Clustering and suppression of transient noise in speech signals using diffusion maps.
Ronen TalmonIsrael CohenSharon GannotPublished in: ICASSP (2011)
Keyphrases
- speech signal
- diffusion maps
- noisy environments
- background noise
- speech enhancement
- speech recognition
- dimensionality reduction
- manifold learning
- noise reduction
- clustering algorithm
- automatic speech recognition
- nonlinear dimensionality reduction
- high dimensional data
- automatic speech recognition systems
- vocal tract
- non stationary
- low dimensional
- hidden markov models
- edge detection
- data points
- action classification
- speech quality
- signal to noise ratio
- statistical learning
- semi supervised
- spectral analysis
- k means
- data sets
- noise model
- knn
- data mining