Audio classification from time-frequency texture
Time-frequency representations of audio signals often resemble texture images. This paper derives a simple audio classification algorithm based on treating sound spectrograms as texture images. The algorithm is inspired by an earlier visual classification scheme particularly efficient at classifying...
Main Authors: | Slotine, Jean-Jacques E., Yu, Guoshen |
---|---|
Other Authors: | Massachusetts Institute of Technology. Department of Mechanical Engineering |
Format: | Article |
Language: | en_US |
Published: |
Institute of Electrical and Electronics Engineers (IEEE)
2012
|
Online Access: | http://hdl.handle.net/1721.1/74538 https://orcid.org/0000-0002-7161-7812 |
Similar Items
-
Visual Grouping by Neural Oscillator Networks
by: Yu, Guoshen, et al.
Published: (2010) -
COVID-19 respiratory sound analysis and classification using audio textures
by: Leticia Silva, et al.
Published: (2022-10-01) -
Time-frequency analysis of audio signals
by: Htet Aung Win Tin
Published: (2014) -
Audio Signal Processing Using Time-Frequency Approaches: Coding, Classification, Fingerprinting, and Watermarking
by: K. Umapathy, et al.
Published: (2010-01-01) -
Audio Signal Processing Using Time-Frequency Approaches: Coding, Classification, Fingerprinting, and Watermarking
by: Umapathy K, et al.
Published: (2010-01-01)