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40 results for “song analysis”
ESSENTIA analysis of audio snippets from the Million Song Dataset Taste Profile subset
<p>This upload includes the ESSENTIA analysis output of (a subset of) song snippets from the Million Song Dataset, namely those included in the Taste Profile subset. The audio snippets were collected from 7digital.com and were subsequently analyzed with ESSENTIA 2.1-beta3. Pre-trained SVM models provided by the ESSENTIA authors on their website were applied.</p> <p>The file <strong>msd_song_jsons.rar </strong>contains the ESSENTIA analysis output after applying the SVM models for highlevel feature extraction. Please note that these are 204317 files.</p> <p>The file <strong>msd_played_songs_essentia.csv.gz </strong>contains all one-dimensional real-valued fields of the jsons merged into one csv file with 204317 rows.</p> <p>The full procedure and subsequent analysis is described in</p> <p>Fricke, K. R., Greenberg, D. M., Rentfrow, P. J., & Herzberg, P. Y. (2019). Measuring musical preferences from listening behavior: Data from one million people and 200,000 songs. <em>Psychology of Music</em>, 0305735619868280.</p>
MCMC samples from an analysis reported in a paper titled "A Song of Neither Ice nor Fire: Temperature extremes had no impact on violent conflict among European societies during the 2nd millennium"
<p>These data are posterior samples from an MCMC used to estimate parameters for a Bayesian state-space time-series regression model. They are products of an analysis reported in "A Song of Neither Ice nor Fire: Temperature extremes had no impact on violent conflict among European societies during the 2nd millennium", an academic paper that has recently been submitted for peer review. We have archived the MCMC samples here in order to facilitate peer review, replication, and open science.</p> <p>The samples are stored in .RData format (matrices when loaded into an R environment) and the R code used to produce them is provided in a GitHub repo (https://github.com/wccarleton/extreme-conflict). Each .RData file contains a matrix called "samples". The columns of the matrix are each an MCMC chain for a given (column name) model parameter monitored during the MCMC simulation. See the aforementioned GitHub repo for more details.<br> <br> </p>
Fig. 1, 1–10 in Song Repertoire And Comparative Analysis Of Song Structure Of Chaffinch, Fringilla Coelebs (Fringillidae), From The Northeast Of Balkan Region
Fig. 1, 1–10. Sonograms of most frequent song types of Balkan chaffinches.
Fig. 1, 10–18 in Song Repertoire And Comparative Analysis Of Song Structure Of Chaffinch, Fringilla Coelebs (Fringillidae), From The Northeast Of Balkan Region
Fig. 1, 10–18. Sonograms of most frequent song types of Balkan chaffinches.
A comparative analysis of song amplitude across and within bird species
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An analysis of avian vocal performance at the note and song levels
<p>Sexual displays that require extreme feats of physiological performance have the potential to reliably indicate the signaller's skill or motivation. We tested for evidence of performance constraints in Adelaide's warblers (<i>Setophaga adelaidae</i>) songs. At the note level, we identified three trade-offs with well-defined limits. At the song level, we identified two trade-offs, but their limits were less well-defined than the note-level limits. Trade-offs at both levels suggest that song structure is constrained by limits to the speed of both frequency modulation (while vocalizing and between notes) and respiration. Performance metrics derived from the observed limits to performance varied moderately among individuals and strongly among song types. Note-level performance metrics were positively skewed, as predicted by the hypothesis that performance is constrained. We conclude that physiological limits on frequency modulation and respiration constrain song structure in male Adelaide's warblers. Further work is needed to determine whether receivers respond to natural levels of variation in performance, and whether performance correlates with singer quality or motivation.</p>
Network analysis reveals underlying syntactic features in a vocally learnt mammalian display, humpback whale song
