Female Speakers Research Articles

Longitudinal change in the adjective intensifier system of Hexagonal French

Abstract Intensifiers are known for their dynamic nature, due in part to the expressive function they serve. However, while the quantitative patterning of English intensifiers has been studied extensively, the intensifier system of French has yet to be well documented. This study therefore examines intensifier use from a variationist sociolinguistic perspective in the ESLO corpus of spoken Hexagonal French. The quantitative distributions of adjective intensifiers are compared across two corpora collected in 1970 and 2010. Results show a significant decrease in intensification rate over time. Analysis of individual intensifiers show some to have decreased in use over time (e.g. très, tellement), others to have increased (e.g. vraiment, tout), and others to appear only in the later sample (e.g. super, hyper). Longitudinal change is also found in the adjectival function (predicative vs. attributive) and collocational width of intensifiers. Relating to social factors, no significant gender difference is found between female and male speakers’ intensification rate over time. Furthermore, très dominates as the preferred intensifier among older generations, while younger speakers favour more varied intensifiers. Analyzing such changes in the use of intensifiers over the past half century contributes to a better understanding of the structure and development of the French intensifier system.

Linguistic correlates of second language users’ attitudes to Arabic and Chinese varieties of English: a verbal guise study

ABSTRACT Research into language attitudes suggests that L2 users often hold negative attitudes toward their own and others’ L2 accents. However, less is known about specific features that affect these attitudes. Beinhoff’s study explored consonantal variation and its impact on perceptions of L2 speakers, but this study further examines linguistic correlates of L2 users’ attitudes toward Arabic and Chinese varieties of English. Using the verbal guise method, Arabic and Chinese male and female speakers read a paragraph in English with varying L1 influences. Each sample was rated by 30 L2 listeners on a 6-point semantic differential scale assessing status, solidarity, and dynamism. Phonological and fluency analyses of the samples revealed that non-segmental features, such as prosody, play a more significant role in eliciting positive attitudes toward these English varieties than do segmental features. These findings highlight the importance of suprasegmental aspects in shaping listener perceptions of L2 English speech.

Gender Disparity of Orthopaedic Surgery Grand Rounds Speakers

Introduction Women are significantly underrepresented within orthopaedic surgery and academia. Limited opportunities to present at local and national conferences may impact professional advancement for women. The purpose of this study was to determine how often female orthopaedic surgeons presented at orthopaedic grand rounds between 2016-2021, if there was a difference between the types of presentations (technical vs non-technical) given by female and male speakers, and whether the COVID-19 pandemic increased the number of opportunities available for female orthopaedic surgeons to speak at orthopaedic grand rounds with the increase of online platforms. Methods A cross sectional study of 8 ACGME accredited orthopaedic residency programs, who are a part of COERG, was performed. Program directors were asked to describe the demographics of grand rounds speakers and the types of presentations given by those speakers before and after the COVID-19 pandemic from September 2016 to September 2021. Results Between September 2016-February 2020, 472 male (83.7%) and 92 (16.3%) female orthopaedic surgeons presented during grand rounds. There was no significant difference in the gender distribution of speakers from March 2020-September 2021 during which 81 men (79.4%) and 21 women (20.6%) presented (p=0.315). Men were more likely than women to present on technical topics before (p=0.006) and after the COVID-19 pandemic (p=0.023). Conclusion Male orthopaedic surgeons more frequently present at grand rounds in comparison to female orthopaedic surgeons. This was unchanged during the COVID-19 pandemic when online platforms were increasingly utilized. Male speakers were more likely to present on technical topics; whereas female speakers were more likely to present on non-technical topics. Understanding the gender disparity amongst orthopaedic grand rounds speakers is necessary for programs to re-evaluate and revise the methodology by which speakers are selected. This can allow for more balanced topic discussions and can foster female career advancement in academia.

