Recognizing transient low-frequency whale sounds by spectrogram correlation.

By David K. Mellinger, C. Clark. Journal of the Acoustical Society of America, 2000

340 citations recorded by the source corpus.

Subfields: Developmental Biology, Ecology, Oceanography

View Paper: https://www.semanticscholar.org/paper/bc0b70cbc8ee7388eb4084c72d21c2cba72090fe

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Citations in the corpus

Estimating population size of a nocturnal burrow-nesting seabird using acoustic monitoring and habitat mapping (2014, methodology): “Specifically, we used an image processing technique known as spectrogram cross-correlation to detect and classify sounds in our field recordings that were correlated with the spectral characteristics of typical Cory’s shearwater vocalizations (Mellinger and Clark 2000).”
An Overview of Fixed Passive Acoustic Observation Methods for Cetaceans (2007, methodology): “To assess the seasonal presence of Antarctic blue whales, data were automatically scanned by use of a spectrogram correlation routine (Mellinger and Clark, 2000) to detect their characteristic 28-Hz calls.”
Assessing the performance of a semi‐automated acoustic monitoring system for primates (2015, methodology): “…applied for automatic signal recognition, which includes signal detection and classification, such as decision trees (Acevedo et al. 2009; Digby et al. 2013), spectrogram correlation (Mellinger & Clark 2000; Swiston & Mennill 2009) and support vector machines (Fagerlund 2007; Acevedo et al. 2009).”
Acoustic monitoring in terrestrial environments using microphone arrays: applications, technological considerations and prospectus (2011, methodology): “For simple or complex sounds with low variability, template-based detection algorithms using spectrogram correlation (Mellinger & Clark 2000) or matched filters (Erbe et al. 1999) can perform quite well, even in higher noise environments.”
The remote environmental assessment laboratory's acoustic library: An archive for studying soundscape ecology (2012, positive): “For instance, Mellinger and Clark (2000) addressed classification of whale songs, with specific application to identification of bowhead song end notes, using spectrogram correlation, Chou et al. (2007) used HMMs for recognition of bird species based on song syllables, and Kasten et al. (2010) used…”
Detecting small changes in populations at landscape scales: a bioacoustic site-occupancy framework (2019, methodology): “, potential target signals) by matching patterns in the data to user-defined templates (Mellinger and Clark, 2000), in our case high-quality recordings of territorial calls we collected within and outside our study area (Fig.”
ACOUSTIC IDENTIFICATION OF NINE DELPHINID SPECIES IN THE EASTERN TROPICAL PACIFIC OCEAN (2000, background): “…mammals is becoming an increasingly common element of shipboard surveys, acoustic species identification has, until recently, received less attention (Steiner 1981, Potter et al. 1994, Schultz and Corkeron 1994, Wang et al. 1995, Matthews et al. 1999, Rendell et al. 1999, Mellinger and Clark 2000).”