Papers with Code 아카이브
Speech Emotion Recognition
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 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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https://github.com/xianghenghe/Improved_StarGAN_Emotional_Voice_Conversion
공식 코드An Improved StarGAN for Emotional Voice Conversion: Enhancing Voice Quality and Data Augmentation
https://github.com/xiaomanluo/ripwPaper
공식 코드Design-Robust Two-Way-Fixed-Effects Regression For Panel Data
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https://github.com/xingyizhou/CenterNet2
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https://github.com/xufangzhi/taco
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공식 코드Progressive and Selective Fusion Network for High Dynamic Range Imaging
https://github.com/yashsharma/mani
공식 코드MaNi: Maximizing Mutual Information for Nuclei Cross-Domain Unsupervised Segmentation
https://github.com/yc-li20/Crossmodal_AEC
공식 코드https://github.com/yc-li20/SER-on-WER-and-Fusion
공식 코드https://github.com/yeeeqichen/fits
공식 코드FiTs: Fine-grained Two-stage Training for Knowledge-aware Question Answering
https://github.com/yehudit96/coreferrability
공식 코드https://github.com/yehudit96/event_entity_coref_ecb_plus
공식 코드https://github.com/yeonsw/squid
공식 코드https://github.com/yi94code/HRSOD
공식 코드https://github.com/yilingchung/multilingualcn-classification
공식 코드https://github.com/yingqinghe/lvdm
공식 코드Latent Video Diffusion Models for High-Fidelity Long Video Generation
https://github.com/yinwenpeng/FEVER
공식 코드TwoWingOS: A Two-Wing Optimization Strategy for Evidential Claim Verification
https://github.com/yiqun-wang/hfs
공식 코드HF-NeuS: Improved Surface Reconstruction Using High-Frequency Details
https://github.com/yizhiwang96/deepvecfont
공식 코드DeepVecFont: Synthesizing High-quality Vector Fonts via Dual-modality Learning
https://github.com/yjxiong/caffe
공식 코드https://github.com/yk-pku/two-shot-video-object-segmentation
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공식 코드Unsupervised Discretization by Two-dimensional MDL-based Histogram
https://github.com/yoda-lab/simple-incentives-for-ridesharing
공식 코드Using Simple Incentives to Improve Two-Sided Fairness in Ridesharing Systems
https://github.com/yongaifadian1/Dynamic-Parameter-Memory_DPM
공식 코드https://github.com/yongcaoplus/probingchatgpt
공식 코드Assessing Cross-Cultural Alignment between ChatGPT and Human Societies: An Empirical Study
https://github.com/yqx7150/HFDAEP
공식 코드Learning Priors in High-frequency Domain for Inverse Imaging Reconstruction
https://github.com/yqx7150/hgm
공식 코드High-dimensional Assisted Generative Model for Color Image Restoration
https://github.com/yrf1/normsage
공식 코드NormSAGE: Multi-Lingual Multi-Cultural Norm Discovery from Conversations On-the-Fly
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.