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Acoustic communities are acoustically active species aggregations within a habitat, where vocal interactions between species can interfere their communication. The acoustic adaptation hypothesis (AAH) explains how the habitat favors the transmission of acoustic signals. To understand how bird acoustic communities are structured, we tested the effect of habitat structure on the phylogenetic structure, and on the phylogenetic and vocal diversity of acoustic communities in a semi-arid zone of Mexico. From autonomous recordings in three types of vegetation (crop fields, tetecheras, and mesquiteras), which differ in terms of complexity and canopy openness, we evaluated sound attenuation, and estimated metrics of phylogenetic structure and diversity as well as acoustic diversity with the use of two indices. Mesquiteras showed greater vegetation density, more attenuation, more vocal diversity, as well as a phylogenetic structure that tended towards overdispersion, in contrast to crop fields that showed less vegetation density, less attenuation, less vocal diversity and more phylogenetic relatedness, while tetecheras showed intermediate patterns. Phylogenetic structure was explained by vegetation density and excess attenuation. The higher vocal diversity, phylogenetic structure tended towards overdispersion. These results suggest a role for environmental filters in the crop fields, where more closely related species with similar vocal characteristics coexist (supporting AAH), and probably competitive exclusion in the mesquiteras, where more distantly related species coexist, promoting vocal diversity. This study offers information about the influence of habitat on the acoustic community structure, which could inform our understanding of the distribution of species from acoustic perspective.

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PURPOSE: To determine if there is an association between vocal gender presentation and the gender and context of the listener. METHOD: Quantitative and transversal study. 47 speakers of Brazilian Portuguese of different genders were recorded. Recordings included sustained vowel emission, connected speech, and the expressive recital of a poem. Subsequently, four scripts were used in Praat to extract 16 acoustic measurements related to prosody. Voices underwent Auditory-Perceptual Assessment (APA) of the gender presentation by 236 people [65 speech and language pathologist (SLP) with experience in the area of the voice (SLP), 101 cisgender people (CG), and 70 transgender and non-binary people (TNB)]. Gender presentation was evaluated by visual analogue scale. Agreement analyses were executed among quantitative variables and multiple linear regression models were generated to predict APA, taking the judge context/gender and speaker gender into consideration. RESULTS: Acoustic analysis revealed that cis and transgender women had higher median fundamental frequency (fo) values than other genders. Cisgender women exhibited greater breathiness, while cisgender men showed more vocal quality deviations. In terms of APA, significant differences were observed among judge groups: SLP judged vowel samples differently from other groups, and TNB judged speech samples differently (both p<0.001). The predictive measures for the APA varied based on the sample type, speaker gender, and judge group. For vowel samples, only SLP judges had predictive measures (fo and ABI Jitter) for cisgender speakers. In number counting samples, predictive measures for cisgender speakers included fomed and HNR for CG judges, and fomed for both SLP and TNB judges. For transgender and non-binary speakers, predictive measures were fomed for CG and SLP judges, and fomed, CPPs, and ABI for TNB judges. In the poem recital task, predictive measures for cisgender speakers were fomed and HNR for both SLP and CG judges, with additional measures of cvint and sr for CG judges, and fomed, HNR, cvint, and fopeakwidth for TNB judges. For transgender and non-binary speakers, the predictive measures included a wider range of acoustic features such as fomed, fosd, sr, fomin, emph, HNR, Shimmer, and fo peakwidth for SLP judges, and fomed, fosd, sr, fomax, emph, HNR, and Shimmer for CG judges, while TNB judges considered fomed, sr, emph, fosd, Shimmer, HNR, Jitter, and fomax. CONCLUSIONS: There is an association between the perception of gender presentation in the voice and the gender or context of the listener and the speaker. Transgender and non-binary judges diverged to a higher degree from cisgender and SLP judges. Compared to the evaluation of cisgender speakers, all judge groups used a greater number of acoustic measurements when analyzing the speech of transgender and non-binary individuals in the poem recital samples.

