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Previously, we proposed two voice-to-phoneme conversion algorithms for speaker-independent voice-tag creation specifically targeted at applications on embedded platforms, an environment sensitive to CPU and memory resource consumption [1]. These two algorithms (batch mode and sequential) were applied in a same-language context, i.e., both acoustic model training and voice-tag creation and application were performed on the same language.