Papers with Code 아카이브
Speech Emotion Recognition
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- 평가표
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- 보존된 평가 기록
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Speech Emotion Recognition is a task of speech processing and computational paralinguistics that aims to recognize and categorize the emotions expressed in spoken language. The goal is to determine the emotional state of a speaker, such as happiness, anger, sadness, or frustration, from their speech patterns, such as prosody, pitch, and rhythm.
For multimodal emotion recognition, please upload your result to Multimodal Emotion Recognition on IEMOCAP
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/XINZXZHANG/Bert_repo
https://github.com/XUJitao/WordEmbedding
https://github.com/XapaJIaMnu/transformative
https://github.com/XiSHEN0220/RANSAC-Flow
https://github.com/XiaXuehai/faceboxes
https://github.com/Xinsen-Zhang/transformer
https://github.com/XuhanLiu/Transformer
https://github.com/YYGXjpg/BERT_WL
https://github.com/Yang-Q-D/mindsporeCode/tree/master/ibnnet
Two at Once: Enhancing Learning and Generalization Capacities via IBN-Net
https://github.com/YangRui2015/Modular_HER
https://github.com/YaohuiZeng/biglasso
Hybrid safe-strong rules for efficient optimization in lasso-type problems
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https://github.com/Young-in/ANM-Assignment2-loglizer
Anomaly Detection using Autoencoders in High Performance Computing Systems
https://github.com/YoungXiyuan/DCA
Neural Fine-Grained Entity Type Classification with Hierarchy-Aware Loss
https://github.com/Yu-Group/iterative-Random-Forest
Iterative Random Forests to detect predictive and stable high-order interactions
https://github.com/YuanEric88/bert-nlu
https://github.com/YvanG/VQGAN-CLIP
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https://github.com/ZVK/Talking-Heads
Large Scale GAN Training for High Fidelity Natural Image Synthesis
https://github.com/ZVK/talking_heads
Large Scale GAN Training for High Fidelity Natural Image Synthesis
https://github.com/ZacharyChenpk/Local_ETHZ
Neural Fine-Grained Entity Type Classification with Hierarchy-Aware Loss
https://github.com/ZainRaza14/deepRL
https://github.com/Zehui127/SQUAD_BERT
https://github.com/ZhiqiWang12-hash/text_audio_classification
Learning Alignment for Multimodal Emotion Recognition from Speech
https://github.com/ZiningZhu/feng-hirst-rst-parser
Two-pass Discourse Segmentation with Pairing and Global Features
https://github.com/ZiyangY/IndProject-RL-in-Supply-chain
https://github.com/ZmeiGorynych/transformer_pytorch
https://github.com/ZurichNLP/sockeye
https://github.com/a-vzer/waveletflowpytorch
Wavelet Flow: Fast Training of High Resolution Normalizing Flows
https://github.com/a414351664/Bert_MRC
https://github.com/a414351664/my_git_laser
https://github.com/aakashrkaku/seq2seq_hrar
Sequence-to-Sequence Modeling for Action Identification at High Temporal Resolution
https://github.com/aaron-wheeler/SFIArtificialStockMarket.jl
The effects of incentives, social norms, and employees' values on work performance
https://github.com/aaronH45/sentimentAnalysis
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.