In our system, we use a combination of delta MFCC and PCEN as features. Delta MFCC involves performing cepstrum analysis on the Mel-spectrogram to derive the Mel-scale Frequency Cepstral Coefficients, which are then mixed with the original MFCC to obtain delta MFCC. On the other hand, PCEN uses FFT or Fbank features to normalize each channel and minimize the impact of input signal amplitude changes on recognition results.

重写段落表达意思不变As described above delta MFCC and PCEN are mixed as feature in our systemDelta MFCC Perform cepstrum analysis taking logarithms and performing DCT transformation on the Mel-spectrogram to ob

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