Environmental Sound Recognition Using Double-Level Energy Detection

• 作者: Xiaoxia Zhang Ying Li
• 来源期刊: 信号与信息处理(英文)
• 学科: 工学
• 关键词: Ecological ENVIRONMENTAL Sounds Double-Level ENERGY DETECTION Time-Domain ENERGY DETECTION FREQUENCY-DOMAIN ENERGY DETECTION Mel-Frequency Cepstral Coefficients
• 年，卷（期）: 2013,（3）
• 页码范围: 19-24
• 页数: 6页
• 分类号: TN91

摘要

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.