Sentence examples for model adaptation and from inspiring English sources

Common ways to alleviate the long-term impact on performance degradation are enrollment data augmentation, speaker model adaptation, and adapted verification thresholds.

In this contribution, adaptive knowledge modeling is extended by measures for detecting the need for model adaptation and identifying the potential starting points of necessary model change as well as by an approach for applying such change.

To solve this problem, there have been many studies carried out on feature extraction, model adaptation, and decoding.

This work presents an integrated approach to optimal model adaptation and dynamic optimisation, with specific focus on batch processes.

Because of this, the results on acoustic model adaptation and feature transformations are presented only for the detector topology (similar choice has been done, e.g., in [4]).

In the following, we consider the compensation rules of several acoustic model adaptation and other model-based approaches from a Bayesian view.

However, note that the challenge results, which will be detailed later, indicate that higher ASR performance was achieved not only with a powerful enhancement algorithm but also with the advanced ASR strategies for acoustic modeling, adaptation, and decoding techniques.

These recommendations are in five sections: needs assessment, description of the model, adaptation, standards, and educational implications.

They are set out in five sections: needs assessment, description of the model, adaptation, standards and educational implications.

To obtain the desired sensitivity of the actual control loop, the model adaptation parameter and a gain tuning factor in the control system are determined by functions of the normalized dead time.

Model adaptation is demonstrated and shown to provide process insight.