Non-intrusive Intelligibility Prediction of Noise-suppressed Speech Based on Neural Network.
Fuqiang YeZexin LiuFei ChenPublished in: WOCC (2022)
Keyphrases
- neural network
- speech recognition
- prediction model
- signal to noise ratio
- noisy environments
- prediction accuracy
- linear prediction
- speech signal
- speech enhancement
- artificial neural networks
- noise reduction
- automatic speech recognition
- multi layer perceptron
- random noise
- prediction algorithm
- noise level
- background noise
- genetic algorithm
- predictive model
- recognition engine
- bp neural network
- image processing
- back propagation
- missing data
- neural network model
- neural nets
- additive noise
- image noise
- prediction error
- neural network ensemble
- hidden markov models
- wavelet transform
- general regression neural networks
- chaotic time series
- pattern recognition
- speech synthesis
- control system
- recurrent neural networks
- language model
- audio visual
- feed forward
- gaussian noise