Real-Time Speech Emotion Recognition Using a Pre-trained Image Classification Network: Effects of Bandwidth Reduction and Companding

Real-Time Speech Emotion Recognition Using a Pre-trained Image Classification Network: Effects of Bandwidth Reduction and Companding

This paper examines the effects of reduced speech bandwidth and the μ-low companding procedure used in transmission systems on the accuracy of speech emotion recognition (SER). A step by step description of a real-time speech emotion recognition implementation using a pre-trained image classificatio...

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Bibliographic Details
Main Authors: Margaret Lech, Melissa Stolar, Christopher Best, Robert Bolia
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-05-01
Series:Frontiers in Computer Science
Subjects:
speech emotions
real-time speech classification
transfer learning
bandwidth reduction
companding
Online Access:https://www.frontiersin.org/article/10.3389/fcomp.2020.00014/full

Internet

https://www.frontiersin.org/article/10.3389/fcomp.2020.00014/full

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