4 citations · 5 across the 2 of their papers we have counts for
3 papers
cs.SD2021★ 4 cited
AudioCLIP: Extending CLIP to Image, Text and Audio
Andrey Guzhov, Federico Raue, Jörn Hees +1
In the past, the rapidly evolving field of sound classification greatly benefited from the application of methods from other domains. Today, we observe the trend to fuse domain-spe…
cs.SD2021
ESResNe(X)t-fbsp: Learning Robust Time-Frequency Transformation of Audio
Andrey Guzhov, Federico Raue, Jörn Hees +1
Environmental Sound Classification (ESC) is a rapidly evolving field that recently demonstrated the advantages of application of visual domain techniques to the audio-related tasks…
cs.CV2020★ 1 cited
ESResNet: Environmental Sound Classification Based on Visual Domain Models
Andrey Guzhov, Federico Raue, Jörn Hees +1
Environmental Sound Classification (ESC) is an active research area in the audio domain and has seen a lot of progress in the past years. However, many of the existing approaches a…