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Diversity and bias in audio captioning datasets
In addition, the richness of natural language allows a range of possible descriptions for the same acoustic scene.
What is the ground truth? Reliability of multi-annotator data for audio tagging
Crowdsourcing has become a common approach for annotating large amounts of data.
On the performance of residual block design alternatives in convolutional neural networks for end-to-end audio classification
The purpose of this paper is to analyze and discuss the performance of several residual block implementations within a state-of-the-art CNN-based architecture for end-to-end audio classification using raw audio waveforms.
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