Study of Positional Encoding Approaches for Audio Spectrogram Transformers-Reference-Cited by-同舟云学术

Study of Positional Encoding Approaches for Audio Spectrogram Transformers

Published:2022-05-23 Issue: Volume: Page:
ISSN:
Container-title:ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Pepino Leonardo¹,Riera Pablo¹,Ferrer Luciana¹

Affiliation:

1. CONICET-UBA,Instituto de Investigación en Ciencias de la Computación (ICC),Argentina

Funder

Google

Publisher

IEEE

Link

Reference30 articles.

3. Audio transformers: Transformer architectures for large scale audio understanding. adieu convolutions;verma,2021

4. Conditional positional encodings for vision transformers;chu,2021

5. Roformer: Enhanced transformer with rotary position embedding;su,2021

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