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Found 6 papers, 2 papers with code
Benchmarking Representations for Speech, Music, and Acoustic Events
Limited diversity in standardized benchmarks for evaluating audio representation learning (ARL) methods may hinder systematic comparison of current methods' capabilities.
Houston we have a Divergence: A Subgroup Performance Analysis of ASR Models
We identify subgroups of audio recordings based on combinations of these metadata and compute each subgroup's performance (e. g., Word Error Rate) and the difference in performance (''divergence'') w. r. t the overall population.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
MALTO at SemEval-2024 Task 6: Leveraging Synthetic Data for LLM Hallucination Detection
In Natural Language Generation (NLG), contemporary Large Language Models (LLMs) face several challenges, such as generating fluent yet inaccurate outputs and reliance on fluency-centric metrics.
Reconstructing Atmospheric Parameters of Exoplanets Using Deep Learning
Exploring exoplanets has transformed our understanding of the universe by revealing many planetary systems that defy our current understanding.
Explaining Speech Classification Models via Word-Level Audio Segments and Paralinguistic Features
Existing work focuses on a few spoken language understanding (SLU) tasks, and explanations are difficult to interpret for most users.
ITALIC: An Italian Intent Classification Dataset
Recent large-scale Spoken Language Understanding datasets focus predominantly on English and do not account for language-specific phenomena such as particular phonemes or words in different lects.