Sociophonetic Study of Dysfluent Behaviour in Native English Speakers

The present project focuses on the study of the influence of two social factors, age and gender, on the frequency and variation of seven different types of dysfluencies (filled pauses, silent pauses, repairs, repetitions, false starts, vowel and consonant lengthening) in the spontaneous speech of native English speakers from England. The first part of the present article provides a general characterization of the relevant types of dysfluencies, together with the main issues concerning the production of speech dysfluencies. The empirical part presents the analyses of the recordings of 32 native English speakers from England. The overall results considering general influence of age and gender show that the only significant difference is between age groups, with older speakers producing more dysfluencies than younger speakers. Gender, on the other hand, does not make the difference significant, except for vowel lengthenings, that were produced significantly more by female speakers than male speakers, and repetitions, which is the only type of dysfluency where the difference is significant and influenced by both age and gender, with older male speakers producing significantly more dysfluencies than any other group.

The Contribution of Halide Edib Adıvar to the Development of the Women’s Movement in Türkiye and Her Influence in the Context of Gender Equality

Halide Edib Adıvar, a prominent literary figure, holds a significant place in Turkish political scenes and Turkish literature during the Republican era. Her personal life, activities she participated in, and particularly her views on women's rights distinguish Halide Edib in a unique position. During the National Struggle, Halide Edib actively engaged in Anatolia and was among the first female speakers to emphasize the need for Turkish women to attain a dignified position in modern societies through her speeches, literary works, and writings. Acting as an educator advocating for active female participation in the education sphere, Halide Edib portrayed modern and educated female models in her works. Through her novels and writings, she made substantial contributions to the Turkish women's movement by presenting strong representations of women and questioning societal gender roles. Halide Edib Adıvar used various media outlets such as columns, articles, and books to promote gender equality. Drawing attention to women's education in her novels and writings, she encouraged awareness on the subject. In accordance with the directive of Mustafa Kemal Atatürk, she co-founded the Anadolu Agency with Yunus Nadi Abalıoğlu in Ankara on April 6, 1920, seventeen days before the inauguration of the Grand National Assembly of Turkey on April 23, 1920. Halide Edib actively engaged in journalism by translating the political content of newspapers published in English at the agency. Halide Edib also played a role in the Women's Defense of Homeland Society, one of Turkey's first women's associations, striving to empower women for greater societal and political involvement. This study employs qualitative research methods to comprehensively examine Halide Edib Adıvar's role in societal change, her contributions to the women's rights movement, and her impact on empowering and raising awareness among women in Turkey and globally.

On The Social Use Of ‘Urban Ammani Arabic’ By Adult Female Speakers In The Amman Metropolitan Area

On The Social Use Of ‘Urban Ammani Arabic’ By Adult Female Speakers In The Amman Metropolitan Area

Linguistic rights, translation, and State-sponsored violence in Mexican prisons

This article examines linguistic violence experienced by incarcerated indigenous-language speaking women in Mexico. Drawing from a survey of incarcerated individuals, we demonstrate that, despite constitutional guarantees for language access, non-Spanish speakers often lack access to translation services. This deprivation is a form of linguistic violence. Furthermore, we find that such linguistic violence correlates with predatory behavior from authorities—specifically physical and sexual violence. This predatory behavior is reported more frequently by female indigenous-language speakers than any other group. We propose two reasons why this might be the case: limited Spanish proficiency traps these women in prolonged legal limbo, increasing their interactions with potentially abusive authorities, and the language barrier fosters isolation, hindering their ability to report abuses. This phenomenon illustrates how linguistic violence can lead to physical violence.

Talking in a language that everyone can understand? Clarity of speeches by the ECB Executive Board

We use data on speeches held by members of the European Central Bank's (ECB) Executive Board to analyze whether the clarity of central bank communication has increased over time. Employing readability measures as proxy variables, we find that the clarity of information provision is trending upward since the inception of the ECB. The increase is gradual rather than being induced by changes in the board composition or major macroeconomic events. We also show that clarity is higher for speeches aimed at general audiences and for speeches by female speakers. Moreover, we find that higher clarity of speeches is associated with more optimistic media sentiment about the ECB and a stronger relationship between speech and media sentiment.

