Conformer-Based Self-Supervised Learning For Non-Speech Audio Tasks-Reference-Cited by-同舟云学术

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Conformer-Based Self-Supervised Learning For Non-Speech Audio Tasks

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:

Srivastava Sangeeta¹,Wang Yun²,Tjandra Andros²,Kumar Anurag³,Liu Chunxi²,Singh Kritika²,Saraf Yatharth²

Affiliation:

1. The Ohio State University,USA

2. Meta AI,USA

3. Reality Labs Research,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9745891/9746004/09746490.pdf?arnumber=9746490

Reference37 articles.

1. AST: Audio Spectrogram Transformer

2. PSLA: Improving audio event classification with pretraining, sampling, labeling, and aggregation;gong,2021

3. Multimodal self-supervised learning of general audio representations;wang,2021

4. Self-supervised multimodal versatile networks;alayrac;NeurIPS,2020

5. Contrastive learning of musical representations;spijkervet,2021

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Self-Supervised Audio Teacher-Student Transformer for Both Clip-Level and Frame-Level Tasks;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2024

2. Environmental Sound Classification Based on CNN Latent Subspaces;2022 International Workshop on Acoustic Signal Enhancement (IWAENC);2022-09-05

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