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

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...

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Veröffentlicht in:	IEEE/ACM transactions on audio, speech, and language processing speech, and language processing, 2020, Vol.28, p.2880-2894
Hauptverfasser:	Kong, Qiuqiang, Cao, Yin, Iqbal, Turab, Wang, Yuxuan, Wang, Wenwu, Plumbley, Mark D.
Format:	Artikel
Sprache:	eng
Schlagworte:	Acoustics Artificial neural networks Audio tagging Classification Computer vision Convolution Datasets Machine learning Marking Music Natural language processing Neural networks Pattern recognition pretrained audio neural networks Source code Tagging Task analysis Task complexity Training transfer learning Waveforms
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