Use of English Gratitude Expressions by Yemeni EFL Female Undergraduates- Female-Female and Female-Male Interactions

The current study aims to explore English expressions of gratitude that are used by Yemeni female speakers in female-female and female-male interactions at Sana'a University, Yemen. The participants of the study consisted of 230 undergraduate students (115 males and 115 females). The data of the study were collected through a Discourse Completion Test (DCT) for eliciting the speech act of gratitude. It included twelve situations that were analyzed by using SPSS descriptive statistics program. The data were analyzed according to Cheng's (2005) taxonomy of gratitude expressions. The results revealed that Yemeni female speakers in F-F and F-M interactions utilized twenty-four English expressions of gratitude with different expressions of politeness markers in interacting with each other in the twelve situations and with difference in their frequencies and percentages. The results obtained from the data analysis also showed that the most frequent preferred strategy by all the participants in all situations is "bald thanking or using the word "thanks"". Furthermore, it can be observed that Yemeni female speakers use both two strategies ("bald thanking or using the word "thanks"" and "thanking and stating the favor") of English expressions of gratitude more than other strategies, especially in F-M interactions more than in F-F interactions. The reason behind this is because Yemeni female speakers tend to express themselves in their daily interactions, especially in F-M interactions because females appreciate any favor or service men offer or do it for them, so when receiving help from others, they have to thank them. Besides, women with their nature are more polite and use more politeness strategies than men and this is related to religious factors and social rules and conventions in Yemeni society. It is recommended that English teachers should make learners aware of using more suitable English expressions of gratitude in various situations. Consequently, learners can select what gratitude strategy that is most appropriate or required in a given situation.

Development and content validation of coordinate response measure (CRM) corpus in Kannada for informational masking measurement

BackgroundAssessing informational masking (IM) involves various methods, broadly categorized as electrophysiological and behavioral approaches. In behavioral methods, researchers often use a range of stimulus types such as tone-in-noise masking, speech masking, music masking, gap detection, modulation masking, and spatial masking. The evaluation of speech perception in noisy conditions often utilizes the coordinate response measure (CRM), a publicly available test developed by Moore (AGARD conference proceedings 311, 1981). The objective of the study is to develop and content validate the Kannada coordinate response measure (CRM) sentences corpus for the information masking measurement.ResultsStage 1: A total of thirty-eight call signs, eight colors, and eight numbers in the Kannada language were compiled and were given to 15 experts to select the appropriate stimuli. Those stimuli that satisfied the criteria of CVI ≥ 0.90 and CVR ≥ .90 were selected, which consisted of eight call signs, seven numbers, and five colors. Stage 2: By incorporating the chosen call signs, numbers, and colors, seven sentence structures were formulated and were subjected to content validation (criteria of CVI ≥ 0.90 and CVR ≥ .90). The sentence structure “(Call sign) iga (Color) bannada (Number) torsu” was finalized.Stage 3: Eight speakers (four males and four females) recorded Kannada sentences of about 3.5 s each, which were evaluated by five audiologists for voice quality, rate, and speech clarity using a 4-point scale. The evaluation identified two male and two female speakers with the best recordings.Stage 4: The final stage involved recording 235 sentences by the selected speakers, which were then assessed by two Kannada-speaking audiologists for face validity on various parameters, ensuring linguistic appropriateness and cultural relevance for inclusion in the final CRM corpus.ConclusionThe resulting corpus, meticulously curated and content-validated, presents significant potential for advancing research and clinical assessment of informational masking within the Kannada-speaking community. Overall, the CRM’s exceptional performance in challenging listening environments, inherent adaptability across languages, versatility for different age and literacy levels, and effectiveness in speech-intelligibility testing with multiple simultaneous talkers due to its use of call signs underscores its value as a superior measurement tool, which can be used in IM measurement in Kannada-speaking population.

Machine Learning Analysis of Radio Data to Uncover Community Perceptions on the Ebola Outbreak in Uganda

Radio is vital for people, especially in rural areas, to share their concerns through interactive talk shows. Understanding public perceptions of pandemics is crucial because they influence people’s attitudes and health-seeking behaviors. This study used machine learning to analyze English and Luganda radio broadcast data to understand public perceptions and perspectives on the Ebola outbreak in Uganda. Our findings revealed three main speaker categories: media personalities, community guests and listeners, and government officials. The government made the most significant effort to educate the public about the Ebola outbreak. The analysis showed that the community was hesitant to use Ebola vaccines, believing that they had not been tested on other populations where the Ebola virus had originated. The community was also concerned about the effects of the lockdown measures imposed during the COVID-19 pandemic. The analysis of the radio broadcast data revealed differences in the timing and content of the conversations between male and female speakers. These experiences can inform population-specific policies for handling ongoing and future pandemics.