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Human-robot collaboration will play an important role in the fourth industrial revolution in applications related to hostile environments, mining, industry, forestry, education, natural disaster and defense. Effective collaboration requires robots to understand human intentions and tasks, which involves advanced user profiling. Voice-based communication, rich in complex information, is key to this. Beamforming, a technology that enhances speech signals, can help robots extract semantic, emotional, or health-related information from speech. This paper describes the implementation of a system that provides substantially improved signal-to-noise ratio (SNR) and speech recognition accuracy to a moving robotic platform for use in human-robot interaction (HRI) applications in static and dynamic contexts. This study focuses on training deep learning-based beamformers using acoustic model-based multi-style training with measured room impulse responses (RIRs). The results show that this approach outperforms training with simulated RIRs or matched measured RIRs, especially in dynamic conditions involving robot motion. The findings suggest that training with a broad range of measured RIRs is sufficient for effective HRI in various environments, making additional data recording or augmentation unnecessary. This research demonstrates that deep learning-based beamforming can significantly improve HRI performance, particularly in challenging acoustic environments, surpassing traditional beamforming methods.

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Recent research has demonstrated the effectiveness of convolutional neural networks (CNN) in assessing the health status of bee colonies by classifying acoustic patterns. However, developing a monitoring system using CNNs compared to conventional machine learning models can result in higher computation costs, greater energy demand, and longer inference times. This study examines the potential of CNN architectures in developing a monitoring system based on constrained hardware. The experimentation involved testing ten CNN architectures from the PyTorch and Torchvision libraries on single-board computers: an Nvidia Jetson Nano (NJN), a Raspberry Pi 5 (RPi5), and an Orange Pi 5 (OPi5). The CNN architectures were trained using four datasets containing spectrograms of acoustic samples of different durations (30, 10, 5, or 1 s) to analyze their impact on performance. The hyperparameter search was conducted using the Optuna framework, and the CNN models were validated using k-fold cross-validation. The inference time and power consumption were measured to compare the performance of the CNN models and the SBCs. The aim is to provide a basis for developing a monitoring system for precision applications in apiculture based on constrained devices and CNNs.

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In recent years, several automated and noninvasive methods for wildlife monitoring, such as passive acoustic monitoring (PAM), have emerged. PAM consists of the use of acoustic sensors followed by sound interpretation to obtain ecological information about certain species. One challenge associated with PAM is the generation of a significant amount of data, which often requires the use of machine learning tools for automated recognition. Here, we couple PAM with BirdNET, a free-to-use sound algorithm to assess, for the first time, the precision of BirdNET in predicting three tropical songbirds and to describe their patterns of vocal activity over a year in the Brazilian Pantanal. The precision of the BirdNET method was high for all three species (ranging from 72 to 84%). We were able to describe the vocal activity patterns of two of the species, the Buff-breasted Wren (Cantorchilus leucotis) and Thrush-like Wren (Campylorhynchus turdinus). Both species presented very similar vocal activity patterns during the day, with a maximum around sunrise, and throughout the year, with peak vocal activity occurring between April and June, when food availability for insectivorous species may be high. Further research should improve our knowledge regarding the ability of coupling PAM with BirdNET for monitoring a wider range of tropical species.

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This study focuses on the acoustic classification of delphinid species at the southern continental slope of Brazil. Recordings were collected between 2013 and 2015 using towed arrays and were processed using a classifier to identify the species in the recordings. Using Raven Pro 1.6 software (Cornell Laboratory of Ornithology, Ithaca, NY), we analyzed whistles for species identification. The random forest algorithm in R facilitates classification analysis based on acoustic parameters, including low, high, delta, center, beginning, and ending frequencies, and duration. Evaluation metrics, such as correct and incorrect classification percentages, global accuracy, balanced accuracy, and p-values, were employed. Receiver operating characteristic curves and area-under-the-curve (AUC) values demonstrated well-fitting models (AUC ≥ 0.7) for species definition. Duration and delta frequency emerged as crucial parameters for classification, as indicated by the decrease in mean accuracy. Multivariate dispersion plots visualized the proximity between acoustic and visual match data and exclusively acoustic encounter (EAE) data. The EAE results classified as Delphinus delphis (n = 6), Stenella frontalis (n = 3), and Stenella longirostris (n = 2) provide valuable insights into the presence of these species between approximately 23° and 34° S in Brazil. This study demonstrates the effectiveness of acousting classification in discriminating delphinids through whistle parameters.

