@article {58311, title = {Does the presence of an observer affect a bird{\textquoteright}s occurrence rate or singing rate during a point count?}, year = {2020}, abstract = {

The approach or presence of an observer may affect the behavior of nearby birds, rendering them either more or less detectable than when no observer is present due to a change in singing rates. To test whether there are systematic detection biases associated with the presence of an observer during point count bird surveys, we compared the occurrence and singing rates of birds during a 10-min period immediately preceding the time when an observer arrived to conduct a count and during the formal count itself by extracting song information from autonomous sound recorders. We obtained recordings of 36 species of birds detected at \≥5 locations in one of three vegetation types, including burned conifer forest, green conifer/riparian streamside forest, and riparian bottomland/marshland. We found that species richness and both the probability of occurrence and singing rate for any of the species recorded were unaffected by the presence of an observer. In addition, the probability of occurrence did not differ significantly among four 2.5-min recording sessions during 10-min counts when an observer was present. Thus, the presence of an observer did not appear to introduce any detectable systematic bias that would make bird lists or unadjusted occurrence rates inaccurate on that basis alone. In addition, rates of bird occurrence across 2.5-min temporal subsets of a 10-min count did not vary in a systematic way that would violate the assumption of equal occupancy across adjacent time periods as sometimes used to build detection histories in occupancy modeling.

}, keywords = {bird survey, detectability, observer effect, occupancy, passive acousticsampling, point count, singing rate, utonomous recording unit}, doi = {10.1111/jofo.12329}, url = {http://doi.wiley.com/10.1111/jofo.12329}, author = {Hutto, Richard L. and Hutto, Russell R.} } @article {58000, title = {Preliminary Acoustic Analysis of Farm Management Noise and Its Impact on Broiler Welfare}, journal = {Proceedings of the Royal Society B: Biological Sciences}, volume = {6}, year = {2019}, abstract = {

Farm management practices done by machinery generate a high acoustical impact on animals. The acoustic variations in terms of equivalent level (Leq) and the different types of noise can affect the well-being of broilers by means of reducing the food and water ingest. In this work, we create a dataset in which we conduct a preliminary analysis of the acoustical impact generated by the farm management in a intensive broiler poultry farm of 25,000 birds. The project collects acoustic data during the first two weeks of the birds life, focusing the study on the first week. To create the dataset we randomly select some files from each day of the study and they are analysed and labelled manually using an audio analysis software. The acoustical events defined in collaboration with the farmer and vet are fan, food and water supply, based on duration, impact and Signal to Noise Ratio (SNR). The analysis concludes that the main acoustical source in a broilers\’ farm is fan, and that it has an non negligible acoustical impact. Nevertheless, the most frequent acoustical noise source active is food supply, but with less Leq impact.

}, keywords = {acoustic impact, broiler well-fare, farm management noise, Leq, poultry farm}, author = {Oliinychenko, DmytroGerardo Jos{\'e} Ginovart-Panisello and Rosa Ma Alsina-Pag{\`e}s} } @article {57923, title = {Ability evaluation of a voice activity detection algorithm in bioacoustics: A case study on poultry calls}, year = {2019}, abstract = {

Poultry is one of the most strategic source of human foods. There have been seen some hopeful signs of bioacoustics application to monitor the health condition of this vital food source. One of the obstacles is that the bird\’s call is combined with some unvoiced sounds and extracting the calls is not easy, especially when the bird is sick. This research is a report on successful application of some of the features involved in extracting healthy and non-healthy birds\’ calls from their sound signals. One hundred and twenty birds from two genotypes \– Ross and Cobb \– were placed in two groups, a control and those challenged with respiratory diseases. They were reared and their sound was recorded daily. The vocal phrases of the recorded audio signals were extracted using the presented algorithm. Results of analysis showed that an increase in age and onset of illness are two factors that cause an error increase. Detection accuracy was calculated at 95\% for healthy young birds and 72\% for non-healthy birds. A significant part of this error is due to misclassing the calls as non-vocal segments. This meant that 97\% of the activities classified as vocal phrases were, in fact, vocal. These results showed that the idea of such an easy-to-implement algorithm could potentially be employed for the coarselevel segmentation of some animal vocalization signals with reliable outputs, which is an essential and primary step in bioacoustics research.

