Vocal Expressions Research Articles

Laughter in everyday life: an event-based experience sampling method study using wrist-worn wearables.

Laughter is a universal, nonverbal vocal expression of broad significance for humans. Interestingly, rather little is known about how often we laugh and how laughter is associated with our personality. In a large, event-based, experience sampling method study (N = 52; k = 9,261 assessments) using wrist-worn wearables and a physical analogue scale, we analyzed belly laughs and fit of laughter events in participants' everyday life for 4 weeks. Additionally, we assessed associations with laughter frequency such as personality, happiness, life satisfaction, gelotophobia (i.e., fear of being laughed at), and cheerfulness. Validating our new measurement approach (i.e., wearables, physical analogue scale), laughter events elicited higher happiness ratings compared to reference assessments, as expected. On average, participants reported 2.5 belly laughs per day and on every fourth day a fit of laughter. As expected, participants who were happier and more satisfied with their life laughed more frequently than unhappier, unsatisfied participants. Women and younger participants laughed significantly more than men and older participants. Regarding personality, laughter frequency was positively associated with openness and conscientiousness. No significant association was found for gelotophobia, and results for cheerfulness and related concepts were mixed. By using state-of-the-art statistical methods (i.e., recurrent event regression) for the event-based, multi-level data on laughter, we could replicate past results on laughing.

Acoustic cues to femininity and masculinity in spontaneous speech.

The perceived level of femininity and masculinity is a prominent property by which a speaker's voice is indexed, and a vocal expression incongruent with the speaker's gender identity can greatly contribute to gender dysphoria. Our understanding of the acoustic cues to the levels of masculinity and femininity perceived by listeners in voices is not well developed, and an increased understanding of them would benefit communication of therapy goals and evaluation in gender-affirming voice training. We developed a voice bank with 132 voices with a range of levels of femininity and masculinity expressed in the voice, as rated by 121 listeners in independent, individually randomized perceptual evaluations. Acoustic models were developed from measures identified as markers of femininity or masculinity in the literature using penalized regression and tenfold cross-validation procedures. The 223 most important acoustic cues explained 89% and 87% of the variance in the perceived level of femininity and masculinity in the evaluation set, respectively. The median fo was confirmed to provide the primary cue, but other acoustic properties must be considered in accurate models of femininity and masculinity perception. The developed models are proposed to afford communication and evaluation of gender-affirming voice training goals and improve voice synthesis efforts.

Vocal Emotional Expressions in Mothers with and without a History of Major Depressive Disorder

Vocal Emotional Expressions in Mothers with and without a History of Major Depressive Disorder

Acoustic analysis of clients' expression of self-compassion, self-criticism, and self-protection within emotion focused therapy video sessions.

When it comes to the non-verbal communication of emotions, it is apparent that the human voice is one of the main ways of expressing emotion and is increasingly important in psychotherapeutic dialog. There is ample research focusing on the vocal expression of emotions. However, to date the analysis of the vocal quality of clients' in-sessional emotional experience remains largely unexplored. Moreover, there is generally a gap within the psychotherapy literature in the understanding of the vocal character of self-compassion, self-criticism, and protective anger. In this study we investigated how clients vocally convey self-compassion, self-protection and self-criticism in Emotion Focused therapy sessions. For this purpose we investigated 12 commercially available Emotion Focused Therapy videos that employed a two chair or empty chair dialog. Praat software was used for the acoustic analysis of the most common features - pitch (known as fundamental frequency or F0) and intensity (voice amplitude, i.e., loudness). Results showed that intensity was significantly higher for self-criticism and self-protection than for self-compassion. Regarding pitch the findings showed no significant differences between the three states. More research analyzing acoustic features in a larger number of cases is required to obtain a deeper understanding of clients' vocal expression of self-compassion, self-protection and self-criticism in Emotion Focused Therapy.

Self-Rated Confidence in Vocal Emotion Recognition Ability: The Role of Gender.

