The effect of augmentation and filtration on noisy environment's acoustic signals to detect abnormalities in industrial machines based on artificial neural networks.
Ahmad QurthobiRytis MaskeliunasPublished in: ANT/EDI40 (2023)
Keyphrases
- noisy environments
- artificial neural networks
- acoustic signals
- acoustic signal
- noise reduction
- speech recognition
- neural network
- speaker verification
- industrial applications
- back propagation
- detection algorithm
- computational intelligence
- multilayer perceptron
- background noise
- medical images
- speech enhancement
- automatic speech recognition
- using artificial neural networks
- genetic algorithm
- speech signal
- detection method
- pattern recognition
- frequency domain
- multiresolution
- voice activity detection