}, keywords = {Audio features, bioacoustics, Gallus gallus, Health monitoring, Respiratory diseases}, doi = {10.1016/j.compag.2019.105100}, url = {https://linkinghub.elsevier.com/retrieve/pii/S0168169918305982}, author = {Mahdavian, Alireza and Minaei, Saeid and Yang, Ce and Almasganj, Farshad and Rahimi, Shaban and Marchetto, Peter M.} } @conference {53258, title = {Morphometric and bioacoustic analysis Gaga chicken (Gallus gallus domesticus) at Bangkalan, Kamal Madura}, booktitle = {PROCEEDINGS OF THE 3RD INTERNATIONAL SYMPOSIUM ON CURRENT PROGRESS IN MATHEMATICS AND SCIENCES 2017 (ISCPMS2017)}, year = {2018}, publisher = {Author(s)}, organization = {Author(s)}, address = {Bali, Indonesia}, abstract = {

Gaga chicken was known as local chicken, which has potential in the business of ornamental chicken in Indonesia. Gaga chicken has two types crowing sound. Three-dangdut types and seven slow types were collected from several stockbreeding in Bangkalan, Kamal Madura. The aim of the research is to investigate the biodiversity of Gaga\’ chicken based on bioacoustics and morphometric measurement. The data were analyzed by Mann Withney analysis. The variables measured were neck length, body weight, femur length, tibia length, shank length, shank diameter, superior maxilla, wing length, comb height, the third length, and chest bone length. The parameters were measured, recorded, and analyzed for crowing duration and number of crowing using the voice recording tool and Ashampoo Music Studio 6 software. The results showed that dangdut type 215 g was bigger than slow type 197 g. Average crowing duration dangdut type were 7,67 second, with longest syllable were 9 syllable and crowing duration slow type were 6,71 with longest syllable were 10 syllable.

}, keywords = {Bioacoustic, Gaga Chicken, Morphometric, Syllable}, doi = {10.1063/1.5064139}, url = {http://aip.scitation.org/doi/abs/10.1063/1.5064139}, author = {Zulistiana, T. and Abinawanto, A.} } @article {50487, title = {Hens vary their vocal repertoire and structure when anticipating different types of reward}, journal = {Animal Behaviour}, volume = {130}, year = {2017}, month = {Jan-08-2017}, pages = {79 - 96}, abstract = {The vocalizations of nonhuman animals are considered potential indicators of motivational or internal state. In many species, different call types, and structural variation within call types, encode information about physical characteristics such as age or sex, or about variable traits such as motivation. Domestic chickens, Gallus gallus, have an elaborate vocal repertoire, enabling investigation into whether reward-related arousal is encoded within their call type and structure. Twelve hens were given a Pavlovian conditioning paradigm using sound cues to signal the availability of two food rewards (mealworms, normal food), one nonfood reward (a container of substrate suitable for dustbathing), and a sound-neutral event (sound cue, no reward). A muted-neutral treatment (no sound cue, no reward) provided a baseline for vocal behaviour. Sound cues preceded a 15 s anticipation period during which vocalizations were recorded. Hens produced a {\textquoteleft}Food call{\textquoteright} (previously defined in other studies) in anticipation of all rewards, including the nonfood reward. {\textquoteleft}Food calls{\textquoteright} and {\textquoteleft}Fast clucks{\textquoteright} were more prevalent in anticipation of rewards, and most prevalent following the cue signalling the dustbathing substrate, suggesting that this reward induced the most arousal in hens. The peak frequency of {\textquoteleft}Food calls{\textquoteright} made in anticipation of the dustbathing substrate was significantly lower than those made in anticipation of food rewards, potentially reflecting differences in arousal. Vocalizations that reliably indicate hens{\textquoteright} motivational state could be used as measures of welfare in on-farm assessment situations. Our study is the first to reveal variation in the frequency-related parameters of the {\textquoteleft}Food call{\textquoteright} in different contexts, and to show the prevalence of different call types in reward and nonreward contexts, which may have implications for welfare assessments.}, keywords = {laying hens, motivation, referential, rewards, vocalizations}, issn = {00033472}, doi = {10.1016/j.anbehav.2017.05.025}, url = {http://linkinghub.elsevier.com/retrieve/pii/S0003347217301707}, author = {McGrath, Nicky and Dunlop, Rebecca and Dwyer, Cathy and Burman, Oliver and Phillips, Clive J.C.} }