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Stridulation is used by male katydids to produce sound via the rubbing together of their specialised forewings, either by sustained or interrupted sweeps of the file producing different tones and call structures. There are many species of Orthoptera that remain undescribed and their acoustic signals are unknown. This study aims to measure and quantify the mechanics of wing vibration, sound production and acoustic properties of the hearing system in a new genus of Pseudophyllinae with taxonomic descriptions of two new species. The calling behaviour and wing mechanics of males were measured using micro-scanning laser Doppler vibrometry, microscopy, and ultrasound sensitive equipment. The resonant properties of the acoustic pinnae of the ears were obtained via µ-CT scanning and 3D printed experimentation, and numerical modelling was used to validate the results. Analysis of sound recordings and wing vibrations revealed that the stridulatory areas of the right tegmen exhibit relatively narrow frequency responses and produce narrowband calls between 12 and 20 kHz. As in most Pseudophyllinae, only the right mirror is activated for sound production. The acoustic pinnae of all species were found to provide a broadband increased acoustic gain from ~40-120 kHz by up to 25 dB, peaking at almost 90 kHz which coincides with the echolocation frequency of sympatric bats. The new genus, named Satizabalus n. gen., is here derived as a new polytypic genus from the existing genus Gnathoclita, based on morphological and acoustic evidence from one described (S. sodalis n. comb.) and two new species (S. jorgevargasi n. sp. and S. hauca n. sp.). Unlike most Tettigoniidae, Satizabalus exhibits a particular form of sexual dimorphism whereby the heads and mandibles of the males are greatly enlarged compared to the females. We suggest that Satizabalus is related to the genus Trichotettix, also found in cloud forests in Colombia, and not to Gnathoclita.

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The following work presents the first study applying the passive acoustic monitoring of anurans at lotic environments for a long time. This study aims to test the efficiency of the passive acoustic monitoring method and active monitoring in detecting anurans in lotic environments of Itinguçu State Park. Specifically, we tested whether species richness differs when comparing active and passive monitoring surveys. Therefore, this study aims to test the efficiency of the passive acoustic monitoring method and active monitoring in detecting anurans in lotic environments of the Itinguçu State Park. The passive acoustic monitoring period was 72 uninterrupted hours at each collection point with intervals of 45 days. Finally, species richness was calculated, and the efficiency of the methods was compared in different scenarios. Our results demonstrated that the park has species that vocalize day and night, but most at night, there is overlapping acoustic niche; waterfall environments harm the quality of recordings; and in lotic environments the active monitoring method was more efficient than the passive acoustic monitoring in all sampling scales. Although the passive acoustic monitoring was not as efficient in a low temporal scale, it tends to increase in efficiency with longer sampling duration.

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Sound speed profiles in the ocean are determined by seawater properties, where horizontal variability of thermal stratification modulates sonar detection distance. This work assesses the impacts of upwelling dynamics on sound speed profile in enclosed coastal areas by means of temperature observations acquired with a low-cost platform in Anjos Cove, Cabo Frio, Brazil. The Integrated Acquisition System for Research in Acoustics (IARA) consists of a customized 10-meter-long chain of smart temperature sensors (±0.1°C accuracy) mounted in an anchored vertical cable and an echo sounder for tide level measurements. From 2021 to 2023 a number of intrusion events of the cold South Atlantic Central Water (SACW) took place along the Cabo Frio continental shelf, some of which were recorded in the inner region of the Anjos Cove by IARA. Sound speed profiles computed by applying TEOS-10 standards indicate that the sound propagation within Anjos Cove varies often, i.e., several orders of magnitude, under the influence of SACW intrusion events. The phenomenon reflects information from deeper waters on a coastal scale, even at small depths.

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Passive acoustic monitoring (PAM) is a powerful tool for studying ecosystems. However, its effective application in tropical environments, particularly for insects, poses distinct challenges. Neotropical katydids produce complex species-specific calls, spanning mere milliseconds to seconds and spread across broad audible and ultrasonic frequencies. However, subtle differences in inter-pulse intervals or central frequencies are often the only discriminatory traits. These extremities, coupled with low source levels and susceptibility to masking by ambient noise, challenge species identification in PAM recordings. This study aimed to develop a deep learning-based solution to automate the recognition of 31 katydid species of interest in a biodiverse Panamanian forest with over 80 katydid species. Besides the innate challenges, our efforts were also encumbered by a limited and imbalanced initial training dataset comprising domain-mismatched recordings. To overcome these, we applied rigorous data engineering, improving input variance through controlled playback re-recordings and by employing physics-based data augmentation techniques, and tuning signal-processing, model and training parameters to produce a custom well-fit solution. Methods developed here are incorporated into Koogu, an open-source Python-based toolbox for developing deep learning-based bioacoustic analysis solutions. The parametric implementations offer a valuable resource, enhancing the capabilities of PAM for studying insects in tropical ecosystems. This article is part of the theme issue 'Towards a toolkit for global insect biodiversity monitoring'.