We studied the role of gender in metacognition of voice emotion recognition ability (ERA), reflected by self-rated confidence (SRC). To this end, we guided our study in two approaches: first, by examining the role of gender in voice ERA and SRC independently and second, by looking for gender effects on the ERA association with SRC. We asked 100 participants (50 men, 50 women) to interpret a set of vocal expressions portrayed by 30 actors (16 men, 14 women) as defined by their emotional meaning. Targets were 180 repetitive lexical sentences articulated in congruent emotional voices (anger, sadness, surprise, happiness, fear) and neutral expressions. Trial by trial, the participants were assigned retrospective SRC based on their emotional recognition performance. A binomial generalized linear mixed model (GLMM) estimating ERA accuracy revealed a significant gender effect, with women encoders (speakers) yielding higher accuracy levels than men. There was no significant effect of the decoder's (listener's) gender. A second GLMM estimating SRC found a significant effect of encoder and decoder genders, with women outperforming men. Gamma correlations were significantly greater than zero for women and men decoders. In spite of varying interpretations of gender in each independent rating (ERA and SRC), our results suggest that both men and women decoders were accurate in their metacognition regarding voice emotion recognition. Further research is needed to study how individuals of both genders use metacognitive knowledge in their emotional recognition and whether and how such knowledge contributes to effective social communication.

Improving Speech Recognition with Convolutional Neural Networks

This project explores advanced techniques in speech recognition, focusing on emotion identification using Convolutional Neural Networks for improved accuracy and real-time processing efficiency. Emotion recognition from speech signals plays a crucial role in various applications, including human-computer interaction, customer service, mental health monitoring, and entertainment. This project proposes an innovative approach to emotion recognition using Convolutional Neural Networks (CNNs) applied to speech data. By leveraging advanced deep learning techniques, the proposed system aims to accurately identify and classify emotions conveyed through vocal expressions. The project begins with a comprehensive review of existing literature on emotion recognition and speech processing, identifying key challenges and opportunities in the field. Building upon prior research, the project introduces a novel CNN architecture optimized for emotion recognition tasks. This architecture is designed to extract relevant features from speech signals and capture subtle nuances indicative of different emotional states. One of the distinguishing features of the proposed approach is its multi-modal integration, which combines information from both audio and visual modalities to enhance emotion recognition accuracy. In addition to analysing speech signals, the system incorporates visual cues such as facial expressions and gestures, providing a more comprehensive understanding of the speaker's emotional state. Real-time processing efficiency is prioritized in the design of the system, ensuring prompt and responsive emotion recognition in interactive applications. Optimization techniques such as model quantization and lightweight architecture design are employed to minimize computational overhead while maintaining high accuracy. To address the variability and subjectivity of emotional expression, the system incorporates user-specific adaptation mechanisms. Through continuous learning and feedback integration, the system dynamically adapts to individual speakers' speech patterns and emotional characteristics, enhancing its ability to accurately recognize emotions in diverse contexts. The project also explores ensemble learning strategies to improve robustness and generalization performance. By combining predictions from multiple CNN models trained on diverse datasets, the system achieves greater resilience to variations in emotional expression and environmental factors. Ethical considerations, including privacy protection and responsible data handling, are integral aspects of the project's design and implementation. Measures are implemented to ensure the ethical collection, storage, and usage of speech data, safeguarding user privacy and maintaining trust in the system. Overall, the proposed system represents a significant advancement in emotion recognition technology, offering a sophisticated and versatile solution for accurately identifying emotions from speech signals. By leveraging deep learning techniques, multi-modal integration, real-time processing optimization, user-specific adaptation, and ensemble learning, the system demonstrates promising potential for various practical applications requiring robust and context-aware emotion recognition capabilities. Keywords: Speech Recognition, Emotion Identification, Convolutional Neural Networks (CNNs), Real-time Processing, Multi-modal Integration, User-specific Adaptation, Ensemble Learning, Deep Learning, Emotional Expression, Ethical Data Handling

Mahalia Jacksonin musiikin ja hänen gospellaulutyylinsä saapuminen Suomeen 1950–1960 luvuilla

Mahalia Jackson (1911-1972), “The World’s Greatest Gospel Singer”, broke path for the worldwide popularity of African American gospel music. Her European concert tours never reached Finland, but since the 1950s, Finnish audiences have been able to listen to her music via recordings, radio, film and other media. This article explores the ways in which Jackson’s music came to Finland in the 1950s and 1960s. Furthermore, the article shows how the early marketing of her records and music critics’ excited reception of her gospel vocal expression sought to shape local audiences’ listening experiences and appreciation for the artistic merit of her music. This article is based on a study of various sources including advertisements, music reviews, correspondence and other archival materials, recordings, Jackson’s performance at the 1958 Newport Jazz Festival and the film Jazz on a Summer’s Day (1959). This article shows that when Mahalia Jackson’s music came to Finland, her gospel vocal expression was recognized for its powerful spirituality and emotional impact on listeners. Yet the ways in which her music was presented to Finnish audiences was often mystifying, decontextualized and guided by the interests of music industry actors. This limited the ability of local listeners to understand the cultural and historical meanings of her gospel vocal expression. At the same time, however, the enthusiasm and admiration demonstrated by music critics paved the way for the enduring influence of Mahalia Jackson’s music in Finland.

