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Works cited by this work

51 works

Work: Hybrid LSTM–Attention and CNN Model for Enhanced Speech Emotion Recognition

  1. Long Short-Term Memory

    Sepp Hochreiter, Jürgen Schmidhuber

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  2. Using Algorithmic Modeling to Control User Access Based on Functioning Table

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  3. Synthesis of Optimal Correction Functions in the Class of Disjunctive Normal Forms

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  4. Multimodal Emotion Detection via Attention-Based Fusion of Extracted Facial and Speech Features

    Dilnoza Mamieva, Akmalbek Abdusalomov, Alpamis Kutlimuratov +2

    ArticleEmotion and Mood RecognitionSensors202311 citations
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  5. Modeling Speech Emotion Recognition via Attention-Oriented Parallel CNN Encoders

    Fazliddin Makhmudov, Alpamis Kutlimuratov, Farkhod Akhmedov +2

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  6. Algebraic Recognition Approach in IoT Ecosystem

    Anvar Kabulov, Islambek Saymanov, Akbarjon Babadjanov +1

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  7. Enhancing Multimodal Emotion Recognition through Attention Mechanisms in BERT and CNN Architectures

    Fazliddin Makhmudov, Alpamis Kultimuratov, Young Im Cho

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  8. Multimodal End-to-End Sparse Model for Emotion Recognition

    Wenliang Dai, Samuel Cahyawijaya, Zihan Liu +1

    Article20214 citations
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  9. Speech Emotion Recognition Using a Dual-Channel Complementary Spectrogram and the CNN-SSAE Neutral Network

    Juan Li, Xueying Zhang, Lixia Huang +3

    Article20224 citations
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  10. Improved Speech Emotion Recognition Focusing on High-Level Data Representations and Swift Feature Extraction Calculation

    Akmalbek Abdusalomov, Alpamis Kutlimuratov, Rashid Nasimov +1

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  11. A novel dual-modal emotion recognition algorithm with fusing hybrid features of audio signal and speech context

    Yurui Xu, Hang Su, Guijin Ma +1

    Article20223 citations
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  12. Untitled

    Other3 citations
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  13. Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation

    David Powers

    Preprint20203 citations
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  14. The Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS): A dynamic, multimodal set of facial and vocal expressions in North American English

    Steven R. Livingstone, Frank Russo

    Article20183 citations
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  15. A Novel Approach for Classification of Speech Emotions Based on Deep and Acoustic Features

    Mehmet Bilal Er

    Article20203 citations
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  16. Speech Emotion Recognition Based on Multiple Acoustic Features and Deep Convolutional Neural Network

    Kishor Bhangale, Mohanaprasad Kothandaraman

    Article20233 citations
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  17. IEMOCAP: interactive emotional dyadic motion capture database

    Carlos Busso, Murtaza Bulut, Chi-Chun Lee +6

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  18. Fusion of a Complementary Feature Set with MFCC for Improved Closed Set Text-Independent Speaker Identification

    Sandipan Chakroborty, Anindya Roy, Goutam Saha

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  19. The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing

    Florian Eyben, Klaus R. Scherer, Björn W. Schuller +8

    Article20152 citations
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  20. A novel spatio-temporal convolutional neural framework for multimodal emotion recognition

    Masoumeh Sharafi, Mohammadreza Yazdchi, Reza Rasti +1

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  21. Human–Computer Interaction with a Real-Time Speech Emotion Recognition with Ensembling Techniques 1D Convolution Neural Network and Attention

    Waleed Alsabhan

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  22. Speech Emotion Recognition Using Attention Model

    Jagjeet Singh, Lakshmi Babu Saheer, Oliver Faust

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  23. Paralinguistic and spectral feature extraction for speech emotion classification using machine learning techniques

    Tong Liu, Xiaochen Yuan

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  24. Untitled

    Other2 citations
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  25. Untitled

    Other1 citations
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