Emo-DB

Emo-DB is a speech emotion dataset that contains recordings of German speech used to evaluate Speech Emotion Recognition (SER) systems.

Papers using Emo-DB (8)

Leveraging Cross-Attention Transformer and Multi-Feature Fusion for Cross-Linguistic Speech Emotion Recognition2025 · 2 citesA Novel Hybrid Deep Learning Technique for Speech Emotion Detection using Feature Engineering2025Speech Emotion Recognition Via CNN-Transformer and Multidimensional Attention Mechanism2024 · 7 citesA Comparative Study of Pre-trained Speech and Audio Embeddings for Speech Emotion Recognition2023 · 3 citesExploring Multilingual Unseen Speaker Emotion Recognition: Leveraging Co-Attention Cues in Multitask Learning2024 · 1 citesMultitask Learning from Augmented Auxiliary Data for Improving Speech Emotion Recognition2022PCQ: Emotion Recognition in Speech via Progressive Channel Querying2024Enhanced Speech Emotion Recognition with Efficient Channel Attention Guided Deep CNN-BiLSTM Framework2024