From emotional signals to symbols.

The quest for the origins of language is a diverse enterprise, where research from a variety of disciplines brings area-specific ideas and area-specific terminology to bear. This variety often results in misunderstandings and misconceptions about communication in various species. In the present paper, we argue for focus on emotional systems as the primary motivators for social signals in animals in general. This focus can help resolve discrepancies of interpretation among different areas of inquiry and can illuminate distinctions among different social signals as well as their phylogenetic origins in animals and especially in humans. We advocate, following Jaak Panksepp, a view wherein the Seeking System, the endogenous tendency to search and explore, is the most fundamental emotional motivation. The Seeking System forms the basis for flexible, voluntary, and exploratory control of motor systems and makes much of learning possible. The relative lack of vocal learning and expression in nonhuman primates contrasted with extensive vocal learning and expression in humans began, we propose, with the evolution in ancient hominins of a necessary foundation for the many subsequent capabilities required for language. That foundation was, according to the reasoning, naturally selected in the form of neurological connections between the Seeking System and mechanisms of glottal/phonatory control. The new connections allowed ancient hominins to develop flexible, endogenous vocal fitness signals produced at very high rates and including large numbers of discrete syllables, recombinable to form syllable combinations with many prosodic variations. The increasing sociality of hominins supported evolution of massive expansion in the utilization of these flexible vocal forms to allow development of words and sentences.

Vocal expression of emotions discriminates dementia with Lewy bodies from Alzheimer's disease.

DLB showed distinctive reduction in vocal expression of emotions.Cognitive impairment was associated with reduced vocal emotional expression in DLB.Insular atrophy was associated with reduced vocal emotional expression in DLB.Emotional expression measures successfully differentiated DLB from AD or controls.

Evidence-Informed Approach to De-Prescribing of Atypical Antipsychotics (AAP) in the Management of Behavioral Expressions (BE) in Advanced Neurocognitive Disorders (NCD): Results of a Retrospective Study

IntroductionDiagnosis of behaviors in advanced neurocognitive disorders (aNCD) is one of exclusion, and the framework has been laid out in DSM-V. However, clinical assessments in aNCD become increasingly unreliable, and commonly used psychometric tools for clinical assessments lack reliability and validity, thereby making outcomes unreliable. Consequently, the syndromic and symptom management approaches for behaviors in aNCD behaviors have yielded poor results. To address this, the focus has shifted towards understanding the ‘meaning’ of behaviors in aNCD, recognizing them as a ‘mode of communication’. To date, there are no existing frameworks to ascribe ‘meaning’ to behaviors in aNCD.ObjectivesLuBAIR™ paradigm is the first step in offering such a framework for understanding the ‘purpose’ and ‘meaning’ of behaviors in NCD. The ‘meaning’ ascribed to each behavioral category was used to guide the use of atypical antipsychotics in their management. De-prescribing was attempted on patients who qualified to enter this retrospective study. De-prescribing was defined as successful if individuals were completely withdrawn from AAP and remained off them for 60 days without the re-emergence of behaviors.MethodsThe data collected on the second occasion, in the successful and failed de-prescribed groups, were compared in this retrospective study. MANOVA, Chi-Square paired t-test statistical analyses were used to detect the differences in the behavioral categories between the two cohorts. Cohen d was used to measure effect size.ResultsPatients who did not have Mis-Identification and Goal-Directed Expressions were more likely to successfully de-prescribe: X2 (1, N = 40) = 29.119 p < 0.0001 and X2 (1, N = 40) = 32.374, p < 0.0001, respectively. Alternatively, the same behavioral categories were more likely present in patients who failed de-prescribing: MANOVA and paired t-test (p < 0.0001). Atypical antipsychotics, in their role as an antipsychotic and mood stabilizer, may be used to manage Mis-Identification and Goal-Directed Expressions, respectively.ConclusionsLuBAIR paradigm has the potential to guide the development of specific behavioral care plans and the use of AAP in managing individual behavioral categories. AAP use can be justified for managing Misidentification and Goal-Directed Expressions. Vocal expressions may warrant the use of AAP, pending further study. The LuBAIR paradigm offers guidance for de-prescribing AAP for all other behavioral categories in the LuBAIR Inventory. This study is also a preliminary step in validating the psychological theories used to support the individual categories. This workshop will educate the participants on the LuBAIR paradigm and its application in developing person-centered interventions for behaviors in a NCD.Disclosure of InterestNone Declared

