Voice Research Articles

Time for Care: Male and Female Voices Based on Their Caregiving Experiences

Background/Objectives: To understand the lived experiences of the informal caregivers of people with chronic noncommunicable diseases and their interpretations of the significance of that care. The perspectives of men and women interacting with people in a situation of chronicity are examined. Methods: This qualitative, phenomenological, hermeneutic study was based on Van Manen’s comprehensive and interpretative vision. Criterion-oriented non-probability random sampling was used. In-depth interviews were used to collect the information. Twenty informal caregivers participated in the study. Results: The following five themes emerged: transformation of the caregiver’s world; uncertainty of care; tireless guardianship and unwavering devotion; isolation and emotional exhaustion; and imbalance between caring for others and the self. Conclusions: The experience of informal caregivers reveals that both men and women face significant challenges, albeit from gender-differentiated perspectives and experiences. Men and women elaborate different meanings of caregiving, reflecting their gender roles and expectations. Therefore, an inclusive and equitable approach that recognizes and addresses these gender differences is essential in order to improve the support and quality of life for all informal caregivers, respecting and valuing their unique voices and experiences. An inclusive and equitable approach that recognizes gender intersections is required to improve support and the quality of life for informal caregivers.

Identifying and Estimating Frailty Phenotypes by Vocal Biomarkers: Cross-Sectional Study

Background Researchers have developed a variety of indices to assess frailty. Recent research indicates that the human voice reflects frailty status. Frailty phenotypes are seldom discussed in the literature on the aging voice. Objective This study aims to examine potential phenotypes of frail older adults and determine their correlation with vocal biomarkers. Methods Participants aged ≥60 years who visited the geriatric outpatient clinic of a teaching hospital in central Taiwan between 2020 and 2021 were recruited. We identified 4 frailty phenotypes: energy-based frailty, sarcopenia-based frailty, hybrid-based frailty–energy, and hybrid-based frailty–sarcopenia. Participants were asked to pronounce a sustained vowel “/a/” for approximately 1 second. The speech signals were digitized and analyzed. Four voice parameters—the average number of zero crossings (A1), variations in local peaks and valleys (A2), variations in first and second formant frequencies (A3), and spectral energy ratio (A4)—were used for analyzing changes in voice. Logistic regression was used to elucidate the prediction model. Results Among 277 older adults, an increase in A1 values was associated with a lower likelihood of energy-based frailty (odds ratio [OR] 0.81, 95% CI 0.68-0.96), whereas an increase in A2 values resulted in a higher likelihood of sarcopenia-based frailty (OR 1.34, 95% CI 1.18-1.52). Respondents with larger A3 and A4 values had a higher likelihood of hybrid-based frailty–sarcopenia (OR 1.03, 95% CI 1.002-1.06) and hybrid-based frailty–energy (OR 1.43, 95% CI 1.02-2.01), respectively. Conclusions Vocal biomarkers might be potentially useful in estimating frailty phenotypes. Clinicians can use 2 crucial acoustic parameters, namely A1 and A2, to diagnose a frailty phenotype that is associated with insufficient energy or reduced muscle function. The assessment of A3 and A4 involves a complex frailty phenotype.

Anonymization of Voices in Spaces for Civic Dialogue: Measuring Impact on Empathy, Trust, and Feeling Heard

Anonymity is a powerful component of many participatory media platforms that can afford people greater freedom of expression and protection from external coercion and interference. However, it can be difficult to effectively implement on platforms that leverage spoken language due to distinct biomarkers present in the human voice. In this work, we explore the use of voice anonymization methods within the context of a technology-enhanced civic dialogue network based in the United States, whose purpose is to increase feelings of agency and being heard within civic processes. Specifically, we investigate the use of two different speech transformation and synthesis methods for anonymization: voice conversion (VC) and text-to-speech (TTS). Through a series of two studies, we examine the impact that each method has on 1) the empathy and trust that listeners feel towards a person sharing a personal story, and 2) a speaker's own perception of being heard, finding that voice conversion is an especially suitable method for our purposes. Our findings open up interesting potential research directions related to anonymous spoken discourse, as well as additional ways of engaging with voice-based civic technologies.

