RECORD
Early and Late Time Acoustic Measures for Underwater Seismic Airgun Signals In Long-Term Acoustic Data Sets
Sound · Submitted 5 May 2016
abstract compiled · 2026-09-23 · no language-model review
The authors' main claim Results indicate that data extraction performance took an estimated 216 hours for the serial system, and 18 hours for the high performance computer.
The compiled record
The paper's own sentences, arranged. Each label is drawn from a closed vocabulary; the number beside it is the probability the classifier gave that label. Numbers in the tables are the authors', checked by code. No sentence in this record was written by a model.
Open the compiled record
The abstract, sentence by sentence
This work presents a new toolkit for describing the acoustic properties of the ocean environment before, during and after a sound event caused by an underwater seismic air-gun. The toolkit uses existing sound measures, but uniquely applies these to capture the early time period (actual pulse) and late time period (reverberation and multiple arrivals). In total, 183 features are produced for each air-gun sound. This toolkit was utilized on data retrieved from a field deployment encompassing five marine autonomous recording units during a 46-day seismic air-gun survey in Baffin Bay, Greenland. Using this toolkit, a total of 147 million data points were identified from the Greenland deployment recordings. The feasibility of extracting a large number of features was then evaluated using two separate methods: a serial computer and a high performance system. Results indicate that data extraction performance took an estimated 216 hours for the serial system, and 18 hours for the high performance computer. This paper provides an analytical description of the new toolkit along with details for using it to identify relevant data.
background contribution method result interpretation main claim
| # | sentence | role | the authors' own work | states the main conclusion | strength |
|---|---|---|---|---|---|
| s0 | This work presents a new toolkit for describing the acoustic properties of the ocean environment before, during and after a sound event caused by an underwater seismic air-gun. | contribution 1.00 | 0.91 | 0.09 | asserted 1.00 |
| s1 | The toolkit uses existing sound measures, but uniquely applies these to capture the early time period (actual pulse) and late time period (reverberation and multiple arrivals). | contribution 0.67 | 0.78 | 0.10 | asserted 1.00 |
| s2 | In total, 183 features are produced for each air-gun sound. | contribution 0.47 | 0.89 | 0.07 | asserted 1.00 |
| s3 | This toolkit was utilized on data retrieved from a field deployment encompassing five marine autonomous recording units during a 46-day seismic air-gun survey in Baffin Bay, Greenland. | method 0.99 | 0.94 | 0.03 | asserted 1.00 |
| s4 | Using this toolkit, a total of 147 million data points were identified from the Greenland deployment recordings. | result 0.90 | 0.94 | 0.05 | asserted 1.00 |
| s5 | The feasibility of extracting a large number of features was then evaluated using two separate methods: a serial computer and a high performance system. | method 0.97 | 0.91 | 0.04 | asserted 0.94 |
| s6 | Results indicate that data extraction performance took an estimated 216 hours for the serial system, and 18 hours for the high performance computer. | result 1.00 | 0.95 | 0.15 | hedged possibility 0.73 |
| s7 | This paper provides an analytical description of the new toolkit along with details for using it to identify relevant data. | contribution 0.99 | 0.77 | 0.10 | asserted 0.99 |
What was examined, and what was not
- arXiv listing abstract v1
- full text
- figures and tables
- references and citing sentences
- relations to other papers
- P abstract
- S sections
- T body sentences
- C citations
- R cross-paper relations
The paper
Original abstract
This work presents a new toolkit for describing the acoustic properties of the ocean environment before, during and after a sound event caused by an underwater seismic air-gun. The toolkit uses existing sound measures, but uniquely applies these to capture the early time period (actual pulse) and late time period (reverberation and multiple arrivals). In total, 183 features are produced for each air-gun sound. This toolkit was utilized on data retrieved from a field deployment encompassing five marine autonomous recording units during a 46-day seismic air-gun survey in Baffin Bay, Greenland. Using this toolkit, a total of 147 million data points were identified from the Greenland deployment recordings. The feasibility of extracting a large number of features was then evaluated using two separate methods: a serial computer and a high performance system. Results indicate that data extraction performance took an estimated 216 hours for the serial system, and 18 hours for the high performance computer. This paper provides an analytical description of the new toolkit along with details for using it to identify relevant data.
Human review
Discussion
Know something about this paper? Leave a comment, or highlight any passage above to comment on it.