- What is DNN in speech recognition?
- Can neural networks be used for speech recognition?
- What is the role of deep neural network in speech enhancement a review?
- What are the speech enhancement techniques?
What is DNN in speech recognition?
Deep neural networks (DNNs) have gained remarkable success in speech recognition, partially attributed to the flexibility of DNN models in learning complex patterns of speech signals.
Can neural networks be used for speech recognition?
Artificial neural networks (ANN) have become the mainstream acoustic modeling technique for large vocabulary automatic speech recognition (ASR).
What is the role of deep neural network in speech enhancement a review?
DNN plays a major role in speech enhancement by creating a model with a large amount of training data and the performance of the enhanced speech is evaluated using certain performance metrics. Content may be subject to copyright. evaluated using certain performance metrics.
What are the speech enhancement techniques?
A number of speech enhancement techniques have been reported in the literature [32]. They include spectral subtraction [33, 34, 41], Wiener and Kalman filtering [35], MMSE estimation [36], comb filtering [32], subspace methods [37, 38], and phase spectrum compensation [39, 40].