Morphological Evidence for a Unique Neuromuscular Functional Unit of the Human Vocalis Muscle

Human vocalization is a complex process that is still only partially understood. Previous studies have suggested the possibility of a localized neuromuscular network of the larynx. Here we investigate this structure in human dissection specimens using multiple immunofluorescence and transmission electron microscopy (TEM). In the area of the pars interna of the thyroarytenoid muscle, muscle fibers are present that are clearly differentiated from skeletal or cardiac muscle cells and show an intermediate ultrastructure. In addition, intramuscular neurons are present that are detectable by both electron and fluorescence microscopy and may have a sensory function in a local neuronal network. Also, several types of sensory and motor synapses are detectable and distributed throughout the pars interna of the thyroarytenoid muscle, with multisynaptic muscle fibers being a common feature. These findings suggest the existence of a previously unrecognized type of muscle fiber coupled to an intramuscular neuronal network, the presence of which could explain functional peculiarities at the laryngeal level.

ESTIMATION OF FORMANT INFORMATION USING AUTOCORRELATION FUNCTION OF VOICE SIGNAL

Context. The current scientific problem of extracting biometric characteristics of a user of a voice authentication system, which can significantly increase its reliability, is considered. There has been performed estimation of formant information from the voice signal, which is a part of the user template in the voice authentication system and is widely used in the processing of speech signals in other applications, including in the presence of interfering noise components. The work is distinguished by the investigation of a polyharmonic signal. Objective. The purpose of the work is to develop procedures for generating formant information based on the results of calculating the autocorrelation function of the analyzed fragment of the voice signal and their subsequent spectral analysis. Method. The procedures for generating formant information in the process of digital processing of voice signal are proposed. Initially, the autocorrelation function of the analyzed fragment of the voice signal is calculated. Based on the results of the autocorrelation function estimation, the amplitude-frequency spectrum is calculated, from which the formant information is extracted, for example, by means of threshold processing. When the signal-to-noise ratio of the analyzed voice signal fragment is low, it is advisable to iteratively calculate the autocorrelation function. The latter allows increasing the signal-to-noise ratio and the efficiency of formant information extraction. However, each subsequent iteration of the autocorrelation function calculation is associated with an increase in the required computational resource. The latter is conditioned by the doubling of the amount of processed data at each iteration. Results. The developed procedures for generating formant information were investigated both in the processing of model and experimental voice signals. The model signals had a low signal-to-noise ratio. The proposed procedures allow to determine more precisely the width of the spectrum of extracted formant frequencies, significantly increase the number of extracted formants, including cases at low signal-to-noise ratio. Conclusions. The conducted model experiments have confirmed the performance and reliability of the proposed procedures for extracting formant information both in the processing of model and experimental voice signals. The results of the research allow to recommend their use in practice for solving problems of voice authentication, speaker differentiation, speech and gender recognition, intelligence, counterintelligence, forensics and forensic examination, medicine (diseases of the speech tract and hearing). Prospects for further research may include the creation of procedures for evaluating formant information based on phase data of the processed voice signal.

“Cats in congress or penguins in parliament”? Towards the just representation of more-than-humans in Antarctic environmental governance

ABSTRACT Representation is a core component of Rights of Nature (RoN). While giving a human voice to more-than-humans might be seen as anthropocentric, RoN is one of the best tools available in current legal frameworks and institutions to safeguard the interests of more-than-humans. However, challenges arise when looking at the Antarctic. In particular, the absence of a permanent population, a State, and an Indigenous people makes the designation of an Antarctic representative a delicate matter. More-than-humans are the only permanent residents of the Antarctic while being paradoxically excluded from Antarctic decision-making processes and institutions. This article explores the issue of ‘just representation’ of more-than-humans within the Antarctic Treaty System, based on theories of multispecies justice focusing on recognition and participation. It develops the political, legal, and theoretical frameworks for a just environmental governance in the Antarctic, looking at RoN to support some aspects of the ‘just representation’ of more-than-humans in the Antarctic.

Release from same-talker speech-in-speech masking: Effects of masker intelligibility and other contributing factorsa).

Human speech perception declines in the presence of masking speech, particularly when the masker is intelligible and acoustically similar to the target. A prior investigation demonstrated a substantial reduction in masking when the intelligibility of competing speech was reduced by corrupting voiced segments with noise [Huo, Sun, Fogerty, and Tang (2023), "Quantifying informational masking due to masker intelligibility in same-talker speech-in-speech perception," in Interspeech 2023, pp. 1783-1787]. As this processing also reduced the prominence of voiced segments, it was unclear whether the unmasking was due to reduced linguistic content, acoustic similarity, or both. The current study compared the masking of original competing speech (high intelligibility) to competing speech with time reversal of voiced segments (VS-reversed, low intelligibility) at various target-to-masker ratios. Modeling results demonstrated similar energetic masking between the two maskers. However, intelligibility of the target speech was considerably better with the VS-reversed masker compared to the original masker, likely due to the reduced linguistic content. Further corrupting the masker's voiced segments resulted in additional release from masking. Acoustic analyses showed that the portion of target voiced segments overlapping with masker voiced segments and the similarity between target and masker overlapped voiced segments impacted listeners' speech recognition. Evidence also suggested modulation masking in the spectro-temporal domain interferes with listeners' ability to glimpse the target.