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Insects are the most diverse animal taxon on Earth and play a key role in ecosystem functioning. However, they are often neglected by ecological surveys owing to the difficulties involved in monitoring this small and hyper-diverse taxon. With technological advances in biomonitoring and analytical methods, these shortcomings may finally be addressed. Here, we performed passive acoustic monitoring at 141 sites (eight habitats) to investigate insect acoustic activity in the Viruá National Park, Brazil. We first describe the frequency range occupied by three soniferous insect groups (cicadas, crickets and katydids) to calculate the acoustic evenness index (AEI). Then, we assess how AEI varies spatially and temporally among habitat types, and finally we investigate the relationship between vegetation structure variables and AEI for each insect category. Overall, crickets occupied lower and narrower frequency bands than cicadas and katydids. AEI values varied among insect categories and across space and time. The highest acoustic activity occurred before sunrise and the lowest acoustic activity was recorded in pastures. Canopy cover was positively associated with cricket acoustic activity but not with katydids. Our findings contribute to a better understanding of the role of time, habitat and vegetation structure in shaping insect activity within diverse Amazonian ecosystems. This article is part of the theme issue 'Towards a toolkit for global insect biodiversity monitoring'.

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Blast fishing is an illegal fishing method that not only affects fish populations and the marine ecosystem, but also local food security and local economy. Despite its effects, blast fishing continues to persist in many coastal regions around the world, including Todos os Santos Bay (BTS - Baia de Todos os Santos) in Northeastern Brazil. This study provides the first acoustic record of underwater explosions along this region. The acoustic data were collected between 2016 and 2018, from a boat-survey platform, using a portable system consisting of an HTI-90 min hydrophone (sensitivity of about -165 dB re 1 V/µPa) connected to a TASCAM DR-40 digital recorder (combined frequency response up to 30 kHz), recording at 7 m depth. The acoustic analysis was performed using both RAVEN 1.6 and MATLAB 2021a softwares. The results revealed a distinctive underwater explosion signal detected in the BTS, indicating evidence of blast fishing activities. The acoustic characterization of blast fishing in BTS provides crucial information on its occurrence and extent of this destructive practice worldwide.

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Visual observation data collected by protected species observers (PSOs) is required per regulations stipulated in Notices to Lessees (NTLs) and geophysical survey Permits (Form BOEM-0328) issued to seismic operators in the Gulf of Mexico (GOM). Here, data collected by certified and trained PSOs during seismic surveys conducted between 2002-2015 were compiled and analyzed to assess utility in assessing marine mammal responses to seismic noise and effectiveness of required mitigation measures. A total of 3,886 agency-required bi-weekly PSO Effort and Sightings reports were analyzed comprising 598,319 hours of PSO visual effort and 15,117 visual sighting records of marine mammals. The observed closest point of approach (CPA) distance was statistically compared across five species groupings for four airgun activity levels (full, minimum source, ramp up, silent). Whale and dolphin detections were significantly farther from airgun array locations during full power operations versus silence, indicating some avoidance response to full-power operations. Dolphin CPA distances were also significantly farther from airguns operating at minimum source than silence. Blackfish were observed significantly farther from the airgun array during ramp up versus both full and minimum source activities. Blackfish were observed significantly closer to the airgun array during silent activities versus at full, minimum source, and ramp up activities. Beaked whales had the largest mean CPA for detection distance compared to all other species groups. Detection distances for beaked whales were not significantly differences between full and silent operations; however, the sample size was very low. Overall results are consistent with other studies indicating that marine mammals may avoid exposure to airgun sounds based on observed distance from the seismic source during specified source activities. There was geographic variability in sighting rates associated with specific areas of interest within the GOM. This study demonstrates that agency required PSO reports provide a robust and useful data set applicable to impact assessments; management, policy and regulatory decision making; and qualitative input for regional scientific, stock assessment and abundance studies. However, several improvements in content and consistency would facilitate finer-scale analysis of some topics (e.g., effort associated with specific activities, observer biases, sound field estimation) and support statistical comparisons that could provide further insight into marine mammal responses and mitigation efficacy.

