Improved acoustic word embeddings for zero-resource languages using multilingual transfer
TABLE VI: Goodness of fit (R2, proportion of variance explained) of the regression models predicting absolute word duration on development data for the zero-resource languages.
['Model', 'ES', 'HA', 'HR', 'SV', 'TR', 'ZH']
We first consider word duration prediction, looking at the goodness of fit (R2) of the corresponding linear regression models. Note that better performance on this task does not necessarily imply better word discrimination performance; this could depend on the language and the specific downstream setting under consideration. Nevertheless, this analysis shows that the CAE-RNN seems to capture differences in duration more than the other models (at this salient level measured by linear regression).