Vocal Variation Research Articles

Structural-Semantic Analysis of Verbs and Nouns Representing Bird Vocalizations in M. Prishvin’s Artistic and Diary Heritage

This article investigates the linguistic means employed to convey avian vocal signals within M. Prishvin’s writer’s perspective. The study used the AntConc software and was conducted in two stages, resulting in the formation of the writer’s ornitophonosphere depiction as a complex, multi-level phenomenon. Initially, all ornithonyms encountered in M. Prishvin’s literary works and diary entries were identified, followed by an analysis of their most vivid verb-based and noun-based sound-descriptive lexemes. Authors adhere to traditional classification in describing bird sounds, enabling the differentiation of vocal diversity among avian species in M. Prishvin’s oeuvre based on loudness, intensity, pitch, timbre, tempo, and clarity. The application of corpus analysis of the collected data helped to create a comprehensive picture reflecting the multi-layered and individual ornithophonosphere of the writer, demonstrating his deep understanding and sensitive perception of the surrounding world. The analysis of lexical richness and linguistic finesse of M. Prishvin’s idiolect in capturing avian vocalizations not only reveals the writer’s unique approach to ornithological themes but also provides the readers with a deeper understanding of the true voice of nature through the prism of his artistic and diary heritage.

Global analysis of acoustic frequency characteristics in birds.

Animal communication plays a crucial role in biology, yet the wide variability in vocalizations is not fully understood. Previous studies in birds have been limited in taxonomic and analytical breadth. Here, we analyse an extensive dataset of >140 000 recordings of vocalizations from 8450 bird species, representing nearly every avian order and family, under a structural causal model framework, to explore the influence of eco-evolutionary traits on acoustic frequency characteristics. We find that body mass, beak size, habitat associations and geography influence acoustic frequency characteristics, with varying degrees of interaction with song acquisition type. We find no evidence for the influence of vegetation density, sexual dimorphism, range size and competition on our measures of acoustic frequency characteristics. Our results, built on decades of researchers' empirical observations collected across the globe, provide a new breadth of evidence about how eco-evolutionary processes shape bird communication.

Persistent vocal learning in an aging open-ended learner reflected in neural FoxP2 expression

BackgroundMost vocal learning species exhibit an early critical period during which their vocal control neural circuitry facilitates the acquisition of new vocalizations. Some taxa, most notably humans and parrots, retain some degree of neurobehavioral plasticity throughout adulthood, but both the extent of this plasticity and the neurogenetic mechanisms underlying it remain unclear. Differential expression of the transcription factor FoxP2 in both songbird and parrot vocal control nuclei has been identified previously as a key pattern facilitating vocal learning. We hypothesize that the resilience of vocal learning to cognitive decline in open-ended learners will be reflected in an absence of age-related changes in neural FoxP2 expression. We tested this hypothesis in the budgerigar (Melopsittacus undulatus), a small gregarious parrot in which adults converge on shared call types in response to shifts in group membership. We formed novel flocks of 4 previously unfamiliar males belonging to the same age class, either “young adult” (6 mo − 1 year) or “older adult” (≥ 3 year), and then collected audio-recordings over a 20-day learning period to assess vocal learning ability. Following behavioral recording, immunohistochemistry was performed on collected neural tissue to measure FoxP2 protein expression in a parrot vocal learning center, the magnocellular nucleus of the medial striatum (MMSt), and its adjacent striatum.ResultsAlthough older adults show lower vocal diversity (i.e. repertoire size) and higher absolute levels of FoxP2 in the MMSt than young adults, we find similarly persistent downregulation of FoxP2 and equivalent vocal plasticity and vocal convergence in the two age cohorts. No relationship between individual variation in vocal learning measures and FoxP2 expression was detected.ConclusionsWe find neural evidence to support persistent vocal learning in the budgerigar, suggesting resilience to aging in the open-ended learning program of this species. The lack of a significant relationship between FoxP2 expression and individual variability in vocal learning performance suggests that other neurogenetic mechanisms could also regulate this complex behavior.

