Inaudible Speech Watermarking Based on Self-compensated Echo-hiding and Sparse Subspace Clustering.
Shengbei WangWeitao YuanJianming WangMasashi UnokiPublished in: ICASSP (2019)
Keyphrases
- subspace clustering
- high dimensional
- high dimensional data
- subspace clusters
- clustering method
- clustering high dimensional data
- high dimensional feature spaces
- sparse representation
- clustering algorithm
- speech recognition
- subspace projections
- dimensionality reduction
- subspace projection
- high dimensionality
- speech signal
- database
- clustering approaches
- watermarking scheme
- data analysis
- subgraph mining
- low dimensional spaces
- dense regions
- nearest neighbor
- data mining
- neural network