<p>Vocal communication systems have a set of rules that govern the arrangement of acoustic signals, broadly defined as 'syntax'. However, there is a limited understanding of potentially shared or analogous rules across vocal displays in different taxa. Recent work on songbirds has investigated syntax using network-based modelling. This technique quantifies features such as connectivity (adjacent signals in a sequence) and recurring patterns. Here, we apply network-based modelling to the complex, hierarchically structured songs of humpback whales (Megaptera novaeangliae) from east Australia. Given the song's annual evolving pattern and the cultural conformity of males within a population, network modelling captured the patterns of multiple song types over 13 consecutive years. Song arrangements in each year displayed clear "small-world" network structure, characterised by clusters of highly connected sounds. Transitions between these connected sounds further suggested a combination of both structural stability and variability. Small-world network structure within humpback songs may facilitate the characteristic and persistent vocal learning observed. Similar small-world structures and transition patterns are found in several birdsong displays, indicating common syntactic patterns among vocal learning in multiple taxa. Understanding the syntactic rules governing vocal displays in multiple, independently evolving lineages may indicate what rules or structural features are important to the evolution of complex communication, including human language. </p>
FIGURE 7 in Description of a new species of the genus Hyalessa China (Hemiptera: Cicadidae: Sonatini) from Yunnan, China, with a key to the species of Hyalessa and a calling song analysis for two Hyalessa species
FIGURE 7. Hyalessa fuscata (Distant, 1905). Calling song. A, Power frequency spectrum with overlay of 175 spectra computed in the middle of the signal showing dominant frequencies marked by F1, F2, F3, and F4, spectrogram and oscillogram (from top to bottom) of a sequence with the four parts of the calling song. B, Detailed oscillogram of the end of A showing two phrases. C, Detailed spectrogram and oscillogram of a part of B showing three of the two different echemes type with their amplitude variation. Daehwa-dong, Goyang-city, Gyeonggi-do Province, South Korea, 26°C.
FIGURE 6. Hyalessa maculaticollis. Echemes structure. A in Description of a new species of the genus Hyalessa China (Hemiptera: Cicadidae: Sonatini) from Yunnan, China, with a key to the species of Hyalessa and a calling song analysis for two Hyalessa species
FIGURE 6. Hyalessa maculaticollis. Echemes structure. A, Power frequency spectrum represented with overlay of 52 spectra computed from echemes with high amplitude oscillations showing a dominant frequency marked by F3. B, Detailed oscillogram showing the first echeme with low amplitude oscillations and the second echeme with high amplitude oscillations. C, Power frequency spectrum represented with overlay of 71 spectra computed from echemes with low amplitude oscillations showing dominant frequencies marked by F1 and F2.
FIGURE 5 in Description of a new species of the genus Hyalessa China (Hemiptera: Cicadidae: Sonatini) from Yunnan, China, with a key to the species of Hyalessa and a calling song analysis for two Hyalessa species
FIGURE 5. Hyalessa maculaticollis (De Motschulsky, 1866). Calling song. A, Power frequency spectrum represented with overlay of 176 spectra computed in the middle of the signal showing dominant frequencies marked by F1, F2 and F3, spectrogram and oscillogram (from top to bottom) of a sequence with the three parts of the calling song. B, Detailed oscillogram of the end of A showing two phrases. C, Detailed spectrogram and oscillogram of a part of B showing three of the two different echeme types with their amplitude variation. Higashi-Hiroshima city, Japan, 30–32°C.
FIGURE 4 in Description of a new species of the genus Hyalessa China (Hemiptera: Cicadidae: Sonatini) from Yunnan, China, with a key to the species of Hyalessa and a calling song analysis for two Hyalessa species
FIGURE 4. Male pygofer of Hyalessa scutata sp. nov., holotype, Yunnan, China and the comparison of its uncal lobes with those of Hyalessa fuscata (Distant, 1905). A, Ventral view of male pygofer of Hyalessa scutata sp. nov. B, Detail of the uncal lobes of Hyalessa scutata sp. nov. in ventral view, not separated from each other. C, Detail of the uncal lobes of Hyalessa fuscata, (Korea), separated from each other at the apex of the uncus. D, Detail of the uncal lobes of Hyalessa fuscata (Korea), separated from each other from middle to apex of the uncus (Korea).
FIGURE 3 in Description of a new species of the genus Hyalessa China (Hemiptera: Cicadidae: Sonatini) from Yunnan, China, with a key to the species of Hyalessa and a calling song analysis for two Hyalessa species
FIGURE 3. Hyalessa scutata sp. nov., Yunnan, China. A, Holotype, male, dorsal habitus. B, Holotype, male, ventral habitus. C, Paratype, female, dorsal habitus.
FIGURE 1 in Description of a new species of the genus Hyalessa China (Hemiptera: Cicadidae: Sonatini) from Yunnan, China, with a key to the species of Hyalessa and a calling song analysis for two Hyalessa species
FIGURE 1. Hyalessa stratoria (Distant, 1905), holotype, male pygofer, Yunnan, China. A, Ventral view. B, Lateral view. C, Dorsal habitus.
