Anti-noise speech recognition system

The invention belongs to the speech recognition technological field and relates to an anti-noise speech recognition system. The implementation process of the system includes the following steps that:windowing and framing are performed on speech signals, discrete Fourier transformation is performed, the amplitude and phase angle of the speech signals can be obtained; the power spectrum of estimated signals is obtained by means of spectral subtraction operation; the signals are reconstructed through using pre-spectral subtraction phase angle information, so that a post-spectral subtraction speech sequence can be obtained; a non-linear power function is adopted to simulate human ear auditory features on the basis of the new speech sequence so as to extract a cochlear filter cepstral coefficient and the first-order difference deltaCFCC thereof, and feature fusion is carried out through using a dimension screening method; data normalization processing is performed on fused features, so that training set labels and