A Coherence-based Clustering Method for Multichannel Speech Enhancement in Wireless Acoustic Sensor Networks.
Antonio Jesús Muñoz-MontoroPedro Vera-CandeasMads Græsbøll ChristensenPublished in: EUSIPCO (2021)
Keyphrases
- clustering method
- sensor networks
- speech enhancement
- single channel
- underwater acoustic
- multi channel
- network connectivity
- visual sensor networks
- linear prediction
- sound source
- mobile wireless
- mobile nodes
- mac protocol
- wireless sensor networks
- wireless communication
- sensor data
- data gathering
- sensor nodes
- noisy environments
- wireless networks
- multi hop
- energy efficient
- resource constrained
- frequency domain
- clustering algorithm
- noise reduction
- cluster analysis
- signal to noise ratio
- energy consumption
- base station
- wiener filter
- routing protocol
- mobile ad hoc networks
- wavelet decomposition
- k means
- data streams
- brain activity
- communication cost
- independent component analysis
- lossless compression
- image coding
- background noise
- speech signal
- signal processing
- motion estimation
- optical flow
- data mining