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Recognition experiments are conducted on the noisy Aurora-2 database, under both clean and multi-condition training modes.
From Figures6 and7, it can be seen that spectral subtraction has the highest word error rates (WER) for both clean and multi-condition training.
Also, it can be observed that for a minimal average loss in case of clean speech for both clean and multi-condition training, an improvement is obtained with the proposed features for all the noise conditions.
One is that DNN feature compensation uses more information than the DNN acoustic model, as both clean- and multi-condition data are used in its training.
The Aurora 2 task defines two different training modes: training on clean condition only, and training on multi-condition which include both clean and noisy conditions.
It should be both clean and beautiful".
The system is therefore both clean and autonomous and has a high potential for development.
In many cases, CDFs contain both clean and contaminated dredged material.
Create a system for storing clothes, both clean and dirty.
It can be observed that for all the test sets the performance of the proposed approach is better than spectral subtraction and ETSI-2 frontend for both training on clean data and multi-condition data.
The accuracies by the clean DNN-HMMs (Table 2, row 4) were better than the multi-condition DNN-HMMs, although the difference between them were not as large as the difference between the clean and multi-condition GMM-HMM systems.
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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