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An Ensemble 1D-CNN-LSTM-GRU Model with Data Augmentation for Speech
  Emotion Recognition

An Ensemble 1D-CNN-LSTM-GRU Model with Data Augmentation for Speech Emotion Recognition

10 December 2021
Md. Rayhan Ahmed
Salekul Islam
Ph. D
A. Muzahidul Islam
Ph. D
Swakkhar Shatabda
Ph. D
ArXivPDFHTML

Papers citing "An Ensemble 1D-CNN-LSTM-GRU Model with Data Augmentation for Speech Emotion Recognition"

5 / 5 papers shown
Title
Data Augmentation and Hyperparameter Tuning for Low-Resource MFA
Data Augmentation and Hyperparameter Tuning for Low-Resource MFA
Alessio Tosolini
Claire Bowern
21
0
0
09 Apr 2025
SEGAA: A Unified Approach to Predicting Age, Gender, and Emotion in
  Speech
SEGAA: A Unified Approach to Predicting Age, Gender, and Emotion in Speech
R. Aron
I. Sigicharla
Chirag Periwal
K. Mohanaprasad
S. NithyaDarisiniP
Sourabh Tiwari
Shivani Arora
21
3
0
01 Mar 2024
The Graph feature fusion technique for speaker recognition based on
  wav2vec2.0 framework
The Graph feature fusion technique for speaker recognition based on wav2vec2.0 framework
Zirui Ge
Haiyan Guo
Zhen Yang
32
1
0
19 Mar 2023
DoubleU-NetPlus: A Novel Attention and Context Guided Dual U-Net with
  Multi-Scale Residual Feature Fusion Network for Semantic Segmentation of
  Medical Images
DoubleU-NetPlus: A Novel Attention and Context Guided Dual U-Net with Multi-Scale Residual Feature Fusion Network for Semantic Segmentation of Medical Images
Md. Rayhan Ahmed
Adnan Ferdous Ashrafi
R. Ahmed
Swakkhar Shatabda
A. Muzahidul Islam
Salekul Islam
SSeg
35
20
0
25 Nov 2022
Multi-Window Data Augmentation Approach for Speech Emotion Recognition
Multi-Window Data Augmentation Approach for Speech Emotion Recognition
Sarala Padi
Tianyi Zhou
Ram D.Sriram
27
10
0
19 Oct 2020
1