Low-Resource Music Genre Classification with Cross-Modal Neural Model Reprogramming-Reference-Cited by-同舟云学术

Low-Resource Music Genre Classification with Cross-Modal Neural Model Reprogramming

Published:2023-06-04 Issue: Volume: Page:
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Container-title:ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Hung Yun-Ning¹,Yang Chao-Han Huck¹,Chen Pin-Yu²,Lerch Alexander¹

Affiliation:

1. Georgia Institute of Technology,Atlanta,GA,USA

2. IBM Research,NY,USA

Publisher

IEEE

Link

Reference30 articles.

1. Comparison and analysis of deep audio embeddings for music emotion recognition;koh;AAAI-20 Workshop On Affective Content Analysis,2021

2. Do user preference data benefit music genre classification tasks?;liang;Mirex,2020

3. Adversarial reprogramming of neural networks;elsayed;Proc ICLR,2018

4. Codified audio language modeling learns useful representations for music information retrieval;castellon;Proc ISMIR,2021

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