Literature

作者逆向排序標題
Yen, Prins, Schmid, Hioka, Ellis, Marsland2022Design of a low-cost passive acoustic monitoring system for animal localisation from calls
Diepstraten, Kuenbou, Willie2022Methods to measure biological sounds and assess their drivers in a tropical forest
Baker, Vincent2019A deafening silence: a lack of data and reproducibility in published bioacoustics research?
Metcalf, Lees, Barlow, Marsden, Devenish2020hardRain: An R package for quick, automated rainfall detection in ecoacoustic datasets using a threshold-based approach
Li, Hao, Duan2019Nonintrusive methods for biomass estimation in aquaculture with emphasis on fish: a review
Balantic, Donovan2019Temporally adaptive acoustic sampling to maximize detection across a suite of focal wildlife species
Miralles, Lara, Gosalbez, Bosch, León2019Improved visualization of large temporal series for the evaluation of good environmental status
Küc̣üktopcu, Masazade, Ünsalan, Varshney2019A real-time bird sound recognition system using a low-cost microcontroller
Lendrum, Crooks, Wittemyer2018Pairing camera traps and acoustic recorders to monitor the ecological impact of human disturbance
Rao, Garg, Montgomery2018Investigation of Unsupervised Models for Biodiversity Assessment
López-Baucells, Torrent, Rocha, Bobrowiec, Palmeirim, Meyer2018Stronger together: Combining automated classifiers with manual post-validation optimizes the workload vs reliability trade-off of species identification in bat acoustic surveys
Dena, Rebouças, Augusto-Alves, Toledo2018Lessons from recordings lost in Brazil fire: deposit and back up
Potty, Tripathy, Tazawa, Amaral, Vigness-Raposa, Lin, Newhall2018Source localization using a compact tetrahedral array
Roch, Baumann-Pickering, Cholewiak, Fleishman, Frasier, Glotin, Helble, Hildebrand, Klinck, Lindeneau, Liu, Nosal, Palmer, Shiu, Singh2018The use of context in machine learning for bioacoustics
Rehm, Dushaw, Freitag, Heaney, Carr, Dakin, Fissel, Heard2018The feasibility of a multipurpose acoustic network in Baffin Bay
Piña-Covarrubias, Hill, Prince, Snaddon, Rogers, C. Doncaster2018Optimization of sensor deployment for acoustic detection and localization in terrestrial environments
Stidsholt, Johnson, Beedholm, Jakobsen, Kugler, Brinkløv, Salles, Moss2018A 2.6-gram sound and movement tag for studying the acoustic scene and kinematics of echolocating bats
Tougaard, Beedholm2019Practical implementation of auditory time and frequency weighting in marine bioacoustics
Duque-Montoya, Isaza2018Automatic Ecosystem Identification Using Psychoacoustical Features
T. Aide, Hernández-Serna, Campos-Cerqueira, Acevedo-Charry, Deichmann2017Species Richness (of Insects) Drives the Use of Acoustic Space in the Tropics
Paliwal, Schwerin, Wójcicki2012Speech enhancement using a minimum mean-square error short-time spectral modulation magnitude estimator
Brown, Garg, Montgomery2018Automatic and Efficient Denoising of Bioacoustics Recordings Using MMSE STSA
Bedoya, Isaza, Daza, López2017Automatic identification of rainfall in acoustic recordings
Fu, Kinniry, Kloepper2018The Chirocopter: a UAV for recording sound and video of bats at altitude
Kroodsma2017Birdsong ‘performance’ studies: a sad commentary
Browning, Gibb, Glover-Kapfer, Jones2017Passive acoustic monitoring in ecology and conservation
Runnel, Peterson, Zirk2017"My naturesound" - nature observations with sound recordings
Mukahar, Rosdi, Ramli, Jaafar2017Frog sound identification using extended k-nearest neighbor classifier
Tomar, Singh, Diwakar2017Bioacoustics or pitfall traps: comparison of a modern and traditional method to estimate Ensifera richness
Tacioli2017WASIS - Bioacoustic Species Identication based on Multiple Feature Extraction and Classication Algorithms
Lee, Chou, Han, Huang2006Automatic recognition of animal vocalizations using averaged MFCC and linear discriminant analysis
Bailey, Broughton1970The Mechanics of Stridulation in Bush Crickets (Tettigonioidea, Orthoptera) II. Conditions for Resonance in the Tegminal Generator
Bennet-Clark1984A particle velocity microphone for the song of small insects and other acoustic measurements
Azmi, Razali, Kamaruddin, Harun, Rahim, Zakaria, Shakaff2015Multi-disciplinary approach for forest health monitoring
Koluguri, G. Meenakshi, Ghosh2017Spectrogram Enhancement Using Multiple Window Savitzky-Golay (MWSG) Filter for Robust Bird Sound Detection
Stowell, Gill2017On-Bird Sound Recordings: Automatic Acoustic Recognition of Activities and Contexts
Aflitto, Hofstetter2014Use of acoustics to deter bark beetles from entering tree material
Ranjard, Reed, Landers, Rayner, Friesen, Sagar, Dunphy2017MatlabHTK: a simple interface for bioacoustic analyses using hidden Markov models
Sarria-S, Soulsbury, Montealegre-Zapata2017Non-invasive biophysical measurement of travelling waves in the insect inner ear
Zhao, Zhang, Xu, Bellisario, Dai, Omrani, Pijanowski2017Automated bird acoustic event detection and robust species classification
Dietrich, Schwenker, Palm2003Multiple Classifier Systems for the Recognition of Orthoptera Songs
Jeliazkov, Bas, Kerbiriou, Julien, Penone, Le Viol2016Large-scale semi-automated acoustic monitoring allows to detect temporal decline of bush-crickets
Riede1998Acoustic monitoring of Orthoptera and its potential for conservation
Melliger, Rusterholz, Baur2017Habitat- and matrix-related differences in species diversity and trait richness of vascular plants, Orthoptera and Lepidoptera in an urban landscape
Köhler, Jansen, Rodríguez, Kok, Toledo, Emmrich, Glaw, Haddad, Rödel, Vences2017The use of bioacoustics in anuran taxonomy: theory, terminology, methods and recommendations for best practice
Potamitis, Ntalampiras, Jahn, Riede2014Automatic bird sound detection in long real-field recordings: Applications and tools
Riede2016No phenotypic signature of acoustic competition in songs of a tropical cricket assemblage
Marques, Thomas, Martin, Mellinger, Ward, Harris2013Estimating animal population density using passive acoustics
Rydell, Nyman, Eklöf, Jones, Russo2017Testing the performances of automated identification of bat echolocation calls: A request for prudence
Lehmann, Frommolt, Lehmann, Riede2014Baseline data for automated acoustic monitoring of Orthoptera in a Mediterranean landscape, the Hymettos, Greece

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Scratchpads developed and conceived by (alphabetical): Ed Baker, Katherine Bouton Alice Heaton Dimitris Koureas, Laurence Livermore, Dave Roberts, Simon Rycroft, Ben Scott, Vince Smith