Socialising the Frequency Code: Effects of gender and age on iconic associations of pitch

Burgeoning research has shown the pervasiveness of sound symbolism, a type of iconicity, in language. However, little work looks at how individual experiences and beliefs affect sound symbolic associations. We investigate pitch associations under the Frequency Code, which links high vs low pitch to small vs large body size and female vs male gender (via sexual dimorphism), long claimed to underlie “universal” meanings like submissiveness vs dominance. While such associations appear widespread, the Frequency Code assumes ideological links, e.g., between dominance and masculinity, which differ between individuals and cultures. In Implicit Association Task experiments with English-speaking listeners, we show high pitch is implicitly associated with small size and female gender, and low with large and male, following the Frequency Code. Crucially, though, the strength of these associations varies by social factors. Associations are stronger for male voices and listeners, particularly older men, as ideologies related to the Frequency Code (linking large size, strength, and dominance) tend to be stronger for men. The association of pitch with gender is stronger than with body size, reflecting stronger gender-based stereotypes. This work shows that social experience shapes and reinforces iconic associations, with important implications for how iconic meanings develop and are processed.

Temporal coherence shapes cortical responses to speech mixtures in a ferret cocktail party

Perceptual segregation of complex sounds such as speech and music simultaneously emanating from multiple sources is a remarkable ability that is common in humans and other animals alike. Unlike animal physiological experiments with simplified sounds or human investigations with spatially broad imaging techniques, this study combines insights from animal single-unit recordings with segregation of speech-like sound mixtures. Ferrets are trained to attend to a female voice and detect a target word, both in presence and absence of a concurrent equally salient male voice. Recordings are made in primary and secondary auditory cortical fields, and in frontal cortex. During task performance, representation of the female words becomes enhanced relative to the male in all, but especially in higher cortical regions. Analysis of the temporal and spectral response characteristics during task performance reveals how speech segregation gradually emerges in the auditory cortex. A computational model evaluated on the same voice mixtures replicates and extends these results to different attentional targets (attention to female or male voices). These findings underscore the role of the principle of temporal coherence whereby attention to a target voice binds together all neural responses coherently modulated with the target, thus ultimately forming and extracting a common auditory stream.

A Methodology to Quantify the Effective Vertical Thickness of Prephonatory Vocal Fold Medial Surface

ObjectiveThe shape of the vocal fold medial surface, particularly its vertical thickness, has been shown in computational and physical modeling studies to be highly influential in regulating glottal closure during phonation. However, because of the difficulty to quantify the vertical thickness in real vocal folds, this influence has often been overlooked in clinical contexts. Therefore, the goal of this study is to present a method to calculate an effective vertical thickness of the medial surface that is predictive of the glottal closure pattern during phonation. MethodsAn effective vertical thickness of the medial surface is calculated as a weighted integral of the medial surface contour along the vertical dimension. The weight is one for the part of the medial surface within a fixed threshold distance from the most medial point, and decays exponentially otherwise. The influence of the threshold distance value on the effective thickness value is investigated. Additionally, the sensitivity of the calculated effective thickness to slight misidentification of the vertical glottal midline is also studied. The methodology is validated on the vocal fold medial surface data from a canine hemilarynx at different levels of thyroarytenoid muscle activation. ResultsFor most threshold distances, the thickness follows an expected sigmoid-like trend with respect to the thyroarytenoid muscle activation level. A threshold distance of 0.05 mm appears optimal as it produced thickness changes in a range comparable to previous computational and experimental studies. The methodology is relatively robust to slight misidentification of the vertical glottal midline. ConclusionsA methodology to estimate the effective vocal fold vertical thickness from medial surface contours is proposed. The methodology can be applied in future studies to correlate medial surface shape to relevant parameters characterizing vocal fold vibration as well as clinical evaluation of treatment effectiveness.

