作者
Qiuqiang Kong, Yin Cao, Turab Iqbal, Yuxuan Wang, Wenwu Wang, Mark D Plumbley
发表日期
2020/10/19
期刊
IEEE/ACM Transactions on Audio, Speech, and Language Processing
卷号
28
页码范围
2880-2894
出版商
IEEE
简介
Audio pattern recognition is an important research topic in the machine learning area, and includes several tasks such as audio tagging, acoustic scene classification, music classification, speech emotion classification and sound event detection. Recently, neural networks have been applied to tackle audio pattern recognition problems. However, previous systems are built on specific datasets with limited durations. Recently, in computer vision and natural language processing, systems pretrained on large-scale datasets have generalized well to several tasks. However, there is limited research on pretraining systems on large-scale datasets for audio pattern recognition. In this paper, we propose pretrained audio neural networks (PANNs) trained on the large-scale AudioSet dataset. These PANNs are transferred to other audio related tasks. We investigate the performance and computational complexity of PANNs …
学术搜索中的文章
Q Kong, Y Cao, T Iqbal, Y Wang, W Wang… - IEEE/ACM Transactions on Audio, Speech, and …, 2020