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Noise pollution has become a public health problem in several countries worldwide. Noise maps are tools used in many cities, mainly on the European continent. In other regions, they are used in smaller areas, and few studies focus on hospital areas, considered noise-sensitive zones. In this context, this study aimed to perform sound measurements and noise maps for the day and night periods in the surroundings of three hospitals in Sorocaba, Brazil. Sound measurements occurred around the three hospitals based on NBR 10151 and ISO 1996 standards. The noise maps were drawn up using a calculation model based on ISO 9613-2. Results showed that the sound measurement points around the hospitals had levels above those recommended by the Brazilian standard for sensitive areas (LAeq 50 and 45 dB for day and night, respectively). The acoustic maps showed high sound levels on all faces of the hospital buildings, both during the day and at night. The worst scenario concerned the vicinity of the roads with the highest flow and speed of vehicles. We concluded that three different hospitals in the city have high sound levels in their surroundings above the recommended for sensitive areas.

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Using spline interpolation to select proportions of similar materials, a comparative analysis of the fracturing behavior of sandstone specimens and similar material specimens was conducted through Brazilian splitting tests under multi-path loading. The study revealed that during stepwise loading, both sandstone and similar materials exhibited memory effects and plastic deformation. However, under constant velocity loading, the relationship between force and displacement in sandstone showed linearity after compaction. Employing MATLAB optimization algorithms for the inversion of acoustic emission event information, the distribution of fracture points, and the evolution of cracks were analyzed. The findings indicated that under stepwise loading, both sandstone and similar materials exhibited banded distribution of peak frequencies, with sandstone concentrated in the mid-low-frequency range and similar materials leaning towards the low-frequency range. The amplitude-frequency characteristics of acoustic emission signals suggested that initially, sandstone produced low-frequency, low-amplitude signals. As cracks developed, these signals gradually transformed into high-frequency, high-amplitude signals, ultimately leading to macroscopic failure. The ringing counts and b-values of sandstone displayed an approximate "W" shape distribution, with a subsequent decrease in b-values during final failure. In contrast, the acoustic emission counts were inversely related to b-values. Similar materials exhibited slightly more acoustic emission counts than sandstone, with relatively lower b-values. The crack development process of both sandstone and similar materials was confirmed through these observations. From the perspective of section initiation and local damage, sandstone and similar materials exhibited similar failure characteristics. The proportions of quartz sand: cement: water = 9:1:0.9 in similar materials demonstrated the most similar characteristics to sandstone in terms of mechanical loading, acoustic emission features, and failure morphology. This suggests that these similar materials can be used as substitutes for sandstone in analogous simulation experiments. The study provides theoretical support for understanding rock fracture mechanisms, offers guidance for the selection and proportioning of similar materials, and holds significance for predicting and controlling rock fracture behavior in engineering applications.

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INTRODUCTION: Patients undergoing maxillectomies may present alterations in the stomatognathic functions involved in oral communication. Rehabilitative treatment should favor the rescue of these functions, through surgical flaps, obturator prostheses or both. OBJECTIVES: The present study aims to present the impact of the use of the palatal obturator on the oropharyngeal geometry and on the voice of patients undergoing maxillectomies, after adaptation to trans-surgical palatine obturators (TPO). METHODS: Twelve patients treated at a Cancer Hospital, submitted to maxillectomy and rehabilitated during surgery were evaluated. The oropharyngeal geometry was measured by acoustic pharyngometry and the vocal parameters were evaluated through auditory-perceptual and acoustic analyses. The comparison between the results with and without TPO was analyzed using the Wilcoxon test and the correlation between oropharyngeal measurements and acoustic parameters using Spearman's correlation coefficient, all with a significance level of 5%. RESULTS: There was a decrease in the following oropharyngeal measurements with the use of TPO: length of the pharyngeal cavity and vocal tract, volume of the oral cavity, pharyngeal and vocal tract and area of ​​the oropharyngeal junction. There was no difference in the length of the oral cavity and in the glottic area between situations with and without TPO. In the vocal evaluation, changes in intelligibility and resonance were observed in the situation without TPO and, in only one case, mild hypernasality was detected in the situation with TPO. CONCLUSIONS: It is concluded that the use of TPO brought the oropharyngeal measurements closer to normal values ​​and provided an improvement in speech intelligibility and vocal resonance in maxilectomized individuals.

