scholarly journals Pond Acoustic Sampling Scheme: A draft protocol for rapid acoustic data collection in small waterbodies

2021 ◽  
Author(s):  
Carlos Abrahams ◽  
Camille Desjonquères ◽  
Jack Greenhalgh
Keyword(s):  
Data Collection ◽  
Sampling Scheme ◽  
Acoustic Data ◽  
Small Waterbodies ◽  
Acoustic Sampling

Passive tracking of autonomous underwater vehicles (AUVs) using a low-cost acoustic data collection system

2017 ◽  
Vol 141 (5) ◽  
pp. 3916-3916
Author(s):  
Erin M. Fischell ◽  
Kristen Railey ◽  
Oscar A. Viquez ◽  
Henrik Schmidt
Keyword(s):  
Data Collection ◽  
Low Cost ◽  
Autonomous Underwater Vehicles ◽  
Underwater Vehicles ◽  
Collection System ◽  
Data Collection System ◽  
Acoustic Data ◽  
Passive Tracking

scholarly journals An optimised passive acoustic sampling scheme to discriminate among coral reefs’ ecological states

2019 ◽  
Vol 107 ◽  
pp. 105627 ◽  
Author(s):  
Simon Elise ◽  
Arthur Bailly ◽  
Isabel Urbina-Barreto ◽  
Gérard Mou-Tham ◽  
Frédéric Chiroleu ◽  
...  
Keyword(s):  
Coral Reefs ◽  
Sampling Scheme ◽  
Passive Acoustic ◽  
Acoustic Sampling

scholarly journals The combined use of visual and acoustic data collection techniques for winter killer whale ( Orcinus orca ) observations

2016 ◽  
Vol 8 ◽  
pp. 24-30 ◽  
Author(s):  
R.E. Burham ◽  
R.S. Palm ◽  
D.A. Duffus ◽  
X. Mouy ◽  
A. Riera
Keyword(s):  
Data Collection ◽  
Killer Whale ◽  
Orcinus Orca ◽  
Acoustic Data ◽  
Combined Use

New Developments in Multibeam Backscatter Data Collection and Processing

2001 ◽  
Vol 35 (4) ◽  
pp. 46-50 ◽  
Author(s):  
Doug Lockhart ◽  
Edward Saade ◽  
Jerry Wilson
Keyword(s):  
Data Collection ◽  
Sidescan Sonar ◽  
New Developments ◽  
Acoustic Data ◽  
Bathymetric Data ◽  
Data Products ◽  
Processing Techniques

Recognition of the superior data and coverage from multibeam echosounders (MBES) has been widespread and is increasing rapidly. In addition to the significant value of ensonification of a swath as compared to a profile of bathymetric data, the acoustic data have been frequently presented as "psuedo-sidescan-sonar". Field programs conducted during 2001 using Reson MBES systems and TritonElics software gave us the opportunity to develop enhanced acoustic imagery by manipulation of the backscatter information within each MBES beam. This work has resulted in improved MBES data products using new acquisition and processing techniques.

Acoustic Data Collection of Tactical Unmanned Air Vehicles (TUAVs)

2002 ◽  
Author(s):  
Tien Pham ◽  
Leng Sim
Keyword(s):  
Data Collection ◽  
Unmanned Air Vehicles ◽  
Acoustic Data ◽  
Air Vehicles

Development and calibration of an underwater acoustic data collection system for monitoring coarse bedload transport

2019 ◽  
Vol 155 ◽  
pp. 383-390 ◽  
Author(s):  
Bradley Goodwiller ◽  
Daniel G. Wren ◽  
Cristiane Q. Surbeck
Keyword(s):  
Data Collection ◽  
Bedload Transport ◽  
Collection System ◽  
Data Collection System ◽  
Underwater Acoustic ◽  
Acoustic Data

WOZ acoustic data collection for interactive TV

2010 ◽  
Vol 44 (3) ◽  
pp. 205-219 ◽  
Author(s):  
Alessio Brutti ◽  
Luca Cristoforetti ◽  
Walter Kellermann ◽  
Lutz Marquardt ◽  
Maurizio Omologo
Keyword(s):  
Data Collection ◽  
Interactive Tv ◽  
Acoustic Data

scholarly journals Evaluation of Quenching Methods for the Purpose of Acoustic Data Collection

2017 ◽  
Vol 10 ◽  
pp. 1118-1128 ◽  
Author(s):  
Travis J. Roney ◽  
Samantha N. Muhhuku ◽  
Chetan P. Nikhare ◽  
Ihab Ragai ◽  
David R. Loker
Keyword(s):  
Data Collection ◽  
Acoustic Data

Properties of abundance indices obtained from acoustic data collected by inshore herring gillnet boats

2001 ◽  
Vol 58 (12) ◽  
pp. 2502-2512 ◽  
Author(s):  
Ross R Claytor ◽  
Jacques Allard
Keyword(s):  
Nova Scotia ◽  
Data Collection ◽  
Survey Design ◽  
Viable Alternative ◽  
Abundance Index ◽  
Acoustic Data ◽  
Abundance Indices ◽  
Before And After ◽  
Sampling Variation ◽  
Survey Protocol

Acoustic data collection during fishing activities can be used to obtain an abundance index. A simulation, calibrated against an experiment conducted during the Pictou, Nova Scotia, Canada, 1997 inshore herring fishery, is used to understand how survey design affects the properties of abundance indices derived from these data. Two fishing survey protocols and random and systematic transect surveys were simulated. During the complete fishing survey protocol, the simulated survey boat collected acoustic data before and after a management-imposed nightly boat limit was caught. In contrast, during the incomplete fishing survey protocol, data collection was terminated when the boat limit was caught. Properties of abundance indices derived from the fishing and transect surveys were examined over five levels of fish dispersion, two conditions of fish mobility, and in the presence and absence of concurrent fleet fishing. All indices were subject to change caused by changing fish dispersion, but only the incomplete fishing survey index was highly unsatisfactory. The complete fishing survey index is more susceptible to change than the transect indices but displays a lower sampling variation across conditions than the transect indices. We conclude that the complete fishing survey index is a viable alternative to the transect indices.

An evaluation of noise on LPC-based vowel formant estimates: Implications for sociolinguistic data collection

2016 ◽  
Vol 2 (1) ◽  
Author(s):  
Paul De Decker
Keyword(s):  
Data Collection ◽  
Noise Levels ◽  
Signal To Noise ◽  
Noise Interference ◽  
Acoustic Data ◽  
Current Trends ◽  
Vowel Formant ◽  
Audio Recordings ◽  
Different Types ◽  
Made In

AbstractCurrent trends in sociophonetic data analysis indicate a shift to entirely automatic measurements of spectral properties using programs like Praat. While such practices are useful for the rapid collection of acoustic data from large corpora, they, by default do not permit human analysts to provide quality control or make hand corrected measurements when needed. Under ideal signal-to-noise conditions, such as in a sound-proof room, this may not be a problem. However, analysis of audio recordings made in acoustically-uncontrolled environments, like many standard sociolinguistic interviews, are arguably susceptible to spurious estimates using automated routines. This paper presents the results of a highly controlled noise-interference experiment designed to examine the effects of different types of noise at varying signal-to-noise levels on automated LPC-based vowel formant measurements made in Praat. Findings indicate that some noises are more detrimental than others, affect some formant frequencies more than others and that louder noises make it inappropriate to conduct an analysis of F1 and F2. Results are discussed and suggestions for better practices in recording sociolinguistic interviews for sociophonetic data collection are presented.

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