networks
where this system is able to distinguish the sound signals and neural networks
of irregular users. Fixed weights are trained on those forms first and then the
system gives the output match for each of these formats and high speed. The
proposed neural network study is based on solutions of speech recognition
tasks, detecting signals using angular modulation and detection of modulated
techniques.
References
[1]
Childer, D.G. (2004) The Matlab Speech Processing and Synthesis Toolbox. Photocopy Edition, Tsinghua University Press, Beijing, 45-51.
[2]
Chien, J.T. (2005) Predictive Hidden Markov Model Selection for Speech Recognition. IEEE Transaction on Speech and Audio Processing, 13.
[3]
Luger, G. and Stubblefield, W. (2004) Artificial Intelligence: Structures and Strategies for Complex Problem Solving. 5th Edition, The Benjamin/Cummings Publishing Company, Inc. http://www.cs.unm.edu/~luger/ai-final/tocfull.htm
[4]
Choudhary, A. and Kshirsagar, R. (2012) Process Speech Recognition System Using Artificial Intelligence Technique. International Journal of Soft Computing and Engineering (IJSCE), 2.
[5]
Ovchinnikov, P.E. (2005) Multilayer Perceptron Training without Word Segmentation for Phoneme Recognition. Optical Memory & Neural Networks (Information Optics), 14, 245-248.
[6]
Guo, X.Y., Liang, X. and Li, X. (2007) A Stock Pattern Recognition Algorithm Based on Neural Networks. Third International Conference on Natural Computation, 2.
[7]
Dai, W.J. and Wang, P. (2007) Application of Pattern Recognition and Artificial Neural Network to Load Forecasting in Electric Power System. Third International Conference on Natural Computation, 1.
[8]
Shahrin, A.N., Omar, N., Jumari, K.F. and Khalid, M. (2007) Face Detecting Using Artificial Neural Networks Approach. First Asia International Conference on Modelling & Simulation.
[9]
Lin, H., Hou, W.S., Zhen, X.L. and Peng, C.L. (2006) Recognition of ECG Patterns Using Artificial Neural Network. Sixth International Conference on Intelligent Systems Design and Applications, 2.
[10]
Al Smadi, T.A. (2013) Design and Implementation of Double Base Integer Encoder of Term Metrical to Direct Binary. Journal of Signal and Information Processing, 4, 370.
[11]
Takialddin Al Smadi Int. An Improved Real-Time Speech Signal in Case of Isolated Word Recognition. Journal of Engineering Research and Applications, 3, 1748-1754.
