Aquatic acoustic metrics interface utility for underwater sound monitoring and analysis

• Published in: Sensors (Basel, Switzerland) Vol. 12; no. 6; pp. 7438 - 7450
• Main Authors: Ren, Huiying, Halvorsen, Michele B, Deng, Zhiqun Daniel, Carlson, Thomas J
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 01.06.2012; Molecular Diversity Preservation International (MDPI)
• Subjects: Acoustics; Animals; Aquatic animals; audiograms; Audiometry; Batch processing; Computer programs; Editing; Evoked Potentials, Auditory - physiology; Marine; Marine mammals; Mathematical analysis; Noise; noise recording; Operating systems; Physiology; Salmon - physiology; Sensors; Signal processing; Software; Sound; sound exposure level; Sound recording; Sound Spectrography - methods; Underwater; underwater sound monitoring; User interface; Water; Water Movements; United States > US; Pacific Northwest; underwater sound monitoring; sound exposure level; software; noise recording; audiograms
• ISSN: 1424-8220; 1424-8220
• DOI: 10.3390/s120607438

Fishes and marine mammals may suffer a range of potential effects from exposure to intense underwater sound generated by anthropogenic activities such as pile driving, shipping, sonars, and underwater blasting. Several underwater sound recording (USR) devices have been built to acquire samples of the underwater sound generated by anthropogenic activities. Software becomes indispensable for processing and analyzing the audio files recorded by these USRs. In this paper, we provide a detailed description of a new software package, the Aquatic Acoustic Metrics Interface (AAMI), specifically designed for analysis of underwater sound recordings to provide data in metrics that facilitate evaluation of the potential impacts of the sound on aquatic animals. In addition to the basic functions, such as loading and editing audio files recorded by USRs and batch processing of sound files, the software utilizes recording system calibration data to compute important parameters in physical units. The software also facilitates comparison of the noise sound sample metrics with biological measures such as audiograms of the sensitivity of aquatic animals to the sound, integrating various components into a single analytical frame. The features of the AAMI software are discussed, and several case studies are presented to illustrate its functionality.