Hyoungmin Park — accepted AI-conference papers

2022

Part-of-Speech Models Compression Methods for on-Device Grapheme-to-Phoneme Conversion

Marek Kubis, Maxime Méloux, Pawel Skórzewski, Marcin Lewandowski, Gunu Jho, Hyoungmin Park

ICASSP 2022accepted

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 d…

Cited by 0 Source ↗Scholar ↗

2021

Prosodic Clustering for Phoneme-Level Prosody Control in End-to-End Speech Synthesis

Alexandra Vioni, Myrsini Christidou, Nikolaos Ellinas, Georgios Vamvoukakis, Panos Kakoulidis, Taehoon Kim +4

ICASSP 2021accepted

This paper presents a method for controlling the prosody at the phoneme level in an autoregressive attention-based text-to-speech system. Instead of learning latent prosodic features with a variational framework as is commonly done, we directly extract phoneme-level F0 and duration features from the…

Cited by 12 Source ↗Scholar ↗