Bilateral G2P accuracy: measuring the effect of variants
Abstract
Incorporating pronunciation variants in a dictionary
is controversial, as this can be either advantageous or
detrimental for a speech recognition system. Grapheme-tophoneme
(G2P) accuracy can help guide this decision, but
calculating the G2P accuracy of variant-based dictionaries
is not fully straightforward. We propose a variant matching
technique to measure G2P accuracy in a principled way, when
both the reference and hypothesised dictionaries may include
variants. We use the new measure to evaluate G2P accuracy
and speech recognition performance of systems developed with
an existing set of dictionaries, and observe a better correlation
between G2P accuracy and speech recognition performance,
than when utilising alternative metrics.
URI
http://hdl.handle.net/10394/26439https://www.researchgate.net/publication/322589096_Bilateral_G2P_accuracy_Measuring_the_effect_of_variants
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