A new antshrike (Aves: Thamnophilidae) endemic to the Caatinga and the role of climate oscillations and drainage shift in shaping cryptic diversity of Neotropical seasonal dry forests

AbstractThe Caatinga is the largest patch of Seasonal Dry Tropical Forest in the Neotropics, located in northeastern Brazil and characterized mainly by deciduous vegetation and extreme rainfall seasonality. It has historically been treated as a biologically impoverished domain, but recent studies uncovered new diversification patterns and several new taxa of frogs, mammals, insects, and fishes. Here we employed a dense sampling regime to evaluate whether the São Francisco River (SFR) would have promoted genetic diversification and fixed phenotypic differences and how Quaternary climatic oscillations shaped distribution and population sizes in a Caatinga endemic species, the Silvery‐cheeked Antshrike (Sakesphoroides cristatus). We adopted an integrative approach using multilocus genetic, plumage, vocal data, and ecological niche modelling (ENM) to characterize evolutionary units and niche suitability in past scenarios. We recovered strong genetic structure across the SFR that was congruent with plumage and vocal variation, revealing a yet undescribed species named herein as Sakesphoroides niedeguidonae, sp. nov. (urn:lsid:zoobank.org:act:2B9FC637‐008A‐4E9A‐B92B‐69ED7FE23823s). The splitting time estimated between the newly described species and S. cristatus is consistent with the establishment of the modern course of SFR, with a more recent course shift apparently promoting the secondary contact between the two species in the Raso da Catarina region. After their split, both species experienced increases in population sizes and range sizes at similar times during the Last Glacial Maximum. We expect other Caatinga avian endemic lineages to show similar patterns of genetic differentiation across the SFR that were enhanced by Quaternary climatic oscillations.

Integrative taxonomy of an East Asian songbird indicates rapid dwarfism after island colonization

AbstractAnimals that colonize islands often undergo significant evolutionary changes in comparison with their continental counterparts as a response to specific island conditions. The pace of such changes can be relatively fast, which poses challenges in the evaluation of the taxonomic status of island taxa. The Japanese and Manchurian Bush Warbler species complex (Horornis diphone–canturians), which breeds in East Asia and the Japanese Archipelago, is such an avian example. This species complex exhibits significant morphological differentiation between different taxa, and the taxonomic status and phylogenetic relationships within the complex are debated. Here, we updated the taxonomy of this species complex and shed insight on its evolutionary history using multi‐locus phylogeographic and acoustic analyses. Our results support the conventional treatment of the two continental taxa borealis and canturians as subspecies of H. canturians, contrary to some recent proposals that they are affiliated to H. diphone. We also document a reduction in body size, that is dwarfism, and vocal divergence in the nominate subspecies H. d. diphone, which is endemic to the remote and isolated Ogasawara Islands. These changes may have happened following colonization of these islands, which was estimated to have taken place approximately 0.2 million years ago. Although H. d. diphone is clearly distinctive and deserves recognition as an evolutionarily significant unit, H. d. diphone and other H. diphone samples were not reciprocally monophyletic. Because of this lack of reciprocal monophyly and a relatively recent divergence time, we advocate maintaining its current subspecies status. We also detected reduced genetic diversity, measured as heterozygosity, in H. d. diphone. We suggest that conservation efforts in the Ogasawara Islands should prioritize the protection of this endemic subspecies. Collectively, our findings suggest that the separation between the populations on the East Asian continent and the Japanese Archipelago, followed by colonization of remote oceanic islands through long‐distance dispersal, underlie rapid phenotypic and genetic diversification of the Horornis diphone–canturians species complex.

Differences in small-breed dogs' body language and vocalizations in a negative context

A dog's emotional state is communicated primarily through body language, readily observable by humans and other animals. Additionally, dogs express visual and auditory signals differently according to the situation they are experiencing. However, there is a need for more research on smaller breeds since they tend to display more behavioral issues than larger breeds. The objective of the present study was to identify the behavioral characteristics of 25 dogs of three different small breeds (Chihuahua, Toy Poodle, and Miniature Schnauzer) in a negative context. We used a web-based tool called the Dog Actions Video Annotation Interface (DAVAI) to evaluate the movements of the tail, legs, snout, and vocalizations when the dogs were exposed to unfamiliar people. Our results showed no significant differences in dog behavior associated with breed. However, we identified variations in dog vocalizations explained by the sex, with male dogs whining more frequently than females. We highlight the importance of understanding dog body language and vocalizations, regardless of their breed. Our study is particularly relevant in negative contexts, where dogs may exhibit distress signals that require prompt intervention to alleviate their suffering.

