CREMAD

CREMAD is a speech emotion recognition dataset used to evaluate the performance of models in identifying emotions from speech.

Papers using CREMAD (12)

Enhancing Speech Emotion Recognition via Fine-Tuning Pre-Trained Models and Hyper-Parameter Optimisation2025A Novel Hybrid Deep Learning Technique for Speech Emotion Detection using Feature Engineering2025An Ensemble 1D-CNN-LSTM-GRU Model with Data Augmentation for Speech Emotion Recognition2021 · 11 citesA Comparative Study of Pre-trained Speech and Audio Embeddings for Speech Emotion Recognition2023 · 3 citesVesper: A Compact and Effective Pretrained Model for Speech Emotion Recognition2023 · 3 citesTime out of Mind: Generating Rate of Speech conditioned on emotion and speaker2023 · 2 citesExploring Multilingual Unseen Speaker Emotion Recognition: Leveraging Co-Attention Cues in Multitask Learning2024 · 1 citesNon-Contrastive Self-Supervised Learning of Utterance-Level Speech Representations2022Transforming the Embeddings: A Lightweight Technique for Speech Emotion Recognition Tasks2023SELM: Enhancing Speech Emotion Recognition for Out-of-Domain Scenarios2024Multi-Scale Temporal Transformer For Speech Emotion Recognition2024Topological Data Analysis for Speech Processing2022