… the available bandwidth. Our testing results reveal that even a shallow neural network
identifies the available bandwidth with high precision. We also apply the neural network under a …

Estimating a wideband spectral envelope having only narrowband speech at hand is a
challenging task. In this paper, we explore ways to do so in the context of an artificial speech …

… deep neural network (DNN) approach to speech bandwidth expansion (BWE) by estimating
… In this paper, a deep neural network based framework of speech bandwidth expansion is …

… the available bandwidth. Our testing results reveal that even a shallow neural network
identifies the available bandwidth with high precision. We also apply the neural network under a …

… neural network (DNN)-based modeling of likelihoods or posteriors for ABE UB envelope
estimation. … Further analysis reveals that this is not due to a better shape of the estimated UB …

… future bandwidth can be estimated in advance, applications can leverage the estimation to
… In this paper, we focus on accurate bandwidth prediction to improve user QoE. Specifically, …

… For envelope estimation, they propose an enhanced envelope estimation method using a
deep neural network with multiple layers. For excitation estimation, they use a whitened NB …

… bandwidth can be estimated in advance, it will greatly improve the user QoE. In this paper,
we study realtime mobile bandwidth … (LSTM) recurrent neural network. In specific scenarios, …

… neural network, for estimating the available bandwidth. We also apply the neural network …
model-based technique, where our neural network approach shows improved performance. …

… with the remote state estimator design problem for a class of discrete neural networks
under communication bandwidth constraints. Due to the limited bandwidth of the transmission …