Lesions in a songbird vocal circuit increase variability in song syntax.

Complex skills like speech and dance are composed of ordered sequences of simpler elements, but the neuronal basis for the syntactic ordering of actions is poorly understood. Birdsong is a learned vocal behavior composed of syntactically ordered syllables, controlled in part by the songbird premotor nucleus HVC (proper name). Here, we test whether one of HVC's recurrent inputs, mMAN (medial magnocellular nucleus of the anterior nidopallium), contributes to sequencing in adult male Bengalese finches (Lonchura striata domestica). Bengalese finch song includes several patterns: (1) chunks, comprising stereotyped syllable sequences; (2) branch points, where a given syllable can be followed probabilistically by multiple syllables; and (3) repeat phrases, where individual syllables are repeated variable numbers of times. We found that following bilateral lesions of mMAN, acoustic structure of syllables remained largely intact, but sequencing became more variable, as evidenced by 'breaks' in previously stereotyped chunks, increased uncertainty at branch points, and increased variability in repeat numbers. Our results show that mMAN contributes to the variable sequencing of vocal elements in Bengalese finch song and demonstrate the influence of recurrent projections to HVC. Furthermore, they highlight the utility of species with complex syntax in investigating neuronal control of ordered sequences.

Lesions in a songbird vocal circuit increase variability in song syntax

Complex skills like speech and dance are composed of ordered sequences of simpler elements, but the neuronal basis for the syntactic ordering of actions is poorly understood. Birdsong is a learned vocal behavior composed of syntactically ordered syllables, controlled in part by the songbird premotor nucleus HVC (proper name). Here, we test whether one of HVC’s recurrent inputs, mMAN (medial magnocellular nucleus of the anterior nidopallium), contributes to sequencing in adult male Bengalese finches (Lonchura striata domestica). Bengalese finch song includes several patterns: (1) chunks, comprising stereotyped syllable sequences; (2) branch points, where a given syllable can be followed probabilistically by multiple syllables; and (3) repeat phrases, where individual syllables are repeated variable numbers of times. We found that following bilateral lesions of mMAN, acoustic structure of syllables remained largely intact, but sequencing became more variable, as evidenced by ‘breaks’ in previously stereotyped chunks, increased uncertainty at branch points, and increased variability in repeat numbers. Our results show that mMAN contributes to the variable sequencing of vocal elements in Bengalese finch song and demonstrate the influence of recurrent projections to HVC. Furthermore, they highlight the utility of species with complex syntax in investigating neuronal control of ordered sequences.

Harriet Tubman's Deep Voice

Abstract The authors suggest that national investment in the educational utility of automated software comes at an enormous cost, a price paid by the very students that technology aims to convert to history as a lively and accessible field. This “high-tech mimicry” pretends to incarnate the past but instead silences the inflections of time, gender, region, race, or other vocalic variables. Further, the perception that technology is objective or unbiased conceals the vulnerabilities of language models. The authors argue that the illusions of authenticity these bots produce does not bode well for teaching African American history.

Assessment of Students’ Speaking Skills using the Competent Speaker Speech Rubric

The importance of English language learning for students worldwide, especially in countries where English serves as the medium of instruction, cannot be overstated. However, in educational institutions in Pakistan, appears to be an overemphasis on accuracy at the expense of fluency. As a result, students face challenges when communicating in English as their second language. The present study aims to assess the speaking proficiency of students who studied English II at the University of Swat, utilizing a sample comprising 65 students from two intact classes. A quantitative research design was employed to gather data, and students' presentations were observed using the Competent Speaker Speech Rubric. The results indicated that students' proficiency in five competencies, namely providing relevant supporting material, usage of suitable language, incorporation of vocal variety, usage of an effective pattern to present a topic and display of proper articulation, pronunciation and grammar, were below the satisfactory level. On a positive note, students surpassed satisfactory standards in three competencies, specifically selecting and refining a topic, effectively conveying a thesis or specific purpose, and employing physical and nonverbal cues to enhance verbal communication. The present study has significant implications for instructors, suggesting them using rubrics as valuable grading tools to evaluate students effectively.