A Comparison of Countertenor Singing at Various Professional Levels Using Acoustic, Electroglottographic, and Videofluoroscopic Methods

IntroductionThe vocal characteristics of countertenors (CTTs) are poorly understood due to a lack of studies in this field. This study aims to explore differences among CTTs at various professional levels, examining both disparities and congruences in singing styles to better understand the countertenor voice. Materials and MethodsFour CTTs (1 student, 1 amateur and 2 professionals) sang "La giustizia ha già sull'arco" from Handel's Giulio Cesare, with concurrent videofluoroscopic, EGG, and acoustic data collection. Auditory-perceptual analysis was employed to rate professional level. Acoustic analysis included LH1-LH2, formant cluster prominence, and vibrato analysis. EGG data was analysed using FonaDyn software, while anatomical modifications were quantified using videofluoroscopic images. ResultsCTTs exhibited CQ values surpassing typical levels for inexperienced falsettos. Their vibrato characteristics aligned with expectations for classical singing, whereas the presence of the singer's formant was not observed. Variations in supraglottic adjustments among CTTs underscored the diversity of techniques employed by CTT singers. ConclusionsCTTs exhibited vocal techniques that highlighted the influence of individual preferences, professional experience, and stylistic choices in shaping their singing characteristics. The data revealed discernible differences between professional and amateur CTTs, providing insights into the impact of varying levels of experience on vocal expression.

Breathing Techniques in Bel Canto Singing and Vocal Expression

Breathing Techniques in Bel Canto Singing and Vocal Expression

Multimodal Mental Health Digital Biomarker Analysis From Remote Interviews Using Facial, Vocal, Linguistic, and Cardiovascular Patterns.

Psychiatric evaluation suffers from subjectivity and bias, and is hard to scale due to intensive professional training requirements. In this work, we investigated whether behavioral and physiological signals, extracted from tele-video interviews, differ in individuals with psychiatric disorders. Temporal variations in facial expression, vocal expression, linguistic expression, and cardiovascular modulation were extracted from simultaneously recorded audio and video of remote interviews. Averages, standard deviations, and Markovian process-derived statistics of these features were computed from 73 subjects. Four binary classification tasks were defined: detecting 1) any clinically-diagnosed psychiatric disorder, 2) major depressive disorder, 3) self-rated depression, and 4) self-rated anxiety. Each modality was evaluated individually and in combination. Statistically significant feature differences were found between psychiatric and control subjects. Correlations were found between features and self-rated depression and anxiety scores. Heart rate dynamics provided the best unimodal performance with areas under the receiver-operator curve (AUROCs) of 0.68-0.75 (depending on the classification task). Combining multiple modalities provided AUROCs of 0.72-0.82. Multimodal features extracted from remote interviews revealed informative characteristics of clinically diagnosed and self-rated mental health status. The proposed multimodal approach has the potential to facilitate scalable, remote, and low-cost assessment for low-burden automated mental health services.

Principal dimensions of laryngeal vocal control in a computational model of voice production

Voice production is constrained by laryngeal physiology and physics. Such constraints may present themselves as principal dimensions that are shared among speakers in how they produce and perceive voice. In this study, we attempt to identify such principal dimensions in voice outcome measures and the underlying laryngeal control mechanisms in a three-dimensional computational model of voice production. A large-scale voice simulation was performed with parametric variations in vocal fold geometry, stiffness, glottal gap, and subglottal pressure. Principal component analysis was applied to data combining both the laryngeal control parameters and acoustic and aerodynamic voice outcome measures. The results showed two dominant dimensions of vocal control. The first dimension describes interaction between respiration and vocal fold adduction in a way that increases glottal flow amplitude and vocal intensity at the cost of decreasing high-frequency harmonic production. The second dimension mainly describes control of medial surface thickness and glottal closure, which allows simultaneous increase in vocal intensity and high-frequency harmonic production but also increases risk of vocal fold injury. A third dimension with a reduced weight describes control of the fundamental frequency. The importance of these principal control dimensions to vocal expression of emotion and vocal health is discussed.

