An auditory feature extraction method based on forward-masking and its application in robust speaker identification and speech recognition

1 This work is supported by National Nature Science Funds of China, the project number i Abstract: This article presents a new auditory feature extraction method, which considers the forwardmasking mechanism of auditory nerves and feasible in practice. Two features based on this method are extracted: FMFRC (forward masking firing-rate cepstrum) and FMSRC (forward masking synchronized rate cepstrum). Isolate-word speech recognition and text-dependent speaker identification experiments based on TI46 are conducted. The experiment results show that the new auditory features has comparable performance with MFCC under clean environment but far better noise-resistant property than MFCC in both tasks.