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. (Contributor), Yu, Guoshen (Author) |
---|---|
Other Authors: | Massachusetts Institute of Technology. Department of Mechanical Engineering (Contributor) |
Format: | Article |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers (IEEE),
2012-10-31T20:52:23Z.
|
Subjects: | |
Online Access: | Get fulltext |
Similar Items
-
Visual Grouping by Neural Oscillator Networks
by: Yu, Guoshen, et al.
Published: (2010) -
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) -
Classification Epileptic Seizures in EEG Using Time-Frequency Image and Block Texture Features
by: Mingyang Li, et al.
Published: (2020-01-01) -
Audio Source Separation by Time-frequency Masking
by: Nesbit, Andrew Luke
Published: (2008)