PART-OF-SPEECH MODELS COMPRESSION METHODS FOR ON-DEVICE GRAPHEME-TO-PHONEME CONVERSION

The paper investigates methods of compressing part-of-speech models that are developed for an on-device grapheme-to-phoneme conversion module. The performance of part-of-speech models is analyzed under different compression regimes. The evaluation is done with respect to French, German and Italian datasets that consist of TTS input prompts. The study shows that a proper selection of a compression method reduces the model size significantly without deteriorating the grapheme-to-phoneme conversion performance.