Recognizing Emotions From Whispered Speech Based on Acoustic Feature Transfer Learning

Recognizing Emotions From Whispered Speech Based on Acoustic Feature Transfer Learning

Whispered speech, as an alternative speaking style for normal phonated (non-whispered) speech, has received little attention in speech emotion recognition. Currently, speech emotion recognition systems are exclusively designed to process normal phonated speech and can result in significantly degrade...

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Bibliographic Details
Main Authors: Jun Deng, Sascha Fruhholz, Zixing Zhang, Bjorn Schuller
Format: Article
Language:English
Published: IEEE 2017-01-01
Series:IEEE Access
Subjects:
Speech emotion recognition
whispered speech
feature transfer learning
autoencoders
extreme learning machines
Online Access:https://ieeexplore.ieee.org/document/7879177/

Internet

https://ieeexplore.ieee.org/document/7879177/

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