Publish in OALib Journal
APC: Only $99
The performance of classic
Mel-frequency cepstral coefficients (MFCC) is unsatisfactory in noisy
environment with different sound sources from nature. In this paper, a
classification approach of the ecological environmental sounds using the double-level energy detection
(DED) was presented. The DED was used to detect the existence of the sound
signals under noise conditions. In addition, MFCC features from the frames
which were detected the presence of the sound signals by DED were extracted.
Experimental results show that the proposed technology has better noise immunity than classic MFCC, and also
outperforms time-domain energy detection (TED) and frequency-domain energy detection (FED) respectively.