@article {47792,
	title = {Bioacoustic studies on some cricket species (Insecta:Orthoptera: Gryllidae) from Romania},
	journal = {Analele Ştiinţifice ale Universităţii {\quotedblbase}Al. I. Cuza{\textquotedblright} Iaşi, s. Biologie animală},
	volume = {LIV},
	year = {2008},
	pages = {57-64},
	chapter = {57},
	abstract = {<p>There are 9 cricket species known from Romania belonging to the family Gryllidae. The ordinary stridulation of 7 species of those has been analyzed in this paper. The species belonging to the subfamily Gryllinae: Gryllus campestris, Acheta domestica, Melanogryllus desertus, Modicogryllus frontalis and Modicogryllus truncatus stridulate especially in the afternoon and in the evening, rarely during daytime, meanwhile the species Pteronemobius heydenii from the subfamily Nemobiinae stridulate only during daytime and especially by sunny weather, while the only species belonging to the subfamily Oecanthinae from our country fauna, Oecanthus pellucens, stridulate at night, very rarely during daytime (mostly in autumn). Details of the stridulatory vein and identification criteria for the studied cricket species are presented in this paper; also we have annalysed the spectrograms and the oscillograms for the ordinary stridulation of the 7 species. The species Modicogryllus truncatus, collected at Mărăşeşti, is a new report for Moldavia.</p>
},
	keywords = {bioacoustics, crickets, oscillogram, spectrogram},
	author = {Ionut Stefan Iorgu and Gheorghe Mustata}
}
@article {47718,
	title = {Spectrogram Enhancement Using Multiple Window Savitzky-Golay (MWSG) Filter for Robust Bird Sound Detection},
	journal = {IEEE/ACM Transactions on Audio, Speech, and Language Processing},
	volume = {25},
	year = {2017},
	month = {Jan-06-2017},
	pages = {1183 - 1192},
	abstract = {<p>Bird sound detection from real-field recordings is essential for identifying bird species in bioacoustic monitoring. Variations in the recording devices, environmental conditions, and the presence of vocalizations from other animals make the bird sound detection very challenging. In order to overcome these challenges, we propose an unsupervised algorithm comprising two main stages. In the first stage, a spectrogram enhancement technique is proposed using a multiple window Savitzky\&ndash;Golay (MWSG) filter. We show that the spectrogram estimate using MWSG filter is unbiased and has lower variance compared with its single window counterpart. It is known that bird sounds are highly structured in the time\&ndash;frequency (T\&ndash;F) plane. We exploit these cues of prominence of T-F activity in specific directions from the enhanced spectrogram, in the second stage of the proposed method, for bird sound detection. In this regard, we use a set of four moving average filters that when applied to the enhanced spectrogram, yield directional spectrograms that capture the direction specific information. We propose a thresholding scheme on the time varying energy profile computed from each of these directional spectrograms to obtain frame-level binary decisions of bird sound activity. These individual decisions are then combined to obtain the final decision. Experiments are performed with three different datasets, with varying recording and noise conditions. Frame level F-score is used as the evaluation metric for bird sound detection. We find that the proposed method, on average, achieves higher F-score (10.24\% relative) compared to the best of the six baseline schemes considered in this work.</p>
},
	keywords = {bioacoustic monitoring, bird  sound  detection, birds, directional spectrograms, hidden Markov models, monitoring, noise measurement, robustness, Savitzky-Golay filter, spectrogram},
	issn = {2329-9290},
	doi = {10.1109/TASLP.2017.2690562},
	url = {http://ieeexplore.ieee.org/document/7933047/},
	author = {Koluguri, Nithin Rao and Meenakshi, G. Nisha and Ghosh, Prasanta Kumar}
}
