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43 та иш

Иш: Enhancing Speech Emotion Recognition Using Dual Feature Extraction Encoders

  1. ImageNet classification with deep convolutional neural networks

    Alex Krizhevsky, Ilya Sutskever, Geoffrey E. Hinton

    Мақола201723 иқтибос
    ABI

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

    Furkat Safarov, Alpamis Kutlimuratov, Akmalbek Abdusalomov +2

    МақолаRecommender Systems and TechniquesElectronics202312 иқтибос
    ABI

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

    Dilnoza Mamieva, Akmalbek Abdusalomov, Alpamis Kutlimuratov +2

    МақолаEmotion and Mood RecognitionSensors202311 иқтибос
    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

    Мақола202010 иқтибос
    ABI

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

    Fazliddin Makhmudov, Alpamis Kutlimuratov, Farkhod Akhmedov +2

    Мақола20229 иқтибос
    ABI

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

    Aziz Ilyosov, Alpamis Kutlimuratov, Taeg Keun Whangbo

    Мақола20216 иқтибос
    ABI

  7. Сарлавҳасиз

    Бошқа4 иқтибос
    ABI

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

    Wenliang Dai, Samuel Cahyawijaya, Zihan Liu +1

    Мақола20214 иқтибос
    ABI

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

    Juan Li, Xueying Zhang, Lixia Huang +3

    Мақола20224 иқтибос
    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

    Мақола20183 иқтибос
    ABI

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

    Mehmet Bilal Er

    Мақола20203 иқтибос
    ABI

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

    Kishor Bhangale, Mohanaprasad Kothandaraman

    Мақола20233 иқтибос
    ABI

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

    Apeksha Aggarwal, Akshat Srivastava, Ajay Agarwal +5

    Мақола20222 иқтибос
    ABI

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

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

    Мақола20152 иқтибос
    ABI

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

    Daqi Liu, Nicola Bellotto, Shigang Yue

    Мақола20192 иқтибос
    ABI

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

    Anusha Koduru, Hima Bindu Valiveti, Anil Kumar Budati

    Мақола20202 иқтибос
    ABI

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

    Bogdan Mocanu, Ruxandra Țapu, Titus Zaharia

    Мақола20212 иқтибос
    ABI

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

    Itsuki Toyoshima, Yoshifumi Okada, Momoko Ishimaru +2

    Мақола20232 иқтибос
    ABI

  19. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI

  20. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI

  21. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI

  22. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI

  23. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI

  24. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI

  25. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI