Age and gender classification from speech and face images by jointly fine-tuned deep neural networks
作者：
Highlights：
• A new cost function is developed for the concurrent and jointly fine-tuned DNNs.
• A new DNN architectures are proposed.
• Two DNNs are trained concurrently and jointly fine-tuned.
• Speaker age and gender classification is studied.
• Age estimation from unconstrained face images is studied.
摘要
•A new cost function is developed for the concurrent and jointly fine-tuned DNNs.•A new DNN architectures are proposed.•Two DNNs are trained concurrently and jointly fine-tuned.•Speaker age and gender classification is studied.•Age estimation from unconstrained face images is studied.
论文关键词：Age and gender classification,Fine tuning,Deep neural networks,Cost function,Face recognition
论文评审过程：Received 24 January 2017, Revised 14 May 2017, Accepted 15 May 2017, Available online 16 May 2017, Version of Record 17 May 2017.
论文官网地址：https://doi.org/10.1016/j.eswa.2017.05.037
