Emotional speech Recognition using CNN and Deep learning techniques-Reference-Cited by-同舟云学术

Emotional speech Recognition using CNN and Deep learning techniques

Published:2023-08 Issue: Volume:211 Page:109492
ISSN:0003-682X
Container-title:Applied Acoustics
language:en
Short-container-title:Applied Acoustics

Author:

Hema C.^ORCID,Garcia Marquez Fausto Pedro

Funder

Universidad de Castilla-La Mancha

Publisher

Elsevier BV

Subject

Acoustics and Ultrasonics

Reference15 articles.

1. Emotion Recognition Using Hybrid Gaussian Mixture Model and Deep Neural Network;Shahin;IEEE Access,2019

2. Speaker-sensitive emotion recognition via ranking: Studies on acted and spontaneous speech;Cao;Comput Speech Lang,2015

3. Shape-based modelling of the fundamental frequency contour for emotion detection in speech;Arias;Comput Speech Lang,2014

4. Primitives-based evaluation and estimation of emotions in speech;Grimm;Speech Commun,2007

5. T L Nwe'; S W Foo L C De Silva, “Detection of Stress and Emotion in speech Using Traditional and FFT Based Log Energy Features” 0-7803-8185-8/03 2003 IEEE (2003).

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