Age and Gender Recognition Using a Convolutional Neural Network with a Specially Designed Multi-Attention Module through Speech Spectrograms

Age and Gender Recognition Using a Convolutional Neural Network with a Specially Designed Multi-Attention Module through Speech Spectrograms

Speech signals are being used as a primary input source in human–computer interaction (HCI) to develop several applications, such as automatic speech recognition (ASR), speech emotion recognition (SER), gender, and age recognition. Classifying speakers according to their age and gender is a challeng...

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Bibliographic Details
Main Authors: Anvarjon Tursunov, Mustaqeem, Joon Yeon Choeh, Soonil Kwon
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Sensors
Subjects:
human-computer interaction
convolutional neural network
multi-attention module
age and gender recognition
speech signals
Online Access:https://www.mdpi.com/1424-8220/21/17/5892

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https://www.mdpi.com/1424-8220/21/17/5892

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