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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/plemeri/transparent-background

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Revisiting Image Pyramid Structure for High Resolution Salient Object Detection

https://github.com/pliang279/highmmt

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High-Modality Multimodal Transformer: Quantifying Modality & Interaction Heterogeneity for High-Modality Representation Learning

https://github.com/plroit/qasrl-gs

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Controlled Crowdsourcing for High-Quality QA-SRL Annotation

https://github.com/pnnl/DDKS

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Accelerated Computation of a High Dimensional Kolmogorov-Smirnov Distance

https://github.com/postech-ami/hdr-plenoxels

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HDR-Plenoxels: Self-Calibrating High Dynamic Range Radiance Fields

https://github.com/ppjmchen/ham

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Learning Point-Language Hierarchical Alignment for 3D Visual Grounding

https://github.com/pravin1390/FastHDFilter

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Fast High-Dimensional Bilateral and Nonlocal Means Filtering

https://github.com/princeton-computational-imaging/gensdf

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GenSDF: Two-Stage Learning of Generalizable Signed Distance Functions

https://github.com/project-basileus/multitype-sequence-generation-by-tlstm-gan

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Generating Multi-type Temporal Sequences to Mitigate Class-imbalanced Problem

https://github.com/ptrunschke/tensor_option_pricing

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Pricing high-dimensional Bermudan options with hierarchical tensor formats

https://github.com/pytorch/benchmark

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TorchBench: Benchmarking PyTorch with High API Surface Coverage

https://github.com/pytorch/fbgemm

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FBGEMM: Enabling High-Performance Low-Precision Deep Learning Inference

https://github.com/pytorch/pytorch

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PyTorch: An Imperative Style, High-Performance Deep Learning Library

https://github.com/qcri/deepemotion

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Efficient Arabic emotion recognition using deep neural networks

https://github.com/qqlu/Entity/tree/main/Entityv2

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High-Quality Entity Segmentation

https://github.com/quan-zhou/fairness-in-two-sided-markets

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Subgroup Fairness in Two-Sided Markets

https://github.com/raduionescu/pynada

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Non-linear Neurons with Human-like Apical Dendrite Activations

https://github.com/raed19/cultural-aware

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Cultural-aware Machine Learning based Analysis of COVID-19 Vaccine Hesitancy

https://github.com/raghavian/strided-tenet

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Segmenting two-dimensional structures with strided tensor networks

https://github.com/rajathpatel23/joint-kge-fnet-lm

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On the Complementary Nature of Knowledge Graph Embedding, Fine Grain Entity Types, and Language Modeling

https://github.com/ralfoan/Detection-of-high-density-anomalies

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Algorithmic Frameworks for the Detection of High Density Anomalies

https://github.com/ramhiser/paper-hdrda

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High-Dimensional Regularized Discriminant Analysis

https://github.com/raoyongming/hornet

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HorNet: Efficient High-Order Spatial Interactions with Recursive Gated Convolutions

https://github.com/raspberryice/type-discovery-abs

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Open Relation and Event Type Discovery with Type Abstraction

https://github.com/rballester/ttpca

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Visualization of High-dimensional Scalar Functions Using Principal Parameterizations

https://github.com/reczoo/RecZoo/tree/main/ranking/ctr/FinalMLP

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FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction

https://github.com/renato145/3D-ORGAN

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3D Reconstruction of Incomplete Archaeological Objects Using a Generative Adversarial Network

https://github.com/researchmm/AOT-GAN-for-Inpainting

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Aggregated Contextual Transformations for High-Resolution Image Inpainting

https://github.com/researchmm/PEN-Net-for-Inpainting

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Learning Pyramid-Context Encoder Network for High-Quality Image Inpainting

https://github.com/rfww/IDET

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IDET: Iterative Difference-Enhanced Transformers for High-Quality Change Detection

https://github.com/rhythmcao/unsup-two-stage-semantic-parsing

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Unsupervised Dual Paraphrasing for Two-stage Semantic Parsing

https://github.com/ricfrr/mpuc-mer

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Multimodal Emotion Recognition with Modality-Pairwise Unsupervised Contrastive Loss

https://github.com/richardobi/medigan

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High-resolution synthesis of high-density breast mammograms: Application to improved fairness in deep learning based mass detection

https://github.com/ristea/septr

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SepTr: Separable Transformer for Audio Spectrogram Processing

https://github.com/rizbicki/FlexCoDE

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Converting High-Dimensional Regression to High-Dimensional Conditional Density Estimation

https://github.com/rjavadi/social-signal-project

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The Many Faces of Anger: A Multicultural Video Dataset of Negative Emotions in the Wild (MFA-Wild)

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