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Text-to-Speech Synthesis.pdf

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Preview of Text-to-Speech Synthesis
🔗 Source: jait.us
📊 Size: 2.68 MB
👤 Author: Fahima Khanam, Farha Akhter Munmun, Nadia Afrin Ritu, Aloke Kumar Saha, and Muhammad Firoz Mridha
⬇️ Downloads: 137

Summary

Text-to-speech synthesis is a process of translating natural language text into speech, with deep learning achieving huge success in this domain. A taxonomy of deep learning-based architectures and models is introduced, including autoregressive and non-autoregressive models. Various datasets and evaluation matrices are discussed, and the paper concludes with challenges and future directions of the text-to-speