PANNs: Large-Scale Pretrained Audio Neural Networks for Audio Pattern Recognition
University of Surrey · Qingdao University of Science and Technology
Abstract
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…
Citation impact
- FWCI
- 76.13
- Percentile
- 100%
- References
- 80
Authors
6Topics & keywords
- Computer science
- Convolutional neural network
- Speech recognition
- Spectrogram
- Audio mining
- Pattern recognition (psychology)
- Artificial intelligence
- Feature (linguistics)
- Quality Education