The impacts of same and opposite gender alumni speakers on interest in economics

This paper evaluates the impact of a series of male and female alumni speaker interventions in introductory microeconomics courses on student interest in economics. Using student-level transcript data, we estimate the effect of speakers in models which use untreated lectures as control groups, including professor and semester-year fixed effects and student-level covariates. Alumni speakers increase intermediate economics course take-up by 1.7–2.1 percentage points (9–12%). Students are more responsive to same-gender speakers, with male speakers increasing men’s course take-up by 36–38% and female speakers increasing women’s course take-up by 37–40% implying that the effect of alumni speakers is strongly gendered.

Plasticity in older infants' perception of phonetic contrasts: The role of selective attention in context.

Developmental plasticity refers to conditions and circumstances that increase phenotypic variability. In infancy, plasticity expands and contracts depending on domains of functioning, developmental history, and timing. In terms of language processing, infants attend to and discriminate both native and non-native phonetic contrasts, but selectively attune to their native phonemes by the end of the first postnatal year. However, relevant studies have excluded factors regarded as promoters of attention such as infant-directed (ID) speech, synchronous multimodal presentations, and female speakers. Here we investigated whether English-learning 11-month-olds would discriminate a non-native phonetic contrast while manipulating these factors. Results showed significant discrimination of the non-native contrast, regardless of speech register, provided that they were presented by a dynamic female speaker. Interestingly, when a static object or a dynamic male ID speaker replaced the female, no significant discrimination was found. These results show infants to be capable of discriminating non-native phonetic contrasts in an enhanced context at an age when they have been characterized as not being able to do so. Synchronized, multimodal information from female speakers allowed infants to perceive difficult non-native phonemes, highlighting the importance of an ecologically valid context for studying speech perception and language learning in early development.

Bunyi Forman Vokal dalam Bahasa Jawa Ngoko: Kajian Fonetik Akustik

The Javanese language (BJ) is divided into three, namely Ngoko, Krama Madya, and Krama Inggil. BJ consists of 10 vowel sounds: [i, I, e, ɛ, a, ǝ, o, ɔ, U, u]. This study aims to determine the values of BJ vowel sounds based on FORMAN data analysis, comparing the voices of male speakers (PL) and female speakers (PP). Additionally, the study aims to identify the more dominant vowel sounds based on gender. The qualitative method was used to collect data on the vowel sounds of Ngoko Javanese (BJN) by analyzing voice recordings using the Praat application program. The quantitative method was employed to calculate the FORMAN F1, F2, and F3 values and determine the average difference in BJN vowel sounds. Data from the BJ dictionary, consisting of 10 words with vowel sounds at the beginning, were used for analysis. The results showed that in PL, the highest vowel values were: [u] at 3089Hz, [i] at 3918Hz, [ɔ] at 3535Hz, and [ɛ] at 3228Hz. The lowest vowel values were: [ɛ] at 277Hz, [U] at 431Hz, and [i] at 336Hz. In PP, the highest vowel values were: [ɛ] at 3021Hz, [i] at 3200Hz, [I] at 3083Hz, and [o] at 3367Hz. The lowest vowel values were: [e] at 391Hz, [I] at 525Hz, [ɛ] at 385Hz, and [i] at 455Hz. In conclusion, BJN consists of 10 vowel sounds, with the highest vowel sound being [ɔ] and the lowest vowel sound being [i] in PL. The comparison of vowel sounds at the beginning of words in PL and PP in BJN, based on the high and low sounds of the F1, F2, and F3 vowel sounds, indicates that PL is more dominant.

