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In this experiment, we examined the impact of utterance length on language recognition accuracy.
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We compared speech recognition accuracy and successful transaction completion rates of GSM and PSTN networks, and evaluated cross-country and cross-language effects.
As more voice usage data becomes available, speech recognition accuracy will get better and better.
All of the algorithms are incorporated using a linear discriminant analysis-maximum mutual information (LDA-MMI) backend for improving language recognition evaluation (LRE) accuracy.
Substantial amounts of resources are usually required to robustly develop a language model for an open vocabulary speech recognition system as out-of-vocabulary (OOV) words can hurt recognition accuracy.
All features are used for decoding in speech recognition systems with deep neural network (DNN) based acoustic models and large-scale RNN language models to achieve high recognition accuracy in noisy environments.
The extended HTM improves performance of traditional HTM for SLR, reaching 91% recognition accuracy for a data set of 95 categories of Australian sign language.
Experiments show that the proposed techniques provide superior scene character recognition accuracy and are capable of recognizing scene texts of different scripts and languages.
I found it responsive, matching the recognition accuracy and speed of most competitors.
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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