CREMA-D
Emerging15papers using it
2022first seen
Papers using CREMA-D (15)
- Transforming The Embeddings: A Lightweight Technique For Speech Emotion Recognition TasksEnhancing Speech Emotion Recognition via Fine-Tuning Pre-Trained Models and Hyper-Parameter OptimisationA Novel Hybrid Deep Learning Technique for Speech Emotion Detection using Feature EngineeringExploring Multilingual Unseen Speaker Emotion Recognition: Leveraging Co-attention Cues In Multitask LearningTime Out Of Mind: Generating Rate Of Speech Conditioned On Emotion And SpeakerEmodiarize: Speaker Diarization And Emotion Identification From Speech Signals Using Convolutional Neural NetworksA Comparative Study of Pre-trained Speech and Audio Embeddings for
Speech Emotion RecognitionVesper: A Compact and Effective Pretrained Model for Speech Emotion
RecognitionTime out of Mind: Generating Rate of Speech conditioned on emotion and
speakerExploring Multilingual Unseen Speaker Emotion Recognition: Leveraging
Co-Attention Cues in Multitask LearningNon-Contrastive Self-Supervised Learning of Utterance-Level Speech
RepresentationsTransforming the Embeddings: A Lightweight Technique for Speech Emotion
Recognition TasksSELM: Enhancing Speech Emotion Recognition for Out-of-Domain ScenariosMulti-Scale Temporal Transformer For Speech Emotion RecognitionTopological Data Analysis for Speech Processing