World Voice Day 2024: Resonate, Educate, Celebrate!

Abstract: The theme of World Voice Day 2024 is “Resonate, Educate, Celebrate!” NATS members are urged to celebrate the transformative power of singing through concerts and campaigns to raise awareness of the importance of singing and advocate for vocal diversity on Tuesday, April 16. Performers and teachers can broaden repertoire choices, incorporating varied musical traditions, new, and underrepresented voices, and suggests a “Giving Tuesday.” In preparation for NATS’ 80th anniversary and the upcoming NATS National Conference, NATS announces its partnership with the non-profit organization SocialOffset.

Phonemic and pitch variability in bilingual preschoolers: A comparison of Jamaican Creole and English

Purpose The purpose of this study was to investigate the cross-linguistic influences of Jamaican Creole (JC) and English on phonemic and vocal development in bilingual JC-English-speaking preschoolers. Method Sixteen typically developing children (12 females, M = 4 years; 4 months) completed the Diagnostic Evaluation of Articulation in Phonology Word Inconsistency Assessment subtest in JC and in English. Acoustic measures of voice onset time (VOT), VOT variability (VOT SD), mean fundamental frequency (f o), and f o variability (f o SD) were extracted from each target word. Prevoicing was noted. Mixed models and regression models were analysed to understand the patterns of acoustic measures in each language, and the relationship between phonemic and vocal variability, respectively. Result Analyses showed a significant effect of language on f o SD, wherein SD was greater in English than JC. JC spoken (percentage) was a significant positive predictor of VOT SD for voiced (short lag) productions. There was no relationship between phonemic and vocal variability measures. Conclusion Greater f o SD in English may be due to linguistic f o differences and speaking environment. Variability for voiced VOT is likely due to the continued maturation of vocal and articulatory control when children are developing adult-like productions, though longitudinal studies are needed.

Taxonomic revision of the Scaled Antbird Drymophila squamata (Aves: Thamnophilidae) reveals a new and critically endangered taxon from northeastern Brazil.

The Scaled Antbird Drymophila squamata is a suboscine passerine endemic to the Atlantic Forest of eastern Brazil. Two subspecies, putatively diagnosed by the presence/absence of white spots on the crown, have traditionally been recognized: the nominate, ranging from Pernambuco to Bahia in northeastern Brazil, and D. squamata stictocorypha, from Minas Gerais to Santa Catarina in southeastern and southern Brazil. Here we combine morphological, acoustic, and genetic data to examine geographic variation in and revise the taxonomy of D. squamata. We show that there are two separately evolving population lineages in D. squamata, one south and the other north of the So Francisco River. The latter is unnamed and is thus described herein. We found that crown variation is not as geographically structured as previously thought, and thus we suggest that D. squamata stictocorypha is not a valid taxon. Finally, we also provide evidence of clinal variation in the species vocalizations and underscore the importance of broad geographic sampling when assessing species limits using vocalizations.

Exploring the impact of type II diabetes mellitus on voice quality.

This cross-sectional study aimed to investigate the potential of voice analysis as a prescreening tool for type II diabetes mellitus (T2DM) by examining the differences in voice recordings between non-diabetic and T2DM participants. 60 participants diagnosed as non-diabetic (n = 30) or T2DM (n = 30) were recruited on the basis of specific inclusion and exclusion criteria in Iran between February 2020 and September 2023. Participants were matched according to their year of birth and then placed into six age categories. Using the WhatsApp application, participants recorded the translated versions of speech elicitation tasks. Seven acoustic features [fundamental frequency, jitter, shimmer, harmonic-to-noise ratio (HNR), cepstral peak prominence (CPP), voice onset time (VOT), and formant (F1-F2)] were extracted from each recording and analyzed using Praat software. Data was analyzed with Kolmogorov-Smirnov, two-way ANOVA, post hoc Tukey, binary logistic regression, and student t tests. The comparison between groups showed significant differences in fundamental frequency, jitter, shimmer, CPP, and HNR (p < 0.05), while there were no significant differences in formant and VOT (p > 0.05). Binary logistic regression showed that shimmer was the most significant predictor of the disease group. There was also a significant difference between diabetes status and age, in the case of CPP. Participants with type II diabetes exhibited significant vocal variations compared to non-diabetic controls.

