多模態語音識別近期相關文獻

《Audio-Visual Emotion Recognition Using Big Data Towards 5G》SCI
《Towards multimodal emotion recognition in e-learning environments》SCI
《AVEC 2016: Depression, Mood, and Emotion Recognition Workshop and Challenge》
《Adieu features? End-to-end speech emotion recognition using a deep convolutional recurrent network》 Icassp
《Combining Modality-Specific Extreme Learning Machines for Emotion Recognition in the Wild》SCI
《Augmenting Supervised Emotion Recognition with Rule-Based Decision Model》
《EmotiW 2016: video and group-level emotion recognition challenges》EmotiW 2016
《Edge Based Grid Super-Imposition for Crowd Emotion Recognition》
《Robust Acoustic Emotion Recognition Based on Cascaded Normalization and Extreme Learning Machines》ISNN
《Enhanced semi-supervised learning for multimodal emotion recognition》IEEE International Conference on Acoustics
《Multimodal Emotion Recognition Using Deep Networks》SCI
《Introduction to EEG- and Speech-Based Emotion Recognition》
《Continuous Music-Emotion Recognition Based on Electroencephalogram》SCI
《Emotion recognition in the wild via sparse transductive transfer linear discriminant analysis》SCI
《Combining feature-level and decision-level fusion in a hierarchical classifier for emotion recognition in the wild》SCI
《Multimodal emotion recognition using deep learning architectures》IEEE Applications of Computer Vision
《MEC 2016: The Multimodal Emotion Recognition Challenge of CCPR 2016》CCPR 2016
《How deep neural networks can improve emotion recognition on video data》IEEE International Conference on Image Processing
《Multimodal emotion recognition based on peak frame selection from video》SCI
《Emotion recognition from speech under environmental noise conditions using wavelet decomposition》ICCST
《Speech emotion recognition using DWT》IEEE International Conference on Computational Intelligence & Computing Research
《Emotion Recognition Using Multimodal Deep Learning》
《Progress in speech emotion recognition》Tencon IEEE Region 10 Conference
《Towards real-time speech emotion recognition for affective e-learning》SCI
《Facing Realism in Spontaneous Emotion Recognition from Speech: Feature Enhancement by Autoencoder with LSTM Neural Networks》Interspeech
《Emotion recognition in the wild》SCI
《Feature Fusion Algorithm for Multimodal Emotion Recognition from Speech and Facial Expression Signal》
《Facing the Problem: Impaired Emotion Recognition During Multimodal Social Information Processing in Borderline Personality Disorder》SCI
《Use of Agreement/Disagreement Classification in Dyadic Interactions for Continuous Emotion Recognition》Interspeech
《Emotion recognition using fixed length micro-expressions sequence and weighting method》IEEE Press
《Video-based emotion recognition using CNN-RNN and C3D hybrid networks》Acm International Conference on Multimodal Interaction
《Multi-clue fusion for emotion recognition in the wild》Acm International Conference on Multimodal Interaction
《Emotion Recognition Using Multimodal Deep Learning》Springer International Publishing
《HoloNet: towards robust emotion recognition in the wild》Acm International Conference
《Modelling Automatic Continuous Emotion Recognition using Machine Learning Approach》
《On the Correlation and Transferability of Features Between Automatic Speech Recognition and Speech Emotion Recognition》Interspeech
《Speech Emotion Recognition Using Voiced Segment Selection Algorithm》
《Multilingual Speech Emotion Recognition System Based on a Three-Layer Model》Interspeech
《The Multi-Agents Architecture for Emotion Recognition》SCI
《Comparison of Several Acoustic Modeling Techniques for Speech Emotion Recognition》SCI
《Speech Emotion Recognition Using Affective Saliency》Interspeech
《Human Emotion Recognition using Neural Network Technique》SCI
《Representation Learning for Speech Emotion Recognition》Interspeech
《Deep spatio-temporal features for multimodal emotion recognition》IEEE Winter Conference on Applications of Computer Vision
《Speech-based emotion recognition and speaker identification: static vs. dynamic mode of speech representation》SCI
《Video emotion recognition in the wild based on fusion of multimodal features》ACM International Conference on Multimodal Interaction
《Audio and face video emotion recognition in the wild using deep neural networks and small datasets》Acm International Conference on Multimodal Interaction
《Emotion Recognition in Videos via Fusing Multimodal Features》CCPR 2016
《Multimodal emotion recognition with evolutionary computation for human-robot interaction》SCI
《Using YouTube Comments for Text-based Emotion Recognition》SCI
《The SYSU System for CCPR 2016 Multimodal Emotion Recognition Challenge》CCPR 2016
《Multimodal Emotion Recognition for AVEC 2016 Challenge》AVEC 2016
《Evaluating deep learning architectures for Speech Emotion Recognition》SCI
《End-to-End Multimodal Emotion Recognition using Deep Neural Networks》
《Text-Based Emotion Recognition Approach》
《Multimodal Deep Convolutional Neural Network for Audio-Visual Emotion Recognition》Acm on International Conference on Multimedia Retrieval
《Research on speech emotion recognition based on deep auto-encoder》IEEE International Conference on Cyber Technology in Automation
《Fusion of classifier predictions for audio-visual emotion recognition》
《Combining feature selection and representation for speech emotion recognition》IEEE International Conference on Multimedia & Expo Workshops