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About Applied Sciences: Deep Learning For Audio Event Detection and Tagging On Low-Resource Datasets
The document discusses factorizing the task of audio event transcription into simpler intermediate tasks to improve training when datasets have limited resources. It proposes training networks for audio event detection, audio tagging, and full transcription. Three training approaches are evaluated: training the intermediate tasks independently or jointly through multi-task learning. Results show different methods have advantages depending on the dataset and goals.
Detailed Information
| Author: | ['yimohic486'] |
|---|---|
| Publication Year: | 2019 |
| Pages: | 16 |
| Language: | English |
| Format: | |
| Price: | FREE |
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