Identifying Pronunciation Errors of the Phoneme Qaf in Al-Qur’an Reading by Non-Native Speakers: A Spectrographic Analysis

The accuracy of pronouncing Hijazi letters is crucial for reading the Qur'an effectively. Incorrect pronunciation not only disrupts the flow of reading but can also change the meaning of words and verses, thus deviating from the intended message. This study aims to identify and analyze the mispronunciation of the [q] phoneme by non-Arabic speakers using spectrography analysis. Spectrography analysis helps visualize the frequency, duration, and intensity of the sound produced when participants pronounce the [q] phoneme. The research utilized Praat Voice Analysis software version 6.3.17 to process voice recordings and identify differences in the pronunciation of the [q] phoneme. The research employed a comparative descriptive qualitative approach with a content analysis design. Data collection involved various techniques, including recording, listening, and transcription. Voice recordings of two 12-year-old participants and an Arabic native speaker were collected to compare the pronunciation of Surah Al-Falaq verses 1-3. The results indicated that common errors in this study included sound changes and the omission of the characteristic [q] phoneme. For instance, students often replaced the [q] phoneme with [k] due to the similarity in the articulation location of these two phonemes. Additionally, participants tended to read too quickly, not allowing sufficient time for accurate pronunciation. The study also revealed a significant difference in the articulation of Hijazi letters between male and female speaker. female speaker demonstrated more consistent pronunciation patterns, while male speaker may require further intervention to address articulation and phonological errors.

Lombard speech detection in case of spatial separation between noise source and talkers of different genders

The spatial selectivity of hearing to speech signals was studied when the target signal and interference were separated by distance between their sources and the listener. In the work, the hypothesis about the improvement of hearing selectivity due to more intensive activation of the high-frequency binaural mechanism due to the shift of the speaker’s voice spectrum occurs in noisy environment towards high frequencies, was tested. The thresholds for detecting the target signal – a two-syllable word uttered by male or female, were evaluated in the two-alternative two-interval forced choice paradigm in 4 series. Series differed by the type of target signal (ordinary or Lombard speech) and the location of target source and noise (multi-talker noise) one. The both sources were located at a distance of 1 and 4 m opposite the subject at the level of his head. The detection threshold was defined as the ratio of signal and noise levels at the listener’s place (S/N). The threshold for detecting the target signal (male and female speaker voices together) was -11 dB S/N for ordinary as well as Lombard speech. It did not depend on which of the sources - the target signal or noise, was closer to the listener. In normal speech, the detection thresholds on average differed for male and female voices, but the difference was not significant. In Lombard speech, these thresholds were significantly different: for a male voice, the threshold at a detection level of 0.67 was -10 dB S/N, and for a female voice – -12.5 dB S/N.

Three-Dimensional Finite Element Modeling of the Singer’s Formant Cluster Optimization by Epilaryngeal Narrowing With and Without Velopharyngeal Opening

This study aimed to find the optimal geometrical configuration of the vocal tract to increase the total acoustic energy output of human voice in the frequency interval 2-3.5 kHz “singer’s formant cluster”, (SFC) for vowels [a:] and [i:] considering epilaryngeal changes and the velopharyngeal opening (VPO). The study applied 3D volume models of the vocal and nasal tract based on computer tomography (CT) images of a female speaker. The epilaryngeal narrowing (EN) increased the total sound pressure level (SPL) and SPL of the SFC by diminishing the frequency difference between acoustic resonances F3 and F4 for [a:] and between F2 and F3 for [i:]. The effect reached its maximum at the low pharynx/epilarynx cross-sectional area ratio 11.4:1 for [a:] and 25:1 for [i:]. The acoustic results obtained with the model optimization are in good agreement with the results of an internationally recognized operatic alto singer. With the EN and the VPO, the vocal tract input reactance was positive over the entire fo singing range (ca. 75-1500 Hz). The VPO increased the strength of the SFC and diminished the SPL of F1 for both vowels, but with EN the SPL decrease was compensated. The effect of EN is not linear and depends on the vowel. Both the EN and the VPO alone and together can support (singing) voice production.

