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The model and language bindings have been fully implemented.
Acoustic stability [38] refers to stability of the recognition result given different weightings of the acoustic model and language model scores.
The proposed TV and MTV language recognition systems contain three main processes, spectral feature extraction, total factor vector extraction, SVM model and language score calibration.
On training/development data, the WL-ATWV-Kaldi system is biased towards these data (in terms of acoustic model and language model training), and hence better performance is obtained.
This system is the same as the previous one (DD Kaldi) except that the training data provided by the organizers were not employed for acoustic model and language model training.
Towards a unifying model of concurrency, we have designed and implemented LMNtal (pronounced "elemental"), a model and language based on hierarchical graph rewriting that uses logical variables to represent connectivity and membranes to represent hierarchy.
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Our contributions are in five areas, namely tracking, features, signer dependency, visual modelling and language modelling.
These rates are obtained by using non-native triphone acoustic models and language models with filled pause loops.
Mappings between models and languages are essential to support model driven approaches to software development.
Automated translation of models and languages across the different disciplines is created with the IDN.
The properties of models and languages required for the interpretations of the real domains and the proof obligations are identified.
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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