Symbolic Bureaucratic Representation and Client Cooperation: Experimental Insights From Four Daily Public Service Scenarios in China

ABSTRACTRepresentative bureaucracy studies have explored the potential impact of symbolic representation on clients' attitudes and behaviors, even in the absence of direct action by bureaucrats. Through four original conjoint experiments conducted with a nationally representative sample of 1600 participants in China, we analyze the symbolic representation effects of five most commonly observable identity signals, including gender, age, accent, party affiliation, and human voice (versus AI chatbot), across two types of bureaucrat‐initiated contacts and two types of client‐initiated contacts. Our findings contribute to the existing literature by demonstrating that identity congruence has heterogeneous symbolic representation effects; clients' expectations about active representation serve as a significant mediating factor influencing their willingness to cooperate with bureaucrats.

Value and appraisal: human resource management practices and voice behaviors

PurposeEmployee voice is considered an important driver of organizational success. Management practices in the form of high-performance work practices (HPWPs) are expected to influence promotive and prohibitive voices. In addition, employee appraisal of HPWPs as a challenge or hindrance stressor is supposed to mediate the relationships. Finally, the self-direction value moderates the indirect effects of HPWPs on voice behaviors through employee appraisal.Design/methodology/approachA quantitative research approach was adopted with data collected from 315 subordinate supervisor dyads from 12 business organizations in Vietnam. This research uses partial least square structural equation modeling (PLS-SEM) to test the hypotheses.FindingsResults indicate that HPWPs are significantly associated with both types of employee voice behaviors. Challenge appraisal partially mediates the impact of HPWPs on promotive voice, while hindrance appraisal acts as a partial mediation in the HPWPs-prohibitive voice linkage. Self-direction value moderates the link between HPWPs and prohibitive voice.Research limitations/implicationsResults show that HPWPs may have both productive and harmful effects on employees. Depending on how the employees appraise HPWPs, they develop different coping strategies by raising their voices. HPWP-implementing organizations should pay attention to the employees’ values in this process.Originality/valueThis study investigates the relationship between HPWPs and employee voice based on the transactional theory of stress and coping. The mediating role of employee appraisal represents a new contribution. Finally, the role of self-direction value in the voice literature has not been widely evaluated in previous research.

AI Voice Cloning Technology under Human-machine Attachment Shared Mechanism Behavior Research

AI voice cloning technology, with its unique anthropomorphic and authenticity characteristics, successfully replicates human voice and endows it with eternal value, thus spawning a new mode of human-machine attachment. Based on the SOR model, this study introduces key variables to reconstruct the voice sharing model and uses structural equation modeling (SEM) to conduct a deep analysis of 302 questionnaire data. The research results show that the anthropomorphism and authenticity of technology, as well as users' attachment emotions, have significant positive effects on sharing behavior, while trust attitude shows a negative effect. In addition, attachment and trust play intermediary roles in sharing behavior. Based on these findings, this paper proposes suggestions for eliminating barriers, building trust, and returning to the user as the main subject to restart the human-machine attachment relationship, providing a new perspective for the research on the mechanism of voice sharing behavior under the background of human-machine attachment, aiming to build a closer and more stable human-machine voice symbiotic relationship.

SiO2-capped ZnO quantum dot based highly sensitive optical fiber humidity sensor with potential applications in human breath monitoring and voice print recognition

This article describes the development and characterization of an optical fiber humidity sensor employing intensity modulation via the evanescent wave (EW) absorption technique. For the development of the sensor, SiO2-capped ZnO quantum dot (QDs) thin film is synthesized over the decladded portion of plastic cladding silica (PCS) fiber via the sol-gel method. A thorough experimental investigation was conducted by varying the thickness of the sensing film to optimize the sensor’s response. The sensing probe with optimized film thickness of 891 nm demonstrates a linear response over 30.5%–92.5%RH with an enhanced sensitivity of 46.2 mV/%RH (0.0138RH−1). Very fast response and recovery times of 2 s and 2.5 s are observed during humidification and dehumidification for the optimized sensing probe. The maximum resolution recorded during the short stability test is ±0.12%RH. Additionally, the proposed sensor demonstrates a very high degree of repeatability, reversibility, and stability. The proposed sensor has also been tested for human breath monitoring and voice print recognition. The result shows the sensor is able to detect minute humidity fluctuations in exhaled air during breathing and speaking.

Intravenous Bolus Injection of Fentanyl Triggers an Immediate Central and Upper Airway Obstructive Apnea via Activating Vagal Sensory Afferents.

