Your English writing platform
Discover LudwigSuggestions(4)
Exact(3)
Next, a state-of-the-art maximum likelihood (ML) acoustic model training strategy was employed.
Thirteen-dimensional PLP coefficients were used as acoustic features, and a state-of-the-art maximum likelihood (ML) acoustic model training strategy was employed.
Hence an ANN model training strategy is designed in order to reduce the main uncertainty source: models are trained for many runs with random model parameter initializations and the model with the best performance is adopted.
Similar(57)
Then, the sequential relationship in a sequential-reactor process can be captured by a global sequential LSSVR model using an efficient training strategy.
The ANN model was constructed by applying a two-fold strategy namely model training and model validation, respectively.
We evaluate the performance of the Depth CNN model with different training strategies on the NLPR dataset.
The second one is the model uncertainty due to the randomized training strategy.
Thereby, we give an overview of promising auditory modelling concepts, speech enhancement techniques, training strategies, and model architecture, which are implemented in an in-car digit and spelling recognition task considering noises produced by various car types and driving conditions.
The basic idea of the layer-wise training strategy is to train the HDLA model one layer at a time, starting from the first layer.
Resource allocation strategies were applied to generating phenotypic data for model training.
This layer-wise training strategy is extended by the proposed HDLA to learn the model parameters.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com