A combined CNN-LSTM Network for Audio Emotion Recognition using Speech and Song attributs

Author:

Ayadi Souha1,Lachiri Zied1

Affiliation:

1. University of Tunis el Manar National School of Engineers (ENIT),Dept. Electrical Engineering Signal Image and Information Technology Laboratory (SITI),Tunis,Tunisia,1002

Publisher

IEEE

Reference24 articles.

1. A cnn-assisted enhanced audio signal processing for speech emotion recognition;kwon et al;SENSORS,2020

2. Detecting emotion in music;li,2003

3. Constructing long short-term memory based deep recurrent neural networks for large vocabulary speech recognition;li;CoRR,2014

4. Improved End-to-End Speech Emotion Recognition Using Self Attention Mechanism and Multitask Learning

5. Cnn based music emotion classification;liu,2017

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1. LSTM Architecture Valuation in Recognizing Speech-Based Emotion;2024 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT);2024-07-04

2. CochleaTion: Speech Emotion Recognition Through Cochleagram with CNN-GRU and Attention Mechanism;2024 6th International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT);2024-05-02

3. Enhancing Speech Emotion Recognition in Urdu Using Bi-GRU Networks: An In-Depth Analysis of Acoustic Features and Model Interpretability;2024 IEEE International Conference on Industrial Technology (ICIT);2024-03-25

4. Deep neural network architectures for audio emotion recognition performed on song and speech modalities;International Journal of Speech Technology;2023-12

5. Time Distributed Multiview Representation for Speech Emotion Recognition;Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications;2023-11-27

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