Language Model Bootstrapping Using Neural Machine Translation for Conversational Speech Recognition
Table 4: PPL and relative WERRs (%) with varying floor interpolation weights for the translation component in the 180 hour setup.
['[BOLD] Floor', '[BOLD] Interpolated', '[BOLD] WERR %']
The purpose of this investigation is to observe the effect of changing the floor weight parameter for the translation component, which provides a lever to override its relative importance in the interpolated LM. However, WERR demonstrates fluctuation with varying floor weights: a low weight renders the translation component ineffective whereas a high value undermines the transcription component. Floor weight sweep can provide empirical guidance for adjusting this parameter.