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AIM: To determine the relationship between working conditions, especially room acoustics, with voice symptoms and voice-related quality of life among Colombian school and college teachers during online classes in times of COVID-19 pandemic. METHOD: Exploratory cross-sectional study. Participants were thirty-two primary, secondary and university Colombian teachers, who were invited to fill in an online survey about working conditions and voice symptoms during online classes in times of COVID-19 pandemic. In the statistical analysis, four dependent variables and eight independent variables were defined. We used Generalized Linear Model with a Gamma distribution and Binary Logistic Regression to determine the association between voice with working conditions. RESULTS: High reverberation time and stress during online classes in times of the COVID-19 pandemic reduced slightly the VRQOL scores. For Factor 3 of the VFI, high reverberation time and months teaching online classes were associated at the multivariate analysis. Stress and years of experience were statistically associated with an increased odds of reporting hoarseness. CONCLUSION: Similar to pre-COVID-19, teachers with online classes during the COVID-19 pandemic are affected by two work-related factors namely high reverberation time and stress. These two factors are increasing their likelihood of reporting hoarseness and having lower voice-related quality of life, which may confirm the relationship between reverberation, stress, and voice also during online classes. This highlights the need of implementing workplace vocal and mental health programs to decrease the occurrence of voice problems among teachers in times of and post-COVID-19 pandemic.

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INTRODUCTION: Childhood and adolescence are essential stages in the development of voice and speech quality; therefore, it is essential to understand the vocal changes that occur during this period. Frequency-based measurement methods like cepstral measurements stand out among the methods described, which are able to identify fo and estimate the periodicity and noise in the acoustic wave without establishing individual cycles of the sound wave. METHODS: Two hundred seventy-one recordings (128 female and 131 male) from children and adolescents aged 5 to 18 years with no vocal complaints were analyzed. Three speech-language pathologists assessed the vocal quality and determined as appropriate for the age. The recordings were divided into six age groups (G1:5-7; G2:8-9; G3:10-11; G4:12; G5:13-15 and G6:16-18 years old). Sustained production of the vowel /a/ were inspected and edited using the PRAAT software. Then, it was extract de Cepstrum Peak Prominence Smoothed (CPPS) using a script in the same software. A Two-way ANOVA was applied to investigate the effect of sex, age and sex*age interaction, followed by Bonferroni's correction for each gender separately. Finally, the Student's t test for independent samples was performed to compare genders within each age group. RESULTS: Male children and adolescents from G5 and G6 had higher CPPS measures than G1, G2 and G3 (P ≤ 0.001). In addition, G6 also had higher values than G4 (P ≤ 0.001). There was no difference between age groups in the female group. In turn, sex differences were reported from 12 years of age onwards, with higher CPPS values found for male participants compared to female participants (P ≤ 0.01). CONCLUSION: Vocal changes that usually occur from childhood to adolescence are reflected in the acoustic CPPS measure in males, resulting in higher values in the 13 to 18 years old. On the other hand, no changes in CPPS values were observed in the age groups of female participants. Males have higher CPPS values than females and that sex differences are reported after 12 years of age.

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Objective: to compare the immediate effects of low-frequency TENS employment on vocal quality in women with behavioral dysphonia before and after vocal exercises. Methodology: 30 women (mean = 31.3 years old), diagnosed with behavioral dysphonia received low-frequency TENS before (TENS + VE Group) and after vocal exercises (VE + TENS Group) with a 1-week washout. They had their sustained vowel/a/and running speech recorded before and after each procedure for auditory-perceptual analysis and acoustic measures. The low-frequency TENS parameters applied were symmetrical biphasic quadratic pulse, 200 µs phase, 10 Hz frequency, intensity on the motor threshold, and the electrodes were positioned on the submandibular and superior fibers of the trapezius muscle region. The vocal exercises: tongue trill, humming, finger kazoo, and water resistance therapy were performed totalizing 20 min. Results: intragroup analysis of sustained vowel/a/showed reduction in both groups of strain parameter and increased the breathiness; only VE + TENS Group increased the instability parameter, decreased fundamental frequency, and increased in SPI values; the running speech analysis showed an increase in the overall degree, roughness, and breathiness parameters. However, in VE + TENS Group, there was a statistically significant decrease in the intensity of the strain and an increase in breathiness. The acoustic measures showed that VE + TENS Group had a higher variation than TENS + VE Group regarding NHR. Conclusion: vocal exercises followed by low-frequency TENS have more immediate positive effects on voice quality than the low-frequency TENS followed by vocal exercises. This is a preliminary immediate effects study, and these effects could be verified through long-term assessments.

