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The two best performing metrics from Hu and Loizou's study, the log-likelihood ratio (LLR) and frequency domain segmental signal-to-noise ratio (fwSNRSeg) [29,30], are tested along with the specialised speech quality metrics, PESQ and POLQA, to illustrate their strengths and weaknesses.
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The latest rage is bots – application programming interfaces (APIs) that use machine learning to do specialised tasks such as process speech, assess text for sentiment or tag concepts.
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They specialised).
The work is highly specialised.
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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