7 citations · 15 across the 19 of their papers we have counts for
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eess.AS2023
Advancing Natural-Language Based Audio Retrieval with PaSST and Large Audio-Caption Data Sets
Paul Primus, Khaled Koutini, Gerhard Widmer
This work presents a text-to-audio-retrieval system based on pre-trained text and spectrogram transformers. Our method projects recordings and textual descriptions into a shared au…
eess.AS2023
On Frequency-Wise Normalizations for Better Recording Device Generalization in Audio Spectrogram Transformers
Paul Primus and, Gerhard Widmer
Varying conditions between the data seen at training and at application time remain a major challenge for machine learning. We study this problem in the context of Acoustic Scene C…