Published September 1, 2016 | Version v1
Video/Audio Open

Semi-Supervised Active Learning for Sound Classification in Hybrid Learning Environments

Authors/Creators

  • 1. Language Computing Lab, Samsung R&D Institute of China - Beijing
  • 2. Department of Computing, Imperial College London, London, U.K.
  • 3. Department of Computer Science and Technology, Tsinghua University, Beijing, China
  • 4. School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China
  • 5. Complex Systems Engineering, University of Passau, Germany

Description

There are 16,930 sound instances in our database with durations ranging 242 from 1 to 10 seconds, which correspond to (approximately) 15 hours of environmental 243 sounds. All sound files were converted into raw 16 bit encoding, mono-channel, and 16 244 kHz sampling rate, as various formats and rates were used in the original versions 245 retrieved from the web.

Files

findsounds.zip

Files (898.4 MB)

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