Paper-Conference

A Contrastive Learning Approach to Mitigate Bias in Speech Models
Ainur: Harmonizing Speed And Quality In Deep Music Generation through Lyrics-audio Embeddings
Explaining speech classification models via word-level audio segments and paralinguistic features
Leveraging confidence models for identifying challenging data subgroups in speech models
MAINDZ at SemEval-2024 Task 5: CLUEDO-Choosing Legal oUtcome by Explaining Decision through Oversight
Prioritizing Data Acquisition For End-to-End Speech Model Improvement
A Hierarchical Approach to Anomalous Subgroup Discovery
Beyond One-Hot-Encoding: Injecting Semantics to Drive Image Classifiers
Exploring subgroup performance in end-to-end speech models