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Multifunctional landscapes that support economic activities and conservation of biological diversity (e.g., cattle ranches with native forest) are becoming increasingly important because small remnants of native forest may comprise the only habitat left for some wildlife species. Understanding the co-occurrence between wildlife and disturbance factors, such as poaching activity and domesticated ungulates, is key to successful management of multifunctional landscapes. Tools to measure co-occurrence between wildlife and disturbance factors include camera traps and autonomous acoustic recording units. We paired 52 camera-trap stations with acoustic recorders to investigate the association between 2 measures of disturbance (poaching and cattle) and wild ungulates present in multifunctional landscapes of the Colombian Orinoquía. We used joint species distribution models to investigate species-habitat associations and species-disturbance correlations. One model was fitted using camera-trap data to detect wild ungulates and disturbance factors, and a second model was fitted after replacing camera-trap detections of disturbance factors with their corresponding acoustic detections. The direction, significance, and precision of the effect of covariates depended on the sampling method used for disturbance factors. Acoustic monitoring typically resulted in more precise estimates of the effects of covariates and of species-disturbance correlations. Association patterns between wildlife and disturbance factors were found only when disturbance was detected by acoustic recorders. Camera traps allowed us to detect nonvocalizing species, whereas audio recording devices increased detection of disturbance factors leading to more precise estimates of co-occurrence patterns. The collared peccary (Pecari tajacu), lowland tapir (Tapirus terrestris), and white-tailed deer (Odocoileus virginianus) co-occurred with disturbance factors and are conservation priorities due to the greater risk of poaching or disease transmission from cattle.

Implicaciones de la escala de detección para inferir los patrones de coocurrencia a partir de fototrampas y grabaciones emparejadas Resumen Los paisajes multifuncionales que sostienen actividades económicas y la conservación de la biodiversidad (p. ej., ganadería en bosques nativos) son cada vez más importantes porque los pequeños reductos de bosque nativo podrían comprender el único hábitat disponible para algunas especies de fauna. Es importante entender la coocurrencia entre la fauna y los factores de perturbación, como la actividad furtiva y los ungulados domésticos, para tener un manejo exitoso de los paisajes multifuncionales. Las herramientas que miden esta relación incluyen las fototrampas y las unidades autónomas de grabaciones acústicas. Emparejamos 52 estaciones de fototrampas con grabadoras acústicas para investigar la asociación entre dos medidas de perturbación (actividad furtiva y ganado) y los ungulados silvestres presentes en los paisajes multifuncionales de la Orinoquía colombiana. Usamos modelos conjuntos de distribución de especies para investigar las asociaciones especie­hábitat y las correlaciones especie­perturbación. Ajustamos un modelo con datos de fototrampeo para detectar ungulados silvestres y factores de perturbación; un segundo modelo fue ajustado después de reemplazar las detecciones por fototrampas de los factores de perturbación con las detecciones acústicas correspondientes. La dirección, importancia y precisión del efecto de las covarianzas dependió del método de muestreo usado para los factores de perturbación. El monitoreo acústico casi siempre resultó en estimaciones más precisas de los efectos de las covarianzas y de las correlaciones especie­perturbación. Los patrones de asociación entre la fauna y los factores de perturbación sólo se presentaron cuando las grabadoras acústicas detectaron la perturbación. Las fototrampas nos permitieron detectar especies que no vocalizan, mientras que las grabaciones de audio incrementaron la detección de factores de perturbación, lo que resultó en estimados más precisos de los patrones de coocurrencia. El pecarí de collar (Pecari tajacu), el tapir (Tapirus terrestris) y el venado cola blanca (Odocoileus virginianus) tuvieron coocurrencia con los factores de perturbación y tienen prioridad de conservación debido al mayor riesgo de caza furtiva o transmisión de enfermedades del ganado.