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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.

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A Century of Portraits: A Visual Historical Record of American High School Yearbooks

https://github.com/katiana22/GDM-PCE

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Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models

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Low to High Dimensional Modality Hallucination using Aggregated Fields of View

https://github.com/keikinn/meltdataset

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MELT: Towards Automated Multimodal Emotion Data Annotation by Leveraging LLM Embedded Knowledge

https://github.com/keivanB/Clarkson_Finger_Gen

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High Fidelity Fingerprint Generation: Quality, Uniqueness, and Privacy

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A Proposal for an Interactive Shell Based on a Typed Lambda Calculus

https://github.com/kellyiss/situformer

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Rethinking the Two-Stage Framework for Grounded Situation Recognition

https://github.com/kennyvoo/face-occlusion-generation

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Delving into High-Quality Synthetic Face Occlusion Segmentation Datasets

https://github.com/kennyvoo/face_occlusion_generation

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Delving into High-Quality Synthetic Face Occlusion Segmentation Datasets

https://github.com/kewok/spegg

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sPEGG: high throughput eco-evolutionary simulations on commodity graphics processors

https://github.com/khalil-research/neur2sp

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Neur2SP: Neural Two-Stage Stochastic Programming

https://github.com/kimy-de/fcnn

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Learning finite difference methods for reaction-diffusion type equations with FCNN

https://github.com/kingsaint/Open-vocabulary-entity-type-description

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Generating Fine-Grained Open Vocabulary Entity Type Descriptions

https://github.com/kinyugo/msanii

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Msanii: High Fidelity Music Synthesis on a Shoestring Budget

https://github.com/kirthevasank/local-poly-reg

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Additive Approximations in High Dimensional Nonparametric Regression via the SALSA

https://github.com/kirthevasank/salsa

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Additive Approximations in High Dimensional Nonparametric Regression via the SALSA

https://github.com/kjy7567/speech_emotion_recognition_from_log_Mel_spectrogram_using_vertically_long_patch

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Accuracy enhancement method for speech emotion recognition from spectrogram using temporal frequency correlation and positional information learning through knowledge transfer

https://github.com/kkkls/fftformer

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Efficient Frequency Domain-based Transformers for High-Quality Image Deblurring

https://github.com/klusta-team/klustakwik

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High-dimensional cluster analysis with the Masked EM Algorithm

https://github.com/kmccurdy/w2v-gender

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Grammatical gender associations outweigh topical gender bias in crosslinguistic word embeddings

https://github.com/kobeshegu/eccv2022_wavegan

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WaveGAN: Frequency-aware GAN for High-Fidelity Few-shot Image Generation

https://github.com/konstantinosKokos/Lassy-TLG-Supertagging

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Constructive Type-Logical Supertagging with Self-Attention Networks

https://github.com/kpandey008/DiffuseVAE

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DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents

https://github.com/krshay/MTD-2D

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Two-dimensional multi-target detection: an autocorrelation analysis approach

https://github.com/krshay/mtd-2d-em

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An approximate expectation-maximization for two-dimensional multi-target detection

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SportsSum2.0: Generating High-Quality Sports News from Live Text Commentary

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LassoBench: A High-Dimensional Hyperparameter Optimization Benchmark Suite for Lasso

https://github.com/kuhnkeF/ABAW2020TNT

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Two-Stream Aural-Visual Affect Analysis in the Wild

https://github.com/kuielab/mdx-net

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KUIELab-MDX-Net: A Two-Stream Neural Network for Music Demixing

https://github.com/kwotsin/mimicry

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Exploring The Effect of High-frequency Components in GANs Training

https://github.com/l294265421/SIGIR22-TOWE

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Training Entire-Space Models for Target-oriented Opinion Words Extraction

https://github.com/laurenceyang33/cellgoal

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Estimating Cellular Goals from High-Dimensional Biological Data

https://github.com/lclarte/uncertainty-project

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Theoretical characterization of uncertainty in high-dimensional linear classification

https://github.com/lei-wang-github/DeepPS2

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DeepPS2: Revisiting Photometric Stereo Using Two Differently Illuminated Images

https://github.com/leitro/labeladaptivemixup-ser

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Learning Robust Self-attention Features for Speech Emotion Recognition with Label-adaptive Mixup

https://github.com/lemire/lbimproved

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Faster Retrieval with a Two-Pass Dynamic-Time-Warping Lower Bound

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