Intravenous bolus (IVb) injection of fentanyl induces an immediate apnea, but the characteristics of the apnea and relevant mechanism remain unclear. Here, we tested whether IVb injection of fentanyl induced an immediate central and upper airway obstructive apnea associated with chest wall rigidity via activating vagal C-fibers (VCFs) and vagal afferent opioid receptors (ORs). Cardiorespiratory and electromyography of external and internal intercostal, thyroarytenoid and superior pharyngeal constrictor muscles (EMGEI, EMGII, EMGTA and EMGSPC) responses to IVb injection of fentanyl were recorded in anesthetized and spontaneously breathing rats with or without bilateral peri-vagal capsaicin treatment or intra-vagal microinjection of naloxone. Immunohistochemical approach was employed to define the presence of opioid mu-receptor (MOR) expression in vagal C-neurons and a patch clamp technique utilized to determine the evoked current responses of vagal C-neurons to fentanyl in vitro. Fentanyl induced an immediate apnea and subsequent respiratory depression. The apnea was characterized by cessation of EMGEI activity and augmentation of tonic discharges of EMGII, EMGTA, and EMGSPC, i.e., central expiratory apnea, laryngeal closure and pharyngeal constriction/collapse accompanied with chest wall rigidity. The apneic response was abolished by blockade of VCF signal conduction and largely attenuated by antagonism of vagal afferent ORs. The latter significantly alleviated the initial (within 5 min post injection), but not the later, respiratory depression. Vagal C-neurons expressed MORs and were activated by fentanyl. We conclude that IVb injection of fentanyl causes a VCF- and vagal afferent OR-mediated immediate central apnea, upper airway obstruction and chest wall rigidity.

An elastic piezoelectric nanomembrane with double noise reduction for high-quality bandpass acoustics

Polymer piezoelectrics with high electromechanical energy conversion (HEEC) are very promising for flexible acoustoelectric devices. However, reducing thickness and improving ordered polarization and ferroelectricity while maintaining high mechanical strength pose enormous fabrication challenges for polymer piezoelectric membranes—additionally, noise management in the acoustoelectric conversion remains an open issue. Here, we present a hydro-levitation superspreading approach for fabricating polymer nanomembranes with ordered crystalline phases and sub-nanostructures on the water surface. The elastic piezoelectric nanomembrane (EPN) is only 335 nanometers thick and consists of a conductance-stable piezoelectric layer sandwiched between two elastic damping layers. Such an all-in-one EPN can reduce background noise with low autocorrelation in the environment, suppress spurious noise caused by poor circuit contact, and achieve bandpass filtering of acoustic signals at human voice frequencies. This nanomembrane holds promise in repairing the auditory system of patients with tympanic membrane perforation and in a wide range of other acoustoelectric conversion fields.

Contrastive adaptation effects along a voice-nonvoice continuum.

Adaptation to the environment is a universal property of perception across all sensory modalities. It can enhance the salience of new events in an ongoing background and helps maintain perceptual constancy in the face of variable sensory input. Several contrastive adaptation effects have been identified using sounds within the categories of human voice and musical instruments. The present study investigated whether such contrast effects can occur between voice and nonvoice stimulus categories. A 10-step continuum between "voice" (/a/, /o/, or /u/ vowels) and "instrument" (bassoon, horn, or viola) sounds was generated for each of the nine possible pairs. In each trial, an adaptor, either a voice or instrument, was played four times and was followed by a target from along the appropriate continuum. When trials with voice and instrumental adaptors were grouped into separate blocks, strong contrastive adaptation effects were observed, with the target more likely to be identified as a voice following instrumental adaptors and vice versa (Experiment 1). The effects were not observed for visual image adaptors (Experiment 2). The effects were somewhat larger when the adaptors and the target were presented to the same than to different ears, but significant adaptation was observed in both conditions, suggesting contributions of central mechanisms, following binaural integration (Experiment 3). The effect accumulated when the same type of adaptor was presented consecutively and persisted following the end of the adaptors (Experiment 4). The discovery of voice-nonvoice contrastive pairs opens the possibility of studying perceptual or neuronal voice selectivity while keeping acoustic features constant. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Towards equal neighborhood evolution? A longitudinal study of soundscape and visual evolution and housing value fluctuations in shenzhen

