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Speech Emotion Recognition
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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
논문
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SER Evals: In-domain and Out-of-domain Benchmarking for Speech Emotion Recognition
Audio Enhancement for Computer Audition -- An Iterative Training Paradigm Using Sample Importance
Conditioning LLMs with Emotion in Neural Machine Translation
Describe Where You Are: Improving Noise-Robustness for Speech Emotion Recognition with Text Description of the Environment
EMO-Codec: An In-Depth Look at Emotion Preservation capacity of Legacy and Neural Codec Models With Subjective and Objective Evaluations
PCQ: Emotion Recognition in Speech via Progressive Channel Querying
BSC-UPC at EmoSPeech-IberLEF2024: Attention Pooling for Emotion Recognition
MSP-Podcast SER Challenge 2024: L'antenne du Ventoux Multimodal Self-Supervised Learning for Speech Emotion Recognition
A Layer-Anchoring Strategy for Enhancing Cross-Lingual Speech Emotion Recognition
Are you sure? Analysing Uncertainty Quantification Approaches for Real-world Speech Emotion Recognition
Breaking Resource Barriers in Speech Emotion Recognition via Data Distillation
Double Multi-Head Attention Multimodal System for Odyssey 2024 Speech Emotion Recognition Challenge
Speech Emotion Recognition Using CNN and Its Use Case in Digital Healthcare
What Does it Take to Generalize SER Model Across Datasets? A Comprehensive Benchmark
Exploring Multilingual Unseen Speaker Emotion Recognition: Leveraging Co-Attention Cues in Multitask Learning
Exploring Self-Supervised Multi-view Contrastive Learning for Speech Emotion Recognition with Limited Annotations
Speech Emotion Recognition with ASR Transcripts: A Comprehensive Study on Word Error Rate and Fusion Techniques
EmoBox: Multilingual Multi-corpus Speech Emotion Recognition Toolkit and Benchmark
ExHuBERT: Enhancing HuBERT Through Block Extension and Fine-Tuning on 37 Emotion Datasets
INTERSPEECH 2009 Emotion Challenge Revisited: Benchmarking 15 Years of Progress in Speech Emotion Recognition
Enrolment-based personalisation for improving individual-level fairness in speech emotion recognition
Emo-bias: A Large Scale Evaluation of Social Bias on Speech Emotion Recognition
BLSP-Emo: Towards Empathetic Large Speech-Language Models
Multi-Microphone Speech Emotion Recognition using the Hierarchical Token-semantic Audio Transformer Architecture
Unveiling Hidden Factors: Explainable AI for Feature Boosting in Speech Emotion Recognition
1st Place Solution to Odyssey Emotion Recognition Challenge Task1: Tackling Class Imbalance Problem
Iterative Feature Boosting for Explainable Speech Emotion Recognition
Crossmodal ASR Error Correction with Discrete Speech Units
Fine-grained Speech Sentiment Analysis in Chinese Psychological Support Hotlines Based on Large-scale Pre-trained Model
Adapting WavLM for Speech Emotion Recognition
Toward end-to-end interpretable convolutional neural networks for waveform signals
GMP-TL: Gender-augmented Multi-scale Pseudo-label Enhanced Transfer Learning for Speech Emotion Recognition
Converting Anyone's Voice: End-to-End Expressive Voice Conversion with a Conditional Diffusion Model
Active Learning with Task Adaptation Pre-training for Speech Emotion Recognition
A Systematic Evaluation of Adversarial Attacks against Speech Emotion Recognition Models
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