ICA of Noisy Music Audio Mixtures Based on Iterative Shrinkage Denoising and FastICA Using Rational Nonlinearities.
Xuansen HeTao ZhuPublished in: Circuits Syst. Signal Process. (2014)
Keyphrases
- denoising
- source separation
- audio features
- audio signals
- music information retrieval
- image denoising
- music score
- music scores
- music genre classification
- independent component analysis
- audio visual
- audio signal
- total variation
- noisy images
- music retrieval
- wavelet shrinkage
- natural images
- wavelet domain
- independent components
- soft thresholding
- image processing
- audio content
- blind source separation
- audio recordings
- automatic music genre classification
- digital audio
- denoising algorithm
- signal processing
- audio files
- genre classification
- speech music discrimination
- musical instruments
- visual features
- inverse scale space
- blind separation
- multimedia
- music collections
- feature set
- polyphonic music
- removing noise
- noisy environments
- noise removal
- source signals
- digital music
- denoising methods
- wavelet denoising
- computer vision
- content based music retrieval
- acoustic features
- speaker identification
- basis pursuit
- spatial domain
- shrinkage functions
- expectation maximization