Advanced differential evolution for gender-aware English speech emotion recognition

Speech emotion recognition (SER) technology involves feature extraction and prediction models. However, recognition efficiency tends to decrease because of gender differences and the large number of extracted features. Consequently, this paper introduces a SER system based on gender. First, gender and emotion features are extracted from speech signals to develop gender recognition and emotion classification models. Second, according to gender differences, distinct emotion recognition models are established for male and female speakers. The gender of speakers is determined before executing the corresponding emotion model. Third, the accuracy of these emotion models is enhanced by utilizing an advanced differential evolution algorithm (ADE) to select optimal features. ADE incorporates new difference vectors, mutation operators, and position learning, which effectively balance global and local searches. A new position repairing method is proposed to address gender differences. Finally, experiments on four English datasets demonstrate that ADE is superior to comparison algorithms in recognition accuracy, recall, precision, F1-score, the number of used features and execution time. The findings highlight the significance of gender in refining emotion models, while mel-frequency cepstral coefficients are important factors in gender differences.

Unpleasant words can affect the detection of morphosyntactic errors: An ERP study on individual differences.

In recent years, several ERP studies have investigated whether the early computation of agreement is permeable to the emotional content of words. Some studies have reported interactive effects of grammaticality and emotionality in the left anterior negativity (LAN) component, while others have failed to replicate these results. Furthermore, novel findings suggest that grammatical processing can elicit different neural patterns across individuals. In this study, we aim to investigate whether the interaction between grammaticality and emotionality is restricted to participants with a specific neural profile. Sixty-one female native speakers of Spanish performed an agreement judgment task in noun phrases composed of a determiner, a noun, and an unpleasant or neutral adjective that could agree or disagree in gender with the preceding noun. Our results support the existence of two different brain profiles: negative and positive dominance (individuals showing either larger LAN or larger P600 amplitudes in ungrammatical stimuli than in grammatical ones, respectively). Interestingly, the neural pattern of these two groups diverged at different points along the time course. Thus, the negative dominance group showed grammaticality effects as early as 200 ms, along with parallel and autonomous processing of grammaticality and emotionality at the LAN/N400 time window. Instead, for the positive dominance group an early interaction was found at around 200 ms, evidencing a grammaticality effect that emerged only for unpleasant words. Our findings confirm the role of individual differences in the interplay between grammar and emotion at the neural level and call for the inclusion of this perspective in studies on syntactic processing.

Diversity on the American Academy of Orthopaedic Surgeons National Meeting Podium: Changes Over Two Decades.

There has been an increase in diversity initiatives regarding selecting speakers for the American Academy of Orthopaedic Surgeons (AAOS) annual meeting and courses. The purpose of this study was to determine the percentage of female or underrepresented minority (URM) speakers for instructional course lectures (ICLs) and AAOS courses over the past 2 decades including a surrogate for expertise. For 2002, 2012, and 2022, the academic and demographic information of speakers and the number of publications at the time of their speaking role were obtained and compared by sex and URM status. Owing to the unequal sample sizes between male versus female cohorts and URM versus non-URM cohorts, the Welch t -test was used. The percentage of ICL and AAOS course speakers who were female increased over time (ICL, AAOS courses): 2002 (2.6%, 3.3%), 2012 (3.9%, 6.3%), and 2022 (11.8%, 15.5%) ( P < 0.001, P < 0.001). The percentage of female AAOS fellows in these years was 2.9%, 4.7%, and 7.4%, respectively. For ICLs and AAOS course speakers, female presenters had fewer publications than male counterparts (ICL, AAOS courses): 2002 ( P < 0.001, P = 0.048), 2012 ( P = 0.003, P < 0.001), and 2022 ( P < 0.001, P < 0.001). For ICLs in 2022, URM speakers had a similar number of publications compared with non-URM speakers. In 2022, URMs comprised 6.9% of ICL speakers and 4% of AAOS fellows. For 2022 ICLs, there were no significant differences in academic institution, position, or region when compared by sex or URM status. For AAOS courses, the percentage of URM speakers increased over time: 2002 (1.1%), 2012 (4.5%), and 2022 (8.6%). For AAOS courses, URM presenters had similar publications compared with non-URM presenters in 2002 and 2022 but less in 2012 ( P = 0.027). The percentage of women and URMs presenting ICLs and AAOS courses has increased over the past 2 decades and exceeded the percentage they represent in the AAOS by over 50%. The female cohort has fewer publications, on average, than the male cohort for all years evaluated, indicating no institutional bias against female speakers.