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Emotion Recognition

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하위 태스크: 12
평가표: 10
보존된 평가 기록: 18

Emotion Recognition is an important area of research to enable effective human-computer interaction. Human emotions can be detected using speech signal, facial expressions, body language, and electroencephalography (EEG). Source: Using Deep Autoencoders for Facial Expression Recognition

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/arsena-k/Word2Vec-bias-extraction

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Machine learning as a model for cultural learning: Teaching an algorithm what it means to be fat

https://github.com/arvijj/hfpl

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High-fidelity Pseudo-labels for Boosting Weakly-Supervised Segmentation

https://github.com/aryaaftab/light-sernet

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Light-SERNet: A lightweight fully convolutional neural network for speech emotion recognition

https://github.com/aryandeshwal/bodi

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Bayesian Optimization over High-Dimensional Combinatorial Spaces via Dictionary-based Embeddings

https://github.com/asimokby/formality-bias-analysis

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In What Languages are Generative Language Models the Most Formal? Analyzing Formality Distribution across Languages

https://github.com/asindel/artfacepoints

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ArtFacePoints: High-resolution Facial Landmark Detection in Paintings and Prints

https://github.com/aslp-lab/osum

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OSUM: Advancing Open Speech Understanding Models with Limited Resources in Academia

https://github.com/asmadotgh/unc-net

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Characterizing Sources of Uncertainty to Proxy Calibration and Disambiguate Annotator and Data Bias

https://github.com/asolitaryman/hflea

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Frame-level emotional state alignment method for speech emotion recognition

https://github.com/asteroid-team/asteroid/tree/master/egs/wsj0-mix-var/Multi-Decoder-DPRNN

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Multi-Decoder DPRNN: High Accuracy Source Counting and Separation

https://github.com/atechnicolorskye/rrHDI

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Robust Inference for High-Dimensional Linear Models via Residual Randomization

https://github.com/athena-team/athena

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Speech SIMCLR: Combining Contrastive and Reconstruction Objective for Self-supervised Speech Representation Learning

https://github.com/athena-xiourouppa/NLP-The-Simpsons-and-9-11

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Investigating the Impact of 9/11 on The Simpsons through Natural Language Processing

https://github.com/atzheng/DantzigLP

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Computing Estimators of Dantzig Selector type via Column and Constraint Generation

https://github.com/audeering/ser-uncertainty-quantification

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Are you sure? Analysing Uncertainty Quantification Approaches for Real-world Speech Emotion Recognition

https://github.com/audeering/w2v2-how-to

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Dawn of the transformer era in speech emotion recognition: closing the valence gap

https://github.com/auroua/hrstnet

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High-Resolution Swin Transformer for Automatic Medical Image Segmentation

https://github.com/autonomousfieldroboticslab/gopro_ros

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High Definition, Inexpensive, Underwater Mapping

https://github.com/b04901014/FT-w2v2-ser

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Exploring Wav2vec 2.0 fine-tuning for improved speech emotion recognition

https://github.com/bagustris/A-VB2022_CCC

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Predicting Affective Vocal Bursts with Finetuned wav2vec 2.0

https://github.com/bagustris/ccc_mse_ser

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Evaluation of Error and Correlation-Based Loss Functions For Multitask Learning Dimensional Speech Emotion Recognition

https://github.com/bagustris/deep_mlp_ser

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Deep Multilayer Perceptrons for Dimensional Speech Emotion Recognition

https://github.com/bagustris/ravdess_song_speech

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On The Differences Between Song and Speech Emotion Recognition: Effect of Feature Sets, Feature Types, and Classifiers

https://github.com/baodaiqin/UGDSRE

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Two Training Strategies for Improving Relation Extraction over Universal Graph

https://github.com/baojianzhou/ftrl-auc

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Online AUC Optimization for Sparse High-Dimensional Datasets

https://github.com/barbua/anmin

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Training a Two Layer ReLU Network Analytically

https://github.com/barisgecer/ganfit

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GANFIT: Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction

https://github.com/batmanlab/ha-gan

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Hierarchical Amortized Training for Memory-efficient High Resolution 3D GAN

https://github.com/bcmi/CDTNet-High-Resolution-Image-Harmonization

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High-Resolution Image Harmonization via Collaborative Dual Transformations

https://github.com/bcmi220/hosrl

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High-order Semantic Role Labeling

https://github.com/bellet/HDSL

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Similarity Learning for High-Dimensional Sparse Data

https://github.com/benbergner/ips

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Iterative Patch Selection for High-Resolution Image Recognition

https://github.com/benoitwang/speechbrain

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Speech Emotion Diarization: Which Emotion Appears When?

https://github.com/bes-dev/MobileStyleGAN.pytorch

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MobileStyleGAN: A Lightweight Convolutional Neural Network for High-Fidelity Image Synthesis

https://github.com/bes-dev/random_face

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MobileStyleGAN: A Lightweight Convolutional Neural Network for High-Fidelity Image Synthesis

https://github.com/bgs25/OrderRegression

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High-dimensional regression with potential prior information on variable importance

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