On the Robustness of Speech Emotion Recognition for Human-Robot Interaction with Deep Neural Networks
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- Type
- preprint
- Published
- 2018-04-06
- Cited by
- 61
- References
- 31
- Access
- Open access
- OpenAlex
- https://openalex.org/W2795815916
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:4695897
Keywords
Robustness (evolution), Computer science, Robot, Artificial neural network, iCub
References
- Supervised domain adaptation for emotion recognition from speech
- Convolutional Neural Networks for Sentence Classification
- Deep Speech: Scaling up end-to-end speech recognition
- DeepEar: robust smartphone audio sensing in unconstrained acoustic environments using deep learning
- A Dataset and Taxonomy for Urban Sound Research
- Smoke and mirrors — Virtual realities for sensor fusion experiments in biomimetic robotics
- Recent developments in openSMILE, the munich open-source multimedia feature extractor
- Dropout: a simple way to prevent neural networks from overfitting
- A binaural room impulse response database for the evaluation of dereverberation algorithms
- IEMOCAP: interactive emotional dyadic motion capture database
- ImageNet classification with deep convolutional neural networks
- Deep Speech 2 : End-to-End Speech Recognition in English and Mandarin
- The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing
- Adieu features? End-to-end speech emotion recognition using a deep convolutional recurrent network
- High-level feature representation using recurrent neural network for speech emotion recognition
- Training deep networks for facial expression recognition with crowd-sourced label distribution
- On the Correlation and Transferability of Features Between Automatic Speech Recognition and Speech Emotion Recognition
- Attention Assisted Discovery of Sub-Utterance Structure in Speech Emotion Recognition
- Deep visual foresight for planning robot motion
- Evaluating deep learning architectures for Speech Emotion Recognition
Cited by
- Incorporating End-to-End Speech Recognition Models for Sentiment Analysis
- How Cognitive Models of Human Body Experience Might Push Robotics
- Speech Emotion Recognition Using Deep Learning Techniques: A Review
- Analysis of Deep Learning Architectures for Cross-Corpus Speech Emotion Recognition
- Adaptive Multi Model Architecture by Using Similarity Between Trained User and New User
- Automatic voice emotion recognition of child-parent conversations in natural settings
- Human Interaction Recognition Based on Whole-Individual Detection
- Affective Latent Representation of Acoustic and Lexical Features for Emotion Recognition
- HMM-based phoneme speech recognition system for the control and command of industrial robots
- A Calculation Method of the Similarity Between Trained Model and New Sample by using Gaussian Distribution
- Sound event aware environmental sound segmentation with Mask U-Net
- CopyPaste: An Augmentation Method for Speech Emotion Recognition
- Can a Robot Trust You? : A DRL-Based Approach to Trust-Driven Human-Guided Navigation
- On the Gap between Domestic Robotic Applications and Computational Intelligence
- An Online Robot Teaching Method using Static Hand Gestures and Poses
- Image Generation for 2D-CNN Using Time-Series Signal Features from Foot Gesture Applied to Select Cobot Operating Mode
- Separation of Emotional and Reconstruction Embeddings on Ladder Network to Improve Speech Emotion Recognition Robustness in Noisy Conditions
- EEG-Based Emotion Recognition for Modulating Social-Aware Robot Navigation
- Not All Features are Equal: Selection of Robust Features for Speech Emotion Recognition in Noisy Environments
- CNN based approach for Speech Emotion Recognition Using MFCC, Croma and STFT Hand-crafted features
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