Cultural variability in pain perception: A review of cross-cultural studies

Pain perception is a complex phenomenon influenced by biological, psychological, and socio-cultural factors. This review presents a review of cross-cultural studies investigating the cultural variability in pain perception. Understanding how different cultures experience and express pain is crucial for providing effective healthcare interventions and improving patient outcomes. Cross-cultural research reveals significant variations in pain perception across different cultural groups. Cultural beliefs, values, and practices shape individuals' interpretation and expression of pain. Studies have shown that cultural norms dictate whether individuals express pain openly or suppress it, impacting their willingness to seek medical help and their response to pain management strategies. Furthermore, cultural differences in pain expression extend to non-verbal cues and pain-related behaviors. For instance, some cultures may perceive stoicism as a virtue, leading individuals to underreport their pain levels, while others may encourage vocal expressions of pain. These cultural nuances influence healthcare professionals' interpretation of patients' pain experiences and may lead to disparities in pain assessment and treatment. Moreover, cultural factors interact with biological mechanisms to modulate pain perception. Genetic predispositions and physiological differences contribute to variations in pain sensitivity among different ethnic groups. However, cultural factors such as coping mechanisms, social support networks, and cultural rituals also play a significant role in shaping individuals' pain experiences. The impact of culture on pain perception extends beyond individual differences to influence healthcare systems and policies. Cultural competency training for healthcare providers is essential to address disparities in pain management and ensure culturally sensitive care. Additionally, integrating cultural factors into pain assessment tools and treatment protocols can improve the accuracy of pain assessment and enhance patient care outcomes. Cultural variability significantly influences pain perception, expression, and management. Cross-cultural studies provide valuable insights into the complex interplay between culture, biology, and socio-cultural factors in shaping individuals' experiences of pain. Recognizing and addressing cultural differences in pain perception is essential for delivering equitable and effective healthcare services worldwide.

Vision plays a calibrating role in discriminating threat-related vocal emotions.

The ability to reliably discriminate vocal expressions of emotion is crucial to engage in successful social interactions. This process is arguably more crucial for blind individuals, since they cannot extract social information from faces and bodies, and therefore chiefly rely on voices to infer the emotional state of their interlocutors. Blind have demonstrated superior abilities in several aspects of auditory perception, but research on their ability to discriminate vocal features is still scarce and has provided unclear results. Here, we used a gating psychophysical paradigm to test whether early blind people would differ from individually matched sighted controls at the recognition of emotional expressions. Surprisingly, blind people showed lower performance than controls in discriminating specific vocal emotions. We presented segments of nonlinguistic emotional vocalizations of increasing duration (100-400 ms), portraying five basic emotions (fear, happy, sad, disgust, and angry), and we asked our participants for an explicit emotion categorization task. We then calculated sensitivity indices and confusion patterns of their performance. We observed better performance of the sighted group in the discrimination of angry and fearful expression, with no between-group differences for other emotions. This result supports the view that vision plays a calibrating role for specific threat-related emotions specifically. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Label superiority effect on emotional voices in young children

ABSTRACT Emotion labels can be helpful for creating emotion categories. Russell and Widen (2002) demonstrated the label superiority effect; that is, emotion labels produce a more precise categorization of emotional faces than the corresponding emotional faces. The current study aimed to test the label superiority effect on emotional voices and examined whether emotion labels produce a more precise categorization of emotional voices than the corresponding emotional voices. Four- to six-year-olds were shown emotion categories, represented by a box, and emotion labels (e.g., ‘happy’ label) or corresponding unlabelled vocal expressions were used to specify the target emotions. The children had to decide which of a group of test voices should go into the box and which should be left out. We presented happy and angry voices in Experiment 1 and angry and fearful voices in Experiment 2. The results in Experiment 2, but not in Experiment 1, showed that children were more likely to correctly choose the target emotion using the emotion label than the emotional voices, partially confirming the label superiority effect on emotional voices.

