Juan Pablo Cáceres — accepted AI-conference papers

2023

Transcription Free Filler Word Detection with Neural Semi-CRFs

Ge Zhu, Yujia Yan, Juan Pablo Cáceres, Zhiyao Duan

ICASSP 2023accepted

Non-linguistic filler words, such as "uh" or "um", are prevalent in spontaneous speech and serve as indicators for expressing hesitation or uncertainty. Previous works for detecting certain non-linguistic filler words are highly dependent on transcriptions from a well-established commercial automati…

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2021

Context-Aware Prosody Correction for Text-Based Speech Editing

Max Morrison, Lucas Rencker, Zeyu Jin, Nicholas J. Bryan, Juan Pablo Cáceres, Bryan Pardo

ICASSP 2021accepted

Text-based speech editors expedite the process of editing speech recordings by permitting editing via intuitive cut, copy, and paste operations on a speech transcript. A major drawback of current systems, however, is that edited recordings often sound unnatural because of prosody mismatches around e…

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