Continuous digit recognition in mobile environment

This paper deals with the recognition of digits uttered in continuous manner in mobile environment (i.e uttering a telephonic data like phone number). In mobile environment, the major issues are background noise, coding and channel impairments. Most of the existing works deal only with the recognition of noisy speech, but in this paper, we have explored about the recognition of speech under noisy coded condition, and it is shown that the performance of recognition is improved by spectral processing techniques. Finally, in this paper, we have shown that speech coding does not significantly affect on the performance of digit recognition. Also, we have compared the results of spectral methods used here for preprocessing, and concluded that Minimum Mean Square Error (MMSE) method produces better result than spectral subtraction method.