Age Estimation in Short Speech Utterances Based on LSTM Recurrent Neural Networks

Age Estimation in Short Speech Utterances Based on LSTM Recurrent Neural Networks

Age estimation from speech has recently received increased interest as it is useful for many applications such as user-profiling, targeted marketing, or personalized call-routing. This kind of applications need to quickly estimate the age of the speaker and might greatly benefit from real-time capab...

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Bibliographic Details
Main Authors:	Ruben Zazo, Phani Sankar Nidadavolu, Nanxin Chen, Joaquin Gonzalez-Rodriguez, Najim Dehak
Format:	Article
Language:	English
Published:	IEEE 2018-01-01
Series:	IEEE Access
Subjects:	Automatic age estimation LSTM RNN DNN NIST
Online Access:	https://ieeexplore.ieee.org/document/8316819/

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