Papers by Rami Kammoun

1 papers
TunArTTS: Tunisian Arabic Text-To-Speech Corpus (2024.lrec-main)

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Challenge: Historically, TTS relied on classical methods that proved expensive in terms of data storage and often resulted in robotic-sounding output known as concatenative speech.
Approach: They propose to extract a mono-speaker speech corpus from an online dictionary and use it to develop end-to-end TTS systems for the Tunisian dialect.
Outcome: The proposed system is based on two approaches: training from scratch and transfer learning.

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