A machine learning approach for computationally and energy efficient speech enhancement in binaural hearing aids.
David AyllónRoberto Gil-PitaManuel Rosa-ZureraPublished in: ICASSP (2016)
Keyphrases
- energy efficient
- hearing aids
- speech enhancement
- noise reduction
- speech signal
- wireless sensor networks
- sound source
- noisy environments
- signal to noise ratio
- energy consumption
- single channel
- sensor networks
- linear prediction
- spectral subtraction
- vocal tract
- base station
- edge preserving
- automatic speech recognition
- energy efficiency
- transfer function
- speech recognition
- smoothing algorithm
- routing protocol
- background noise
- wiener filter
- edge detection
- sensor nodes
- additive noise
- computer vision
- non stationary
- machine learning