Background noise cancellation of manatee vocalizations using an adaptive line enhancer
| Autor: | Christopher Niezrecki, Louis N. Cattafesta, Diedrich O. Beusse, Zheng Yan |
|---|---|
| Rok vydání: | 2006 |
| Předmět: |
Conservation of Natural Resources
Acoustics and Ultrasonics Finite impulse response biology Bioacoustics Computer science Noise reduction Acoustics Background noise Accident Prevention Signal-to-noise ratio Arts and Humanities (miscellaneous) Band-pass filter biology.animal Manatee Florida Animals Computer Simulation Vocalization Animal Noise Trichechus manatus Underwater acoustics Infinite impulse response Algorithms Ships |
| Zdroj: | The Journal of the Acoustical Society of America. 120:145-152 |
| ISSN: | 0001-4966 |
| DOI: | 10.1121/1.2202885 |
| Popis: | The West Indian manatee (Trichechus manatus latirostris) has become an endangered species partly because of an increase in the number of collisions with boats. A device to alert boaters of the presence of manatees is desired. Previous research has shown that background noise limits the manatee vocalization detection range (which is critical for practical implementation). By improving the signal-to-noise ratio of the measured manatee vocalization signal, it is possible to extend the detection range. The finite impulse response (FIR) structure of the adaptive line enhancer (ALE) can detect and track narrow-band signals buried in broadband noise. In this paper, a constrained infinite impulse response (IIR) ALE, called a feedback ALE (FALE), is implemented to reduce the background noise. In addition, a bandpass filter is used as a baseline for comparison. A library consisting of 100 manatee calls spanning ten different signal categories is used to evaluate the performance of the bandpass filter, FIR-ALE, and FALE. The results show that the FALE is capable of reducing background noise by about 6.0 and 21.4 dB better than that of the FIR-ALE and bandpass filter, respectively, when the signal-to-noise ratio (SNR) of the original manatee call is -5 dB. |
| Databáze: | OpenAIRE |
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