Abstract
Environmental audio monitoring is a huge area of interest for biologists all over the world. This is why some audio monitoring system have been proposed in the literature, which can be classified into two different approaches: acquirement and compression of all audio patterns in order to send them as raw data to a main server; or specific recognition systems based on audio patterns. The first approach presents the drawback of a high amount of information to be stored in a main server. Moreover, this information requires a considerable amount of effort to be analyzed. The second approach has the drawback of its lack of scalability when new patterns need to be detected. To overcome these limitations, this paper proposes an environmental Wireless Acoustic Sensor Network architecture focused on use of generic descriptors based on an MPEG-7 standard. These descriptors demonstrate it to be suitable to be used in the recognition of different patterns, allowing a high scalability. The proposed parameters have been tested to recognize different behaviors of two anuran species that live in Spanish natural parks; the Epidalea calamita and the Alytes obstetricans toads, demonstrating to have a high classification performance.
Highlights
Nowadays, there is a growing interest in studying the evolution of certain environmental parameters associated with climate change
Implementation, audio patterns are acquired from the monitoring area by the acoustic sensors and implementation, audio patterns are acquired from the monitoring area by the acoustic sensors and processed locally to obtain primary descriptors in wireless acoustic acoustic nodes
These descriptors receive the name of Low Level Descriptors (LLDs) and they are defined in MPEG-7 specification
Summary
There is a growing interest in studying the evolution of certain environmental parameters associated with climate change. With the purpose of acquiring animal sound patterns, ethologists have traditionally deployed audio recording systems over the natural environment where their research was being developed This procedure requires human presence in the area of interest at certain moments. The base station only requires storing primary and secondary descriptors, saving a high amount of dedicated storage space for long term environmental analysis This is the case of Doñana Natural Park, a park that is internationally well known for its research in the application of novel sensor technologies for environmental monitoring [22] In this way, the proposed descriptors have been tested using a Spanish anuran audio database, obtaining promising results in the detection of common anuran species that live in these environments.
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