
Drip detection through its acoustic signature with variable background noise
In this paper, the problem of detection of an specific event- a drip-in the domestic acoustic scene is addressed. The detection of noises generated by water can be of great interest in domestic scenes because it can help to prevent domestic floods. In the case of drip sounds, it is
quite di cult to get real sounds covering the di erent sound qualities that di erent drops may have. Their sound depends on many factors as their size, the kind of surface they hit, etc. In order to approach real life as much as possible, a database including real and synthesized sounds have
been created. A training set has been set up using the speed of variation of the MFCC, the kurtosis and the probability density function of the high frequencies as features to train a SVM classifier.
The requested document is freely available to subscribers. Users without a subscription can purchase this article.
- Sign in below if you have already registered for online access
Sign in
Document Type: Research Article
Affiliations: AtlantTTic Research Center fort Telecommunication Technologies. E.E. Telecomunicación, Campus Universitario. Vigo, Spain
Publication date: 30 September 2019
The Noise-Con conference proceedings are sponsored by INCE/USA and the Inter-Noise proceedings by I-INCE. NOVEM (Noise and Vibration Emerging Methods) conference proceedings are included. All NoiseCon Proceedings one year or older are free to download. InterNoise proceedings from outside the USA older than 10 years are free to download. Others are free to INCE/USA members and member societies of I-INCE.
- Membership Information
- INCE Subject Classification
- Ingenta Connect is not responsible for the content or availability of external websites
- Access Key
- Free content
- Partial Free content
- New content
- Open access content
- Partial Open access content
- Subscribed content
- Partial Subscribed content
- Free trial content