Stochastic Filter Techniques in Combination with Sliding Mode Differentiators as the Basis for a Reliable Neural Network-Based Recognition of Phonemes in Speech Signals.
Andreas RauhMatthew SchmidtSusann TiedeCornelia KlenkePublished in: ECC (2018)
Keyphrases
- speech signal
- automatic speech recognition systems
- sliding mode
- speech recognition
- noisy environments
- automatic speech recognition
- speech sounds
- non stationary
- sliding mode control
- vocal tract
- stability analysis
- variable structure
- pattern recognition
- control strategy
- hidden markov models
- noise reduction
- speech enhancement
- robot manipulators
- neural network
- feature extraction
- real time
- sound source
- control law
- noisy images
- computer vision
- machine learning