3 papers
eess.AS2026
Deriving Benchmarking Datasets from Long-Form Recordings: Challenges and Opportunities
Kaveri K. Sheth, Lawrence Borst, Tarek Kunze +6
Long-form recordings (LFRs) of child-centered audio are ecologically valid sources for studying early language development, but three problems limit their use. First, LFR corpora a…
eess.AS2024
Text-based Audio Retrieval by Learning from Similarities between Audio Captions
Huang Xie, Khazar Khorrami, Okko Räsänen +1
This paper proposes to use similarities of audio captions for estimating audio-caption relevances to be used for training text-based audio retrieval systems. Current audio-caption…
eess.AS2024
Integrating Continuous and Binary Relevances in Audio-Text Relevance Learning
Huang Xie, Khazar Khorrami, Okko Räsänen +1
Audio-text relevance learning refers to learning the shared semantic properties of audio samples and textual descriptions. The standard approach uses binary relevances derived from…