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Arabic End-to-End TTS Deep Learning Model by mikegraywood is a document available to read on EtoBox.

What is Arabic End-to-End TTS Deep Learning Model about?

This document presents a novel end-to-end Arabic Text-To-Speech (TTS) architecture that utilizes transfer learning to generate high-quality, natural-sounding Arabic speech from diacritic text. The proposed model combines a spectrogram prediction network based on Tacotron 2 with a WaveGlow vocoder, trained on a limited dataset of 2.41 hours of recorded audio. The architecture aims to address the challenges faced by existing Arabic TTS systems, such as low quality and lack of naturalness, by leveraging deep l

Author

mikegraywood

Language

EN