Development of Human Age and Gender Identification System from Teeth, Wrist and Femur Images

2019 ◽  
Author(s):  
Santosh K C ◽  
Pradeep N
Keyword(s):  
Identification System ◽  
Gender Identification ◽  
Age And Gender ◽  
And Gender

Age and Gender Identification in Unbalanced Social Media

2019 ◽  
Author(s):  
Luis-Miguel Lopez-Santamaria ◽  
Juan Carlos Gomez ◽  
Dora-Luz Almanza-Ojeda ◽  
Mario-Alberto Ibarra-Manzano
Keyword(s):  
Social Media ◽  
Gender Identification ◽  
Age And Gender ◽  
And Gender

Audio-based age and gender identification to enhance the recommendation of TV content

2013 ◽  
Vol 59 (3) ◽  
pp. 721-729 ◽  
Author(s):  
Sven Shepstone ◽  
Zheng-Hua Tan ◽  
Soren Jensen
Keyword(s):  
Gender Identification ◽  
Age And Gender ◽  
And Gender

scholarly journals A visual approach for age and gender identification on Twitter

2018 ◽  
Vol 34 (5) ◽  
pp. 3133-3145 ◽  
Author(s):  
Miguel A. Álvarez-Carmona ◽  
Luis Pellegrin ◽  
Manuel Montes-y-Gómez ◽  
Fernando Sánchez-Vega ◽  
Hugo Jair Escalante ◽  
...  
Keyword(s):  
Gender Identification ◽  
Age And Gender ◽  
Visual Approach ◽  
And Gender

Perceptual Evaluation of Speech Naturalness in Speakers of Varying Gender Identities

2020 ◽  
Vol 63 (7) ◽  
pp. 2054-2069
Author(s):  
Brandon Merritt ◽  
Tessa Bent
Keyword(s):  
Spontaneous Speech ◽  
Identification Accuracy ◽  
Rating Task ◽  
Gender Identification ◽  
Identification Task ◽  
Male And Female ◽  
Perceptual Evaluation ◽  
Speech Training ◽  
And Gender ◽  
Speech Naturalness

Purpose The purpose of this study was to investigate how speech naturalness relates to masculinity–femininity and gender identification (accuracy and reaction time) for cisgender male and female speakers as well as transmasculine and transfeminine speakers. Method Stimuli included spontaneous speech samples from 20 speakers who are transgender (10 transmasculine and 10 transfeminine) and 20 speakers who are cisgender (10 male and 10 female). Fifty-two listeners completed three tasks: a two-alternative forced-choice gender identification task, a speech naturalness rating task, and a masculinity/femininity rating task. Results Transfeminine and transmasculine speakers were rated as significantly less natural sounding than cisgender speakers. Speakers rated as less natural took longer to identify and were identified less accurately in the gender identification task; furthermore, they were rated as less prototypically masculine/feminine. Conclusions Perceptual speech naturalness for both transfeminine and transmasculine speakers is strongly associated with gender cues in spontaneous speech. Training to align a speaker's voice with their gender identity may concurrently improve perceptual speech naturalness. Supplemental Material https://doi.org/10.23641/asha.12543158

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