The overlooked effect of amplitude on within-speaker vowel variation

Abstract We analyse variation in vowel production within monologues produced by speakers in a quiet, well-controlled environment. Using principal component analysis (PCA) and generalized additive mixed models (GAMMs), applied to a large corpus of naturalistic recordings of New Zealand English speakers, we show that the first formant of monophthongs varies significantly with variation in a speaker’s relative amplitude. We also find that amplitude variation is used, potentially agentively, to mark the beginning and ending of topical sections within single-speaker monologues. These results have significant methodological consequences for the study of vocalic variation in the context of research on speaker style and language variation and change. While laboratory research has shown a connection between variation in F1 and amplitude in loud environments or with distant interlocutors, this has not been seen in quiet environments with unscripted speech of the sort often used in sociolinguistcs. We argue that taking account of this variation is an important challenge for both within-speaker investigation of stylistic covariation and across-speaker investigation. In the latter case we recommend, as a minimal step, the inclusion of a measure of relative amplitude within regression models.

Multilevel Bayesian analysis of monk parakeet contact calls shows dialects between European cities.

Geographic differences in vocalizations provide strong evidence for animal culture, with patterns likely arising from generations of social learning and transmission. Most studies on the evolution of avian vocal variation have predominantly focused on fixed repertoire, territorial song in passerine birds. The study of vocal communication in open-ended learners and in contexts where vocalizations serve other functions is therefore necessary for a more comprehensive understanding of vocal dialect evolution. Parrots are open-ended vocal production learners that use vocalizations for social contact and coordination. Geographic variation in parrot vocalizations typically take the form of either distinct regional variations known as dialects or graded variation based on geographic distance known as clinal variation. In this study, we recorded monk parakeets (Myiopsitta monachus) across multiple spatial scales (i.e., parks and cities) in their European invasive range. We then compared calls using a multilevel Bayesian model and sensitivity analysis, with this novel approach allowing us to explicitly compare vocalizations at multiple spatial scales. We found support for founder effects and/or cultural drift at the city level, consistent with passive cultural processes leading to large-scale dialect differences. We did not find a strong signal for dialect or clinal differences between parks within cities, suggesting that birds did not actively converge on a group level signal, as expected under the group membership hypothesis. We demonstrate the robustness of our findings and offer an explanation that unifies the results of prior monk parakeet vocalization studies.

A cultural atlas of vocal variation: yellow-naped amazons exhibit contact call dialects throughout their Mesoamerican range

IntroductionVocal dialects are a taxonomically widespread phenomenon which are typically only studied in a portion of a species’ range. Thus, it is difficult to infer whether a geographic pattern of vocal dialects observed in one part of a species’ range are typical across the range or whether local conditions influence their presence or absence. We examined the yellow-naped amazon, Amazona auropalliata, a parrot species with remarkable vocal learning capabilities. Although this species’ native range spans across Mesoamerica, only Costa Rican populations have been evaluated long-term. Previous studies have shown that these populations have geographically and temporally stable vocal dialect patterns. Without data on populations outside of Costa Rica, it is impossible to know whether vocal dialects are present in northern range populations, and whether they show similar geographic structure to southern range populations.IntroductionWe recorded yellow-naped amazon contact calls at 47 different sites across the species’ range between 2016 and 2019 and evaluated them for the presence of dialects. We visually classified 14 contact call types based on spectrographic similarity and used spectrographic cross-correlation, principal component analysis, and Mantel-based spatial autocorrelations to assess acoustic similarity; we also evaluated the robustness of our findings using simulated data. Results and DiscussionThe results from our study show that the vocal patterns previously seen in Costa Rica are also present in northern populations, supporting our hypothesis that this species has vocal dialects throughout its Mesoamerican range. Call types were regionally specific (e.g., vocal dialects occurred) across the range, and no call types were repeated across multiple regions. We did, however, observe distinctive structural characteristics that are found in multiple call types, suggesting that different call types stem from a common origin. Alternatively, similarity in the acoustic features of call types may also be a result of physiological and anatomical features that are common to all members of the species. Vocal dialects in this species are likely maintained through a tendency toward philopatry and matching call types to enhance social identification.

