Lee, C.H.,
Hsu, S.B.,
Shih, J.L.,
Chou, C.H.,
Continuous Birdsong Recognition Using Gaussian Mixture Modeling of
Image Shape Features,
MultMed(15), No. 2, 2013, pp. 454-464.
IEEE DOI
1302
BibRef
Jancovic, P.,
Kokuer, M.,
Acoustic Recognition of Multiple Bird Species Based on Penalized
Maximum Likelihood,
SPLetters(22), No. 10, October 2015, pp. 1585-1589.
IEEE DOI
1506
Markov processes
BibRef
Nanni, L.[Loris],
Aguiar, R.L.[Rafael L.],
Costa, Y.M.G.[Yandre M.G.],
Brahnam, S.[Sheryl],
Silla Jr., C.N.[Carlos N.],
Brattin, R.L.[Ricky L.],
Zhao, Z.[Zhao],
Bird and whale species identification using sound images,
IET-CV(12), No. 2, March 2018, pp. 178-184.
DOI Link
1804
BibRef
Hsu, S.,
Lee, C.,
Chang, P.,
Han, C.,
Fan, K.,
Local Wavelet Acoustic Pattern: A Novel Time-Frequency Descriptor for
Birdsong Recognition,
MultMed(20), No. 12, December 2018, pp. 3187-3199.
IEEE DOI
1812
acoustic signal processing, cepstral analysis, convolution,
discrete wavelet transforms, feature extraction,
vector of locally aggregated descriptors (VLAD)
BibRef
Bold, N.[Naranchimeg],
Zhang, C.[Chao],
Akashi, T.[Takuya],
Cross-Domain Deep Feature Combination for Bird Species Classification
with Audio-Visual Data,
IEICE(E102-D), No. 10, October 2019, pp. 2033-2042.
WWW Link.
1912
BibRef
Cosentino,
Balestriero, R.[Randall],
Baraniuk, R.G.[Richard G.],
Aazhang, B.[Behnaam],
Universal Frame Thresholding,
SPLetters(27), 2020, pp. 1115-1119.
IEEE DOI
2007
Upper bound, Scattering, Signal processing algorithms,
Computational complexity, Discrete wavelet transforms, Bird song,
wavelet
BibRef
Liu, M.[Ming],
Sun, Q.Y.[Qi-Yu],
Brewer, D.E.[Dustin E.],
Gehring, T.M.[Thomas M.],
Eickholt, J.[Jesse],
An Ornithologist's Guide for Including Machine Learning in a
Workflow to Identify a Secretive Focal Species from Recorded Audio,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link
2208
BibRef
Zhang, F.[Fei],
Liu, W.[Wei],
Zhang, J.J.[Jun-Jie],
Wang, K.[Kai],
Bird Song Recognition Based on Deep Transfer Learning with XGBoost,
ICRVC22(96-102)
IEEE DOI
2301
Time-frequency analysis, Solid modeling, Image recognition,
Transfer learning, Transforms, Feature extraction, log-Mels
BibRef
Acconcjaioco, M.[Michelangelo],
Ntalampiras, S.[Stavros],
One-shot learning for acoustic identification of bird species in
non-stationary environments,
ICPR21(755-762)
IEEE DOI
2105
Training, Dictionaries, Neural networks,
Birds, Pattern recognition, Standards
BibRef
Shim, J.Y.[Joo Yong],
Kim, J.[Joongheon],
Kim, J.K.[Jong-Kook],
S2I-Bird: Sound-to-Image Generation of Bird Species using Generative
Adversarial Networks,
ICPR21(2226-2232)
IEEE DOI
2105
Deep learning, Image synthesis, Birds,
Generative adversarial networks, Feature extraction,
Pattern recognition
BibRef
Reyes, A.K.[Angie K.],
Caicedo, J.C.[Juan C.],
Camargo, J.E.[Jorge E.],
Identifying Colombian Bird Species from Audio Recordings,
CIARP16(274-281).
Springer DOI
1703
BibRef
Fukuzawa, Y.,
Marsland, S.,
Pawley, M.,
Gilman, A.,
Segmentation of harmonic syllables in noisy recordings of bird
vocalisations,
ICVNZ16(1-6)
IEEE DOI
1701
Birds
BibRef
Dong, X.,
Eichinski, P.,
Towsey, M.,
Zhang, J.,
Roe, P.,
Birdcall Retrieval from Environmental Acoustic Recordings Using Image
Processing,
DICTA15(1-6)
IEEE DOI
1603
acoustic signal processing
BibRef
Ruiz-Muñoz, J.F.[José Francisco],
Orozco-Alzate, M.[Mauricio],
Castellanos-Domínguez, C.G.[César Germán],
Threshold Estimation in Energy-Based Methods for Segmenting Birdsong
Recordings,
CIARP13(I:480-487).
Springer DOI
1311
BibRef
Vilches, E.[Erika],
Escobar, I.A.[Ivan A.],
Vallejo, E.E.[Edgar E.],
Taylor, C.E.[Charles E.],
Data Mining Applied to Acoustic Bird Species Recognition,
ICPR06(III: 400-403).
IEEE DOI
0609
BibRef
Chapter on Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection continues in
Agriculture, Inspection -- Fish, Fish Motion, Detection .