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43 ta ish

Ish: Enhancing Speech Emotion Recognition Using Dual Feature Extraction Encoders

  1. ImageNet classification with deep convolutional neural networks

    Alex Krizhevsky, Ilya Sutskever, Geoffrey E. Hinton

    MaqolaOchiq kirish201728 iqtibos
    ABI

  2. Deep Learning Recommendations of E-Education Based on Clustering and Sequence

    Furkat Safarov, Alpamis Kutlimuratov, Akmalbek Abdusalomov +2

    MaqolaOchiq kirishRecommender Systems and TechniquesElectronics202313 iqtibos
    ABI

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

    Dilnoza Mamieva, Akmalbek Abdusalomov, Alpamis Kutlimuratov +2

    MaqolaOchiq kirishEmotion and Mood RecognitionSensors202311 iqtibos
    ABI

  4. Evolving Hierarchical and Tag Information via the Deeply Enhanced Weighted Non-Negative Matrix Factorization of Rating Predictions

    Alpamis Kutlimuratov, Akmalbek Abdusalomov, Taeg Keun Whangbo

    MaqolaOchiq kirish202010 iqtibos
    ABI

  5. Modeling Speech Emotion Recognition via Attention-Oriented Parallel CNN Encoders

    Fazliddin Makhmudov, Alpamis Kutlimuratov, Farkhod Akhmedov +2

    MaqolaOchiq kirish20229 iqtibos
    ABI

  6. Deep-Sequence–Aware Candidate Generation for e-Learning System

    Aziz Ilyosov, Alpamis Kutlimuratov, Taeg Keun Whangbo

    MaqolaOchiq kirish20216 iqtibos
    ABI

  7. Sarlavhasiz

    Boshqa4 iqtibos
    ABI

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

    Wenliang Dai, Samuel Cahyawijaya, Zihan Liu +1

    MaqolaOchiq kirish20214 iqtibos
    ABI

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

    Juan Li, Xueying Zhang, Lixia Huang +3

    MaqolaOchiq kirish20224 iqtibos
    ABI

  10. 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

    MaqolaOchiq kirish20183 iqtibos
    ABI

  11. A Novel Approach for Classification of Speech Emotions Based on Deep and Acoustic Features

    Mehmet Bilal Er

    MaqolaOchiq kirish20203 iqtibos
    ABI

  12. Speech Emotion Recognition Based on Multiple Acoustic Features and Deep Convolutional Neural Network

    Kishor Bhangale, Mohanaprasad Kothandaraman

    MaqolaOchiq kirish20233 iqtibos
    ABI

  13. Two-Way Feature Extraction for Speech Emotion Recognition Using Deep Learning

    Apeksha Aggarwal, Akshat Srivastava, Ajay Agarwal +5

    MaqolaOchiq kirish20222 iqtibos
    ABI

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

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

    MaqolaOchiq kirish20152 iqtibos
    ABI

  15. Deep Spiking Neural Network for Video-Based Disguise Face Recognition Based on Dynamic Facial Movements

    Daqi Liu, Nicola Bellotto, Shigang Yue

    MaqolaOchiq kirish20192 iqtibos
    ABI

  16. Feature extraction algorithms to improve the speech emotion recognition rate

    Anusha Koduru, Hima Bindu Valiveti, Anil Kumar Budati

    Maqola20202 iqtibos
    ABI

  17. Utterance Level Feature Aggregation with Deep Metric Learning for Speech Emotion Recognition

    Bogdan Mocanu, Ruxandra Țapu, Titus Zaharia

    MaqolaOchiq kirish20212 iqtibos
    ABI

  18. Sarlavhasiz

    Boshqa2 iqtibos
    ABI

  19. Multi-Input Speech Emotion Recognition Model Using Mel Spectrogram and GeMAPS

    Itsuki Toyoshima, Yoshifumi Okada, Momoko Ishimaru +2

    MaqolaOchiq kirish20232 iqtibos
    ABI

  20. Sarlavhasiz

    Boshqa1 iqtibos
    ABI

  21. Sarlavhasiz

    Boshqa1 iqtibos
    ABI

  22. Sarlavhasiz

    Boshqa1 iqtibos
    ABI

  23. Sarlavhasiz

    BoshqaOchiq kirish1 iqtibos
    ABI

  24. Sarlavhasiz

    Boshqa1 iqtibos
    ABI

  25. Sarlavhasiz

    BoshqaOchiq kirish1 iqtibos
    ABI