TITLE:
Environmental Sound Recognition Using Double-Level Energy Detection
AUTHORS:
Xiaoxia Zhang, Ying Li
KEYWORDS:
Ecological Environmental Sounds; Double-Level Energy Detection; Time-Domain Energy Detection; Frequency-Domain Energy Detection; Mel-Frequency Cepstral Coefficients
JOURNAL NAME:
Journal of Signal and Information Processing,
Vol.4 No.3B,
October
16,
2013
ABSTRACT:
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.