scholarly journals CNN Based Features Extraction for Age Estimation and Gender Classification

Informatica ◽  
2021 ◽  
Vol 45 (5) ◽  
Author(s):  
Mohammed Kamel Benkaddour
Keyword(s):  
Age Estimation ◽  
Features Extraction ◽  
Gender Classification ◽  
And Gender

Real-Time Gait-Based Age Estimation and Gender Classification from a Single Image

2021 ◽  
Author(s):  
Chi Xu ◽  
Yasushi Makihara ◽  
Ruochen Liao ◽  
Hirotaka Niitsuma ◽  
Xiang Li ◽  
...  
Keyword(s):  
Real Time ◽  
Age Estimation ◽  
Gender Classification ◽  
Single Image ◽  
And Gender

scholarly journals Gender and Age Estimation Methods Based on Speech Using Deep Neural Networks

Sensors ◽  
2021 ◽  
Vol 21 (14) ◽  
pp. 4785
Author(s):  
Damian Kwasny ◽  
Daria Hemmerling
Keyword(s):  
Speaker Recognition ◽  
Age Estimation ◽  
Recognition Task ◽  
Absolute Error ◽  
Fine Tuning ◽  
Estimation Methods ◽  
Gender Classification ◽  
Health State ◽  
Estimation System ◽  
And Gender

The speech signal contains a vast spectrum of information about the speaker such as speakers’ gender, age, accent, or health state. In this paper, we explored different approaches to automatic speaker’s gender classification and age estimation system using speech signals. We applied various Deep Neural Network-based embedder architectures such as x-vector and d-vector to age estimation and gender classification tasks. Furthermore, we have applied a transfer learning-based training scheme with pre-training the embedder network for a speaker recognition task using the Vox-Celeb1 dataset and then fine-tuning it for the joint age estimation and gender classification task. The best performing system achieves new state-of-the-art results on the age estimation task using popular TIMIT dataset with a mean absolute error (MAE) of 5.12 years for male and 5.29 years for female speakers and a root-mean square error (RMSE) of 7.24 and 8.12 years for male and female speakers, respectively, and an overall gender recognition accuracy of 99.60%.

Sign in / Sign up

Export Citation Format

Share Document