A Multi-Feature Fusion Speech Emotion Recognition Method Based on Frequency Band Division and Improved Residual Network-Reference-Cited by-同舟云学术

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A Multi-Feature Fusion Speech Emotion Recognition Method Based on Frequency Band Division and Improved Residual Network

Published:2023 Issue: Volume:11 Page:86013-86024
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Guo Yi¹^ORCID,Zhou Yongping¹^ORCID,Xiong Xuejun¹,Jiang Xin¹,Tian Hanbing¹,Zhang Qianxue¹

Affiliation:

1. School of Electrical and Electronic Information, Xihua University, Chengdu, China

Funder

Intelligent Terminal Key Laboratory of Sichuan Province

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10196482.pdf?arnumber=10196482

Reference33 articles.

1. Speech emotion recognition method based on efficient channel attention mechanism;dai;Signal Process,2021

2. Speech emotion recognition using deep 1D & 2D CNN LSTM networks

3. Acoustic scene classification based on Mel spectrogram decomposition and model merging

4. Feature Extraction Method for Improving Speech Recognition in Noisy Environments

5. A Lightweight Model Based on Separable Convolution for Speech Emotion Recognition

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