Title :
Speech Recognition Using Neural Networks
Author :
Kumar, T. Lalith ; Kumar, T. Kishore ; Rajan, K. Soundar
Author_Institution :
SVIST, Kadapa, India
Abstract :
Speech processing has been an active area for several decades with a wide variety of applications ranging from communications to automatic reading machines. There are many speech recognition techniques, which are based on statistical techniques as well as neural networks. The present work investigates the feasibility of two approaches for solving the problem using neural networks.
Keywords :
neural nets; speech recognition; statistical analysis; automatic reading machines; neural networks; speech recognition; statistical techniques; Cepstrum; Feature extraction; Iron; Linear predictive coding; Neural networks; Pattern recognition; Recurrent neural networks; Sequences; Signal processing; Speech recognition; Linear Prediction; Multi Layer Perceptron; Neural networks; Recurrent Neural Network; Speech Recognition; Vector Quantization;
Conference_Titel :
2009 International Conference on Signal Processing Systems
Conference_Location :
Singapore
Print_ISBN :
978-0-7695-3654-5
DOI :
10.1109/ICSPS.2009.51
