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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/HLTSingapore/Emotional-Speech-Data

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Seen and Unseen emotional style transfer for voice conversion with a new emotional speech dataset

https://github.com/HPAI-BSC/MetH-baselines

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MetH: A family of high-resolution and variable-shape image challenges

https://github.com/HRNet/HRFormer

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HRFormer: High-Resolution Transformer for Dense Prediction

https://github.com/HRNet/Lite-HRNet

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Lite-HRNet: A Lightweight High-Resolution Network

https://github.com/HaohanWang/HFC

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High Frequency Component Helps Explain the Generalization of Convolutional Neural Networks

https://github.com/HarmoniaLeo/FRLW-EvD

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Motion Robust High-Speed Light-Weighted Object Detection With Event Camera

https://github.com/Huizerd/gym-quad

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Evolved Neuromorphic Control for High Speed Divergence-based Landings of MAVs

https://github.com/HuongHa12/HighdimLSE

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High Dimensional Level Set Estimation with Bayesian Neural Network

https://github.com/IDKiro/MCT

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Multi-Curve Translator for High-Resolution Photorealistic Image Translation

https://github.com/IdePHICS/GaussMixtureProject

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Learning Gaussian Mixtures with Generalised Linear Models: Precise Asymptotics in High-dimensions

https://github.com/ImagingLab/ICIAR2018

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Two-Stage Convolutional Neural Network for Breast Cancer Histology Image Classification

https://github.com/InterDigitalInc/HRFAE

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High Resolution Face Age Editing

https://github.com/IouJenLiu/HTS-RL

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High-Throughput Synchronous Deep RL

https://github.com/IssamLaradji/cownter_strike

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Counting Cows: Tracking Illegal Cattle Ranching From High-Resolution Satellite Imagery

https://github.com/ItaySafran/OneLayerGDconvergence

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Spurious Local Minima are Common in Two-Layer ReLU Neural Networks

https://github.com/Jan10e/Broek_Neuron-Excitability_2020

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Generalisation of neuronal excitability allows for the identification of an excitability change parameter that links to an experimentally measurable value

https://github.com/Jee-King/TSAN

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A Two-Stage Attentive Network for Single Image Super-Resolution

https://github.com/Jencke/binaural-detection-model

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A hemispheric two-channel code accounts for binaural unmasking in humans

https://github.com/Jiaxin-Ye/TIM-Net_SER

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Temporal Modeling Matters: A Novel Temporal Emotional Modeling Approach for Speech Emotion Recognition

https://github.com/JinchaoLove/AffectiveVocalBurstRecognition

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A Hierarchical Regression Chain Framework for Affective Vocal Burst Recognition

https://github.com/JmfanBU/AdvIBP

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Adversarial Training and Provable Robustness: A Tale of Two Objectives

https://github.com/Jpvmello/type-identification-mri-sequences

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Deep Learning-based Type Identification of Volumetric MRI Sequences

https://github.com/JuliaSymbolics/SymbolicUtils.jl

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High-performance symbolic-numerics via multiple dispatch

https://github.com/Kingsford-Group/vsbo

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Computationally Efficient High-Dimensional Bayesian Optimization via Variable Selection

https://github.com/KiveeDong/CentripetalNet

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CentripetalNet: Pursuing High-quality Keypoint Pairs for Object Detection

https://github.com/Kohei-Matsuura/Non-parallel-VC-on-Mboshi

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Generative Adversarial Training Data Adaptation for Very Low-resource Automatic Speech Recognition

https://github.com/LLNL/fpp

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Function Preserving Projection for Scalable Exploration of High-Dimensional Data

https://github.com/LaVieEnRoseSMZ/OQA

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Once Quantization-Aware Training: High Performance Extremely Low-bit Architecture Search

https://github.com/Lemma1/NGSIM-interface

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High-Resolution Traffic Sensing with Autonomous Vehicles

https://github.com/LeyuChen/L0-ERM

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High Dimensional Classification through $\ell_0$-Penalized Empirical Risk Minimization

https://github.com/Lili-Zheng-stat/TTOI

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Optimal High-order Tensor SVD via Tensor-Train Orthogonal Iteration

https://github.com/LittlePey/SFD

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Sparse Fuse Dense: Towards High Quality 3D Detection with Depth Completion

https://github.com/LorenzoRimella/GraphFilter-GraphSmoother

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Exploiting locality in high-dimensional factorial hidden Markov models

https://github.com/Luca96/affine-parametric-networks

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Improving Parametric Neural Networks for High-Energy Physics (and Beyond)

https://github.com/LuminosoInsight/conceptnet-vector-ensemble

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An Ensemble Method to Produce High-Quality Word Embeddings (2016)

https://github.com/LyuJ1998/HandTailor

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HandTailor: Towards High-Precision Monocular 3D Hand Recovery

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