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Работы, на которые ссылается эта работа

Работ: 43

Работа: Enhancing Speech Emotion Recognition Using Dual Feature Extraction Encoders

  1. ImageNet classification with deep convolutional neural networks

    Alex Krizhevsky, Ilya Sutskever, Geoffrey E. Hinton

    Статья2017Цитирований: 23
    ABI

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

    Furkat Safarov, Alpamis Kutlimuratov, Akmalbek Abdusalomov +2

    СтатьяRecommender Systems and TechniquesElectronics2023Цитирований: 12
    ABI

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

    Dilnoza Mamieva, Akmalbek Abdusalomov, Alpamis Kutlimuratov +2

    СтатьяEmotion and Mood RecognitionSensors2023Цитирований: 11
    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

    Статья2020Цитирований: 10
    ABI

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

    Fazliddin Makhmudov, Alpamis Kutlimuratov, Farkhod Akhmedov +2

    Статья2022Цитирований: 9
    ABI

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

    Aziz Ilyosov, Alpamis Kutlimuratov, Taeg Keun Whangbo

    Статья2021Цитирований: 6
    ABI

  7. Без названия

    ДругоеЦитирований: 4
    ABI

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

    Wenliang Dai, Samuel Cahyawijaya, Zihan Liu +1

    Статья2021Цитирований: 4
    ABI

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

    Juan Li, Xueying Zhang, Lixia Huang +3

    Статья2022Цитирований: 4
    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

    Статья2018Цитирований: 3
    ABI

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

    Mehmet Bilal Er

    Статья2020Цитирований: 3
    ABI

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

    Kishor Bhangale, Mohanaprasad Kothandaraman

    Статья2023Цитирований: 3
    ABI

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

    Apeksha Aggarwal, Akshat Srivastava, Ajay Agarwal +5

    Статья2022Цитирований: 2
    ABI

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

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

    Статья2015Цитирований: 2
    ABI

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

    Daqi Liu, Nicola Bellotto, Shigang Yue

    Статья2019Цитирований: 2
    ABI

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

    Anusha Koduru, Hima Bindu Valiveti, Anil Kumar Budati

    Статья2020Цитирований: 2
    ABI

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

    Bogdan Mocanu, Ruxandra Țapu, Titus Zaharia

    Статья2021Цитирований: 2
    ABI

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

    Itsuki Toyoshima, Yoshifumi Okada, Momoko Ishimaru +2

    Статья2023Цитирований: 2
    ABI

  19. Без названия

    ДругоеЦитирований: 1
    ABI

  20. Без названия

    ДругоеЦитирований: 1
    ABI

  21. Без названия

    ДругоеЦитирований: 1
    ABI

  22. Без названия

    ДругоеЦитирований: 1
    ABI

  23. Без названия

    ДругоеЦитирований: 1
    ABI

  24. Без названия

    ДругоеЦитирований: 1
    ABI

  25. Без названия

    ДругоеЦитирований: 1
    ABI