Analysis of temporal aggregation and dimensionality reduction on feature sets for speaker identification in wireless acoustic sensor networks.
Alexandru NelusSebastian GergenRainer MartinPublished in: MMSP (2017)
Keyphrases
- sensor networks
- feature set
- underwater acoustic
- speaker identification
- feature extraction
- dimensionality reduction
- wireless sensor networks
- feature selection
- data streams
- classification accuracy
- feature vectors
- mobile devices
- energy consumption
- pattern recognition
- audio features
- principal component analysis
- sensor nodes
- routing protocol
- gaussian mixture model
- principal components
- noisy environments
- mel frequency cepstral coefficients
- data sets
- temporal aggregation