FIGURE 8. Hyalessa fuscata. Echemes structure. A in Description of a new species of the genus Hyalessa China (Hemiptera: Cicadidae: Sonatini) from Yunnan, China, with a key to the species of Hyalessa and a calling song analysis for two Hyalessa species
FIGURE 8. Hyalessa fuscata. Echemes structure. A, Power frequency spectrum represented with overlay of 47 spectra computed from echemes with high amplitude oscillations showing dominant frequencies marked by F1, F2, F3 and F4. B, Detailed oscillogram showing the first echeme with low amplitude oscillations and the second echeme with high amplitude oscillations. C, Power frequency spectrum represented with overlay of 38 spectra computed from echemes with low amplitude oscillations showing dominant frequencies marked by F1 and F2.
FIGURES 18–34 in Clarification of taxonomic status of Pseudochorthippus geminus (Mistshenko, 1951) (Orthoptera: Acrididae: Gomphocerinae) based on male calling song analysis
FIGURES 18–34. Oscillograms of male songs of Pseudochorthippus geminus (18–29) and P. parallelus (30–34). 18, 20–21, 27―males from the environs of Alatau, Kazakhstan, 19, 22–26, 28–29―males from the environs of Tokmak, Kyrgyzstan, 30–31, 33―male from the Lepsy River, southeastern Kazakhstan, 32, 34―male from Karatau, southern Kazakhstan. Faster oscillograms of the parts of signals indicated as "20", "22–24", "27–29", "31", and "33–34" are given under the same numbers.
FIGURES 2–17. 2–9, 12–17 in Clarification of taxonomic status of Pseudochorthippus geminus (Mistshenko, 1951) (Orthoptera: Acrididae: Gomphocerinae) based on male calling song analysis
FIGURES 2–17. 2–9, 12–17―Pseudochorthippus geminus; 10–11―P. parallelus. 2―male, dorsal habitus, 3―same, lateral habitus, 4―female, dorsal habitus, 5―same, lateral habitus, 6–11―male, a part of head with left foveola, 12―female, head, lateral view, 13―male, sternal plate, ventral view, 14―male, end of abdomen, lateral view, 15―male genitalia, dorsal view, 16―same, lateral view, 17―epiphallus, dorsal view.
UNVEILING SOCIETAL REALITIES: A CRITICAL ANALYSIS OF GLOC-9'S 'UPUAN ' SONG ADDRESSING SOCIAL ISSUES
<p>This research embarks on a thorough examination of realism theory as portrayed in Gloc9's song "Upuan." Employing a qualitative and quantitative design with a descriptive method, the study engaged ten (10) respondents to delve into the song's intricate layers. Utilizing interviews and focus group discussions as primary analytical tools, the research uncovered a robust political narrative embedded within "Upuan," delineated by three prominent sub-themes: Greed for Power, Poverty, and Corruption. Through its lyrics, the song elucidates the imperative of keen observation of those in positions of authority to discern the true state of society, while concurrently advocating for leaders to uphold their responsibility to the populace. Furthermore, the analysis underscores the profound impact of music, particularly exemplified by "Upuan," in shedding light on pressing social issues, thus serving as a potent vehicle for social commentary and awareness. As a recommendation stemming from the study's findings, the researchers advocate for the incorporation of Realism Theory into educational curricula, positing it as a pivotal means to augment students' comprehension of societal dynamics. Moreover, the research underscores the transformative potential of music, urging society to recognize its capacity to foster social consciousness and catalyze positive change. In essence, the study serves as both a scholarly exploration and a poignant reminder of music's enduring role in shaping societal discourse and fostering collective awareness.</p> <p><strong><em> </em></strong></p>
Network analysis reveals underlying syntactic features in a vocally learnt mammalian display, humpback whale song
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An analysis of avian vocal performance at the note and song levels
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Supplementary material 4 from: Wu Y-A, Gao J-W, Cheng X-F, Xie M, Yuan X-P, Liu D, Song R (2020) Characterization and comparative analysis of the complete mitochondrial genome of Azygia hwangtsiyui Tsin, 1933 (Digenea), the first for a member of the family Azygiidae. ZooKeys 945: 1-16. https://doi.org/10.3897/zookeys.945.49681
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.