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Speech Emotion Recognition

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하위 태스크: 4
평가표: 17
보존된 평가 기록: 48

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/TraceyZhong/EBPCA

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Empirical Bayes PCA in high dimensions

https://github.com/Trustworthy-AI-Group/DHF

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Diversifying the High-level Features for better Adversarial Transferability

https://github.com/TurboFreeze/dp-robust-filter

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Designing Differentially Private Estimators in High Dimensions

https://github.com/UNHSAILLab/SentimentalLIAR

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Sentimental LIAR: Extended Corpus and Deep Learning Models for Fake Claim Classification

https://github.com/Vincent-ZHQ/MSER

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Large Language Models Meet Contrastive Learning: Zero-Shot Emotion Recognition Across Languages

https://github.com/Vivianstats/TUBE

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Bridging Cost-sensitive and Neyman-Pearson Paradigms for Asymmetric Binary Classification

https://github.com/WeiHao97/DIVA

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A Tale of Two Models: Constructing Evasive Attacks on Edge Models

https://github.com/Wisteria30/GIM-RL

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Generic Itemset Mining Based on Reinforcement Learning

https://github.com/XingangPan/IBN-Net

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Two at Once: Enhancing Learning and Generalization Capacities via IBN-Net

https://github.com/XuzheZ/PTNet

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PTNet: A High-Resolution Infant MRI Synthesizer Based on Transformer

https://github.com/YStrauch/evolving-cnn-topologies-for-image-recognition

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Two Novel Performance Improvements for Evolving CNN Topologies

https://github.com/YalDan/hf.econometrics

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Understanding jumps in high frequency digital asset markets

https://github.com/YingjieHu/POI_Name

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An empirical study on the names of points of interest and their changes with geographic distance

https://github.com/YoYo000/MVSNet

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Recurrent MVSNet for High-resolution Multi-view Stereo Depth Inference

https://github.com/YuanGongND/ast

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AST: Audio Spectrogram Transformer

https://github.com/YueLiao/CDN

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Mining the Benefits of Two-stage and One-stage HOI Detection

https://github.com/YunlongJiao/kernrank

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The Weighted Kendall and High-order Kernels for Permutations

https://github.com/YunlongJiao/weightedkendall

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The Weighted Kendall and High-order Kernels for Permutations

https://github.com/Zedd1558/TwoStreamSepConvLSTM_ViolenceDetection

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Efficient Two-Stream Network for Violence Detection Using Separable Convolutional LSTM

https://github.com/ZeyuGaoAi/Instance_based_Vision_Transformer

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Instance-based Vision Transformer for Subtyping of Papillary Renal Cell Carcinoma in Histopathological Image

https://github.com/ZhangShiyue/ChrEn

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ChrEn: Cherokee-English Machine Translation for Endangered Language Revitalization

https://github.com/ZhaoJ9014/face.evoLVe.PyTorch

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Face.evoLVe: A High-Performance Face Recognition Library

https://github.com/Zhenyu-LIAO/RMT4RFM

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On the Spectrum of Random Features Maps of High Dimensional Data

https://github.com/ZilongTan/arLMM

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Scalable Algorithms for Learning High-Dimensional Linear Mixed Models

https://github.com/a-moin/flexemg

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An EMG Gesture Recognition System with Flexible High-Density Sensors and Brain-Inspired High-Dimensional Classifier

https://github.com/a-mos/High_Resolution_Image_Inpainting

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Deep Two-Stage High-Resolution Image Inpainting

https://github.com/aalto-speech/mtkd4ser

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Multi-Teacher Language-Aware Knowledge Distillation for Multilingual Speech Emotion Recognition

https://github.com/aboriginer/hfs-sde

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High-Frequency Space Diffusion Models for Accelerated MRI

https://github.com/adobe-research/auto-wire-removal

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Automatic High Resolution Wire Segmentation and Removal

https://github.com/adonis-galaxy/dspoint

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DSPoint: Dual-scale Point Cloud Recognition with High-frequency Fusion

https://github.com/adrianastan/tbdm-net

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TBDM-Net: Bidirectional Dense Networks with Gender Information for Speech Emotion Recognition

https://github.com/adrianhutter/learning_with_opponent_transparency

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Learning in two-player games between transparent opponents

https://github.com/afrl-ri/adversarialDistance

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Harnessing Adversarial Distances to Discover High-Confidence Errors

https://github.com/afsaneh-mastouri/kpv

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Proximal Causal Learning with Kernels: Two-Stage Estimation and Moment Restriction

https://github.com/agent-sgs/pillarnet

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PillarNet: Real-Time and High-Performance Pillar-based 3D Object Detection

https://github.com/agi-lab/glmmnet

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Machine Learning with High-Cardinality Categorical Features in Actuarial Applications

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.