To trust or not to trust? Face and voice modulation of virtual avatars

Introduction: This study explores the graduated perception of apparent social traits in virtual characters by experimental manipulation of perceived affiliation with the aim to validate an existing predictive model in animated whole-body avatars.Methods: We created a set of 210 animated virtual characters, for which facial features were generated according to a predictive statistical model originally developed for 2D faces. In a first online study, participants (N = 34) rated mute video clips of the characters on the dimensions of trustworthiness, valence, and arousal. In a second study (N = 49), vocal expressions were added to the avatars, with voice recordings manipulated on the dimension of trustworthiness by their speakers.Results: In study one, as predicted, we found a significant positive linear (p < 0.001) as well as quadratic (p < 0.001) trend in trustworthiness ratings. We found a significant negative correlation between mean trustworthiness and arousal (τ = −.37, p < 0.001), and a positive correlation with valence (τ = 0.88, p < 0.001). In study two, wefound a significant linear (p < 0.001), quadratic (p < 0.001), cubic (p < 0.001), quartic (p < 0.001) and quintic (p = 0.001) trend in trustworthiness ratings. Similarly, to study one, we found a significant negative correlation between mean trustworthiness and arousal (τ = −0.42, p < 0.001) and a positive correlation with valence (τ = 0.76, p < 0.001).Discussion: We successfully showed that a multisensory graduation of apparent social traits, originally developed for 2D stimuli, can be applied to virtually animated characters, to create a battery of animated virtual humanoid male characters. These virtual avatars have a higher ecological validity in comparison to their 2D counterparts and allow for a targeted experimental manipulation of perceived trustworthiness. The stimuli could be used for social cognition research in neurotypical and psychiatric populations.

Monozygotic twin sisters differ in voice quality: Acoustic analysis of the diphthong [‘oj] produced by Brazilian native speakers

Identical twins challenge individual voice recognition applied in communication, criminal investigation, and health technologies. The similarities between siblings are due to the genetic heritage that produced either their vocal tract or the psychological processes acting since birth. To contribute to a precise individual identification by voice, we tested the hypothesis that even MZ siblings would differ in the spectral distribution of formants and sound quality. We recorded 86 same-sex twin pairs (71 MZ, 15 DZ 30 ± 12 years old) saying the Portuguese verse of “Hi, my name is (Pedro or Ana).” We trimmed the diphthong Ój (“Hi”) and measured f0, F1-F4 formants, jitter, shimmer, and Harmonic-to-noise ratio (HNR). As the male sampling was small, we compared only female twins using the Wilcoxon-matched test, the intrapair Correlation Coefficient (ICC), and GLMM models. On average, [Ój] lasted 0.24 ± 0.07 s, and f0 ranged from 469 to 510 kHz according to sex. We found no differences between the MZ or DZ sisters in any acoustic parameter, besides F1 for MZ ones. Also, MZ sisters were more alike (F1, jitter, HNR, weak; F3, F4 moderate) than DZ (only F1 high ICC). The interaction zygosity × age affected intrapair similarity, the older the sisters, the greater their differences. Short voice segments, like the diphthong [Ój], may not be good for differentiating identical twins but provide insights to discussion; F2, F4, and shimmer should be investigated in future studies considering males, younger participants, and other vocal expressions.

The role of the age and gender, and the complexity of the syntactic unit in the perception of affective emotions in voice.

The study aimed to identify (1) whether the age and gender of listeners and the length of vocal stimuli affect emotion discrimination accuracy in voice; and (2) whether the determined level of expression of perceived affective emotions is age and gender-dependent. Thirty-two age-matched listeners listened to 270 semantically neutral voice samples produced in neutral, happy, and angry intonation by ten professional actors. The participants were required to categorize the auditory stimulus based on three options and judge the intensity of emotional expression in the sample using a customized tablet web interface. The discrimination accuracy of happy and angry emotions decreased with age, while accuracy in discriminating neutral emotions increased with age. Females rated the intensity level of perceived affective emotions higher than males across all linguistic units. These were: for angry emotions in words (z = -3.599, p < .001), phrases (z = -3.218, p = .001), and texts (z = -2.272, p = .023), for happy emotions in words (z = -5.799, p < .001), phrases (z = -4.706, p < .001), and texts (z = -2.699, p = .007). Accuracy in perceiving vocal expressions of emotions varies according to age and gender. Young adults are better at distinguishing happy and angry emotions than middle-aged adults, while middle-aged adults tend to categorize perceived affective emotions as neutral. Gender also plays a role, with females rating expressions of affective emotions in voices higher than males. Additionally, the length of voice stimuli impacts emotion discrimination accuracy.