01621nas a2200181   4500008004100000245009300041210006900134300001000203490000800213520106600221653001701287653001301304653001601317653001601333100002701349700002201376856004101398       2008                        eng d00aBioacoustic studies on some cricket species (Insecta:Orthoptera: Gryllidae) from Romania0 aBioacoustic studies on some cricket species InsectaOrthoptera Gr  a57-640 vLIV3 a<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>
10abioacoustics10acrickets10aoscillogram10aspectrogram1 aIorgu, Ionuț, Ștefan1 aMustata, Gheorghe  uhttps://bio.acousti.ca/ja/node/4779202624nas a2200289   4500008004100000022001400041245011100055210006900166260001600235300001600251490000700267520172500274653002701999653002702026653001002053653002902063653002502092653001502117653002202132653001502154653002602169653001602195100002602211700002102237700002702258856004902285       2017                        eng d  a2329-929000aSpectrogram Enhancement Using Multiple Window Savitzky-Golay (MWSG) Filter for Robust Bird Sound Detection0 aSpectrogram Enhancement Using Multiple Window SavitzkyGolay MWSG  cJan-06-2017  a1183 - 11920 v253 a<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>
10abioacoustic monitoring10abird  sound  detection10abirds10adirectional spectrograms10ahidden Markov models10amonitoring10anoise measurement10arobustness10aSavitzky-Golay filter10aspectrogram1 aKoluguri, Nithin, Rao1 aMeenakshi, Nisha1 aGhosh, Prasanta, Kumar  uhttp://ieeexplore.ieee.org/document/7933047/