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

Marek Kubis, Pawe? Sk�rzewski, Maxime Me?loux, Marcin Lewandowski, Gunu Jho, Hyoungmin Park

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    Length: 00:10:16
10 May 2022

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.

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