The equitable evolution of neighborhood environments is closely linked to housing economics. However, the lack of quantitative and longitudinal evaluation methods makes it challenging to assess residents' neighborhood perceptions and achieve social inclusiveness goals. Using long-time series street view imagery, we quantified Shenzhen residents' multidimensional neighborhood perceptions before and after micro-renovations, including visual and soundscape dimensions, and revealed the association between perceptual evolution and the housing value. We identified inequitable results during neighborhood renewal: Neighborhoods with high soundscape scores are accompanied by low visual perception scores, and vice versa. The spatial inequality is reflected in the perceptual differentiation prevalent between urban and suburbs. Visual aspects showed a stable but weak relationship with housing value fluctuations, while soundscape aspects had a strong but more dynamic impact. The inequitable spatial evolution is facilitated by changes in residents' perceptions: expectations for positive audio-visual perceptions are increasing, but sensitivity for negative soundscape is decreasing. Meanwhile, residents are increasingly seeking diverse and rich visual neighborhood landscapes and atmospheres filled with human voices. This study provides quantitative support for the equitable evolution of neighborhoods and the economics of neighborhood landscapes. It offers a novel method for measuring multidimensional perceptions that can be applied to settlements worldwide.

Behavioral addictions and psychosis

M.K* is a 27-year-old, single, unemployed male that was driven to the Emergency Department by his foster father, four weeks ago with first episode of psychiatric symptoms of tactile hallucinations, auditory hallucinations of male and female voices making inappropriate sexual comments about him, persecutory delusions and delusions of control for the past five days. M.K is a daily cannabis user of 0.5-1g use for the past 2 years and has 5.5 pack year smoking history. M.K also reports having a pornography and masturbation addiction for 2 years with marked intrusive thoughts of sexual nature the past week. M.K has no medical or psychiatric history. Recent stressor was moving out of foster father’s house 8 days ago. The symptoms led to significant impact at work which he has quit since then. On presentation, M. K showed partial insight into his third person running commentary hallucinations but believed adamantly that he was being watched, followed and controlled. He reported hearing his female neighbour stating that he has sexual interest in animals and later heard his manager making pedophilic allegations on him. M.K was so distressed, he quit work and isolated himself in his room. He reported poor concentration and lack of appetite for the past week. M.K describes his baseline mood to have “always been not the greatest” and denied anhedonia, fatigue, or sleep changes. He denied thoughts of self- harm, harm to others or suicidal ideation. Four weeks following inpatient, referral to HBCT and cannabis abstinence has shown improvement in psychiatric symptoms with absence of hallucinations, however, there has been increased symptoms of anxiety with “panic attacks”. M.K’s biological mother is reported to have history of substance misuse and sister with depressive symptoms. He continues to withdraw from society with increased time spent indoors gaming and shows emotional dependence on foster father.

Enhancing Acoustic Data Mobilization: A User-Friendly Data Platform for the Asian Soundscape Monitoring Network

Passive Acoustic Monitoring (PAM) has emerged as a crucial tool in monitoring efforts to track environmental changes and evaluate conservation measures in response to the biodiversity crisis (Sugai et al. 2018). PAM now offers long-term and continuous insights into biodiversity, using acoustic indices correlating with biodiversity and deep-learning tools to aid in the detection and identification of animal sounds (Sueur et al. 2014, Kahl et al. 2021, Wu et al. 2022). However, managing and mobilizing original recordings remains challenging due to their large size and lack of structure, hindering broader applications of these valuable data. Established in 2014 by Academia Sinica and Taiwan Forestry Research Institute, the Asian Soundscape Monitoring Network has amassed over 20 million minutes of audible and ultrasonic recordings from diverse landscapes, including forests, wetlands, urban parks and farmlands across Malaysia, Thailand, Taiwan and Vietnam. To enhance data mobilization and utilization, we developed a user-friendly data platform enabling browsing, searching, visualization, exploration and retrieval of the original recordings (Fig. 1), as well as derived data such as acoustic indices and species occurrences, and associated weather records (Fig. 2) The platform also allows users to visualize the temporal dynamics of the soundscape and identify acoustic events at monitoring sites by examining long-term spectrograms and time series of acoustic indices (Fig. 3). Detailed information about the monitoring sites and recorder deployment is provided. Each recording is tagged with a Creative Commons license, and a unique Archival Resource Key is assigned to every data retrieval for persistent identification, facilitating data reuse. Additionally, recordings containing human voices are identified and restricted to protect privacy. Our aim with this data platform is to streamline the mobilization of acoustic data, foster diverse applications, and enhance the overall value of the data.