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DNN-HMM-Based Speaker-Adaptive Emotion Recognition Using MFCC and Epoch-Based Features · Study

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ArticleDNN-HMM-Based Speaker-Adaptive Emotion Recognition Using MFCC and Epoch-Based Features

Gayadhar Pradhan2020

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Articlegreen2020

DNN-HMM-Based Speaker-Adaptive Emotion Recognition Using MFCC and Epoch-Based Features

Gayadhar Pradhan

87 citations·0/0 files stored·Circuits Systems and Signal Processing

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Emotion and Mood Recognition Speech Recognition and Synthesis Speech and Audio Processing

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References

2008IEMOCAP: interactive emotional dyadic motion capture database 2005A database of German emotional speech 2005Toward detecting emotions in spoken dialogs 2014Speech emotion recognition using deep neural network and extreme learning machine 2017Automatic speech emotion recognition using recurrent neural networks with local attention 2003Hidden Markov model-based speech emotion recognition 2010Cross-Corpus Acoustic Emotion Recognition: Variances and Strategies 2000Emotion Recognition in Speech Using Neural Networks

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2024An enhanced speech emotion recognition using vision transformer 2022Human-Computer Interaction with Detection of Speaker Emotions Using Convolution Neural Networks 2023Depression Detection in Speech Using Transformer and Parallel Convolutional Neural Networks

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Year2020

Typearticle

Published2020-07-21

VenueCircuits Systems and Signal Processing

ISSN-L0278-081X

Languageen

Citations87

Files0 public / 0

ShelfEmotion and Mood Recognition

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doi10.1007/s00034-020-01486-8

openalex_workW2807062934

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