Title : 
A Novel Approach to Very Fast and Noise Robust,Isolated Word Speech Recognition
         
        
            Author : 
Halavati, Ramin ; Shouraki, Saeed Bagheri ; Tajik, Hossein ; Cholakian, Arpineh ; Razaghpour, Mina
         
        
            Author_Institution : 
Dept. of Comput. Eng., Sharif Univ. of Technol., Tehran
         
        
        
        
        
        
        
            Abstract : 
A novel very light weight approach to isolated word speech recognition is introduced. The approach uses a new simplistic feature set and a neural network recognition system. The algorithm´s main processing requirements are FFT computation and a simple neural network comparison, making the method a suitable solution for low price embedded devices. The proposed method is tested on single speaker and multiple speaker test sets and the results are compared with a widely used speech recognition approach, presenting very fast recognition and quite good recognition rate
         
        
            Keywords : 
fast Fourier transforms; neural nets; speech recognition; FFT computation; fast Fourier transform; isolated word speech recognition; multiple speaker test; neural network recognition; noise robust speech recognition; simplistic feature set; Embedded computing; Feature extraction; Frequency; Hidden Markov models; Humans; Neural networks; Noise robustness; Spectrogram; Speech recognition; Testing;
         
        
        
        
            Conference_Titel : 
Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
         
        
            Conference_Location : 
Hong Kong
         
        
        
            Print_ISBN : 
0-7695-2521-0
         
        
        
            DOI : 
10.1109/ICPR.2006.133