Study of Individual Feature Extraction from Range Data of Human Nose

2003 ◽  
Vol 15 (4) ◽  
pp. 451-457
Author(s):  
Akio Nozawa ◽  
◽  
Hideto Ide

We extracted individual and gender features from range data on the human nose measured by a three-dimensional digitizer. We propose extracting individual and gender features from range data measured for the nose based on a solid model, which gives feature vectors for volume, length between vertexes, and angles around vertex. We determined elements of feature vectors by statistical analysis and authentication tests. We achieved an 83.67% individual identification rate and a 98.01% gender identification rate, verifying the effectiveness of our proposed method.

2020 ◽  
Vol 63 (7) ◽  
pp. 2054-2069
Author(s):  
Brandon Merritt ◽  
Tessa Bent

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


2001 ◽  
Vol 12 (5) ◽  
pp. 479-484 ◽  
Author(s):  
Tetsuji Uemura ◽  
Takashi Hayashi ◽  
Yoshihiko Furukawa ◽  
Nobuyuki Mitsukawa ◽  
Atsushige Yoshikawa ◽  
...  

2011 ◽  
Vol 267 ◽  
pp. 217-220 ◽  
Author(s):  
Jiang Tian Shi ◽  
De Xin Sun ◽  
Hong Zhuang Zhang

Mechanical structure of three degree of freedoms SCARA robot adopts horizontal joints, and opening PMAC multitude axis motion controller based PC is looked as kernel of control system, adopts the open hardware and software structure, we can conveniently enlarge its functions according to needs, so it has very good expansibility. Its three-dimensional solid model and virtual assemble is carried out using CATIA application, so that we can estimate the status of interference. Through validation, we can prove the feasibility of the robot.


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