Optimizing Speech Emotion Recognition with Hilbert Curve and convolutional neural network

Optimizing Speech Emotion Recognition with Hilbert Curve and convolutional neural network

In the realm of speech emotion recognition, researchers strive to refine representation methods for improved emotional information capture. Traditional one-dimensional time series classification falls short in expressing intricate emotional patterns present in speech signals, posing challenges in ac...

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Bibliographic Details
Main Authors: Zijun Yang, Shi Zhou, Lifeng Zhang, Seiichi Serikawa
Format: Article
Language:English
Published: KeAi Communications Co. Ltd. 2024-01-01
Series:Cognitive Robotics
Subjects:
Speech emotion recognition
Hilbert curvert
Deep learninng
Speech features
Online Access:http://www.sciencedirect.com/science/article/pii/S2667241323000411
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