Recurrent type-2 fuzzy neural network using Haar wavelet energy and entropy features for speech detection in noisy environments.
Chiu-Chuan TuChia-Feng JuangPublished in: Expert Syst. Appl. (2012)
Keyphrases
- noisy environments
- fuzzy neural network
- speech recognition
- voice activity detection
- haar wavelet
- speech signal
- noise reduction
- speaker identification
- speech enhancement
- automatic speech recognition
- neural network
- input output
- feature space
- pattern recognition
- feature extraction
- neuro fuzzy
- machine learning
- fuzzy rules
- image processing