PELATIHAN BERPIDATO BAHASA INGGRIS PADA MAHASISWI DI AKADEMI KEBIDANAN BARUNA HUSADA SIBUHUAN

Speaking is a crucial component of language proficiency that students need to possess in order to be able to communicate in English. One of the approach to improve their English-speaking skills, boost their self-esteem, exchange ideas, and express themselves to an audience in speech. The descriptive study's analysis of students' speaking capabilities was its main objective. During a speech at Akbid Baruna Husada academic year 2022/2023. Ten students who were chosen at random to participate in the study. The information was gathered through a speaking exam in which the students were required to present a speech that had been assessed based on speeches from [1] and [2], and included (a) organizing speech; (1) Introduction, (2) Body; primary theme; and supporting evidence, a connecting sentence, (3). Conclusion; mark the conclusion; vocal variation and pauses; reinforcement); (b) the speech's phrasing; (1) Word choice, (2) grammar. giving a speech; (1); and (c). Body language, eye contact, and facial expressions of the speaker movement. (2).Speaker articulation, pronunciation, and voice. The student's speaking skill in speech was classified as "good".

Genetic and cultural evidence suggests a refugium for killer whales off Japan during the Last Glacial Maximum

AbstractDuring glacial periods, highly mobile species were able to shift their ranges to warmer regions that remained ice‐free—so‐called “glacial refugia.” Glacial refugia often preserved higher levels of genetic diversity than areas that were colonized after the retreat of glaciers. In this study, we examined genetic and vocal variation in R‐type (“resident”) killer whales,Orcinus orca, from Nemuro Strait in the western North Pacific to test the hypothesis that environmentally stable marine regions may have preserved refugial populations of the killer whale that retained historical genetic and cultural diversity. We found three distinct mtDNA control region haplotypes and stereotyped calls that differed significantly from the repertoire of a population further north off Kamchatka and the adjacent western North Pacific. Therefore, both genetic and cultural evidence suggest that at least some killer whales from Nemuro Strait represent a separate maternal lineage. The control region haplotype diversity for Nemuro Strait is comparable to that for the rest of the North Pacific. The data presented here are consistent with the existence of the southwestern glacial refugium for killer whales in the waters off northern Japan during the Last Glacial Maximum.

Theory and Data-Driven Competence Evaluation with Multimodal Machine Learning—A Chinese Competence Evaluation Multimodal Dataset

In social interactions, people who are perceived as competent win more chances, tend to have more opportunities, and perform better in both personal and professional aspects of their lives. However, the process of evaluating competence is still poorly understood. To fill this gap, we developed a two-step empirical study to propose a competence evaluation framework and a predictor of individual competence based on multimodal data using machine learning and computer vision methods. In study 1, from a knowledge-driven perspective, we first proposed a competence evaluation framework composed of 4 inner traits (skill, expression efficiency, intelligence, and capability) and 6 outer traits (age, eye gaze variation, glasses, length-to-width ratio, vocal energy, and vocal variation). Then, eXtreme Gradient Boosting (XGBoost) and Shapley Additive exPlanations (SHAP) were utilized to predict and interpret individual competence, respectively. The results indicate that 8 (4 inner and 4 outer) traits (in descending order: vocal energy, age, length-to-width ratio, glasses, expression efficiency, capability, intelligence, and skill) contribute positively to competence evaluation, while 2 outer traits (vocal variation and eye gaze variation) contribute negatively. In study 2, from a data-driven perspective, we accurately predicted competence with a cutting-edge multimodal machine learning algorithm, low-rank multimodal fusion (LMF), which exploits the intra- and intermodal interactions among all the visual, vocal, and textual features of an individual’s competence behavior. The results indicate that vocal and visual features contribute most to competence evaluation. In addition, we provided a Chinese Competence Evaluation Multimodal Dataset (CH-CMD) for individual competence analysis. This paper provides a systemic competence framework with empirical consolidation and an effective multimodal machine learning method for competence evaluation, offering novel insights into the study of individual affective traits, quality, personality, etc.