Is speakers' gender discernible in transcribed speech?

Ferber, Reginald

doi:10.1007/bf01544789

Cited by 5 publications

(3 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This notion is also related with some research evidence indicating sex differences in preference of the conversation topic. Ferber (1995) noted that on most occasions, men generally prefer to discuss about technical issues compared to women. Most studies fail to clarify the exact reasons why these differences emerge, referring to the interaction of biological differences and socio-cultural effects during development (Fivush et al, 2000;Wodak, 2015).…”

Section: Speech Variablesmentioning

confidence: 99%

Investigating Gray and White Matter Structural Substrates of Sex Differences in the Narrative Abilities of Healthy Adults

et al. 2020

View full text Add to dashboard Cite

Inter-Sex Brain and Language Differences verb frequency was significantly higher for women, but no differences were identified for MLU. Regarding cortical measures, males demonstrated increased volume, surface area and cortical thickness in several bilateral regions, while no voxel-wise or tractographybased between-group differences in white matter metrics were observed. Regarding the relationship between sex and speech variables, hierarchical regression analyses showed that the superior/middle frontal cluster in surface area may serve as a significant predictor of speech rate variance, but only in females. We discuss several possible interpretations of how sex-related speech abilities could be represented differently in men and women in gray matter structures within the broad language network.

show abstract

Section: Speech Variablesmentioning

confidence: 99%

Investigating Gray and White Matter Structural Substrates of Sex Differences in the Narrative Abilities of Healthy Adults

et al. 2020

View full text Add to dashboard Cite

show abstract

“…Currently, there is only a weak support in favour of gender differences in language production. Ferber (1995) studied how easy it is to identify the gender of the speaker by reading transcribed speech. It was found that on most occasions it can be guessed correctly, but such guesses are heavily dependent on the context, for example men are generally supposed to be talking more about technical issues than women.…”

mentioning

confidence: 99%

A pilot study on gender differences in conversational speech on lexical in richness measures

Singh

2001

Literary and Linguistic Computing

View full text Add to dashboard Cite

Recent research on gender differences in language has mostly addressed cognitive differences. These differences have been observed on different cognitive verbal and nonverbal tasks and conclusions on the variability in language production and comprehension have been drawn from their results. In this paper, a different approach is presented. This pilot study examines lexical richness measures in conversational speech across a total of thirty subjects. All subjects were recorded and transcribed in a conversational setting. Their transcribed speech was analyzed using a set of lexical richness measures based on word-frequencies. On the basis of these measurements, statistical discriminant analysis is able to classify the two groups with 90% (74% with leave-one-out cross-validation) correct prediction rate at a statistically significant level (p = .03). The results are discussed in detail including correlation and principal components analysis. The paper concludes that there are interesting differences across the two groups on the measures studied and further research in this area is needed. 1. Gender differences Research on gender differences related to language has mainly focused on cognitive functions. For example, recent papers have studied a variety of differences as for young school children (

show abstract

“…Other studies such as Ferber (1995) showed that while reading a transcribed text, speaker's gender could be easily identified in many cases because gender is context dependent. For instance, men are generally supposed to talk about technical issues more than women do.…”

Section: Speech Content Analysis Of Male and Female L2 Teachers In Irmentioning

confidence: 99%

Speech content analysis of male and female L2 teachers in Iranian EFL context

Attaran¹,

Moghaddam²

2012

IJRSE

View full text Add to dashboard Cite

This study aimed at investigating the speech content of male and female teachers in the context of Iranian EFL classes. Previous studies on speech content are mainly conducted on European cultures and there is a niche considering investigations of gender differences in Iranian EFL context with regard to speech content. To this end, 74 EFL classes were observed to figure out the quality of speech content in different genders among teachers. After observing the classes and recording teachers' voices, their speech was transcribed. The content of the transcribed texts was counted based on the Linguistic Inquiry and Word Count (LIWC) principles. The data were analyzed according to Newman, Groom, Handelman, and Pennebaker' (2008) word-count model. Four categories were investigated to find out the gender differences among male and female teachers. The categories are linguistic dimensions, prepositions, psychological processes, and pronouns. The results revealed significant differences among male and female teachers considering various categories of speech content. The Chi-square formula was utilized to investigate the frequencies.

show abstract

Is speakers' gender discernible in transcribed speech?

Cited by 5 publications

References 20 publications

Investigating Gray and White Matter Structural Substrates of Sex Differences in the Narrative Abilities of Healthy Adults

Investigating Gray and White Matter Structural Substrates of Sex Differences in the Narrative Abilities of Healthy Adults

A pilot study on gender differences in conversational speech on lexical in richness measures

Speech content analysis of male and female L2 teachers in Iranian EFL context

Contact Info

Product

Resources

About