Controlling the application via speech processing through mel frequency cepstral coefficient and back propagation neural method

Today, speech recognition is become additional and additional necessary. Varied speech applications area unit offered at intervals the market. Shopper electronic devices will operate through voice. It will use mobile phone as a controller and CELP (code excited linear prediction) parameters that unit area used for speech coding in mobile phones. Mel frequency Cepstral coefficients (MFCC) formula could be a technique that takes voice sample as inputs. When process, it calculates coefficients distinctive to a selected sample. During this project, simulation computer code referred to as MATLAB R2012a is employed to perform MFCC. The simplicity of the procedure for implementation of MFCC makes it most popular technique for voice recognition.