PofoliaShared via Pofolia

IEEE/ACM Transactions on Audio Speech and Language Processing· 2020Q1

PANNs: Large-Scale Pretrained Audio Neural Networks for Audio Pattern Recognition

Qiuqiang Kong, Yin Cao, Turab Iqbal, Yuxuan Wang et al.

Short summary

Pretrained Audio Neural Networks (PANNs) trained on the large-scale AudioSet dataset achieve state-of-the-art performance on audio pattern recognition tasks, with the best system reaching a 0.439 mAP on AudioSet tagging, surpassing the previous best of 0.392.

AI-generated from the title and abstract; the full text is not read.

TakeawaysIn the app
Key pointsIn the app
Ask the paperIn the app

The rest is in the Pofolia app

Takeaways, key points and questions to the paper; new summaries every day for your field. Free.

Sign in on the web to open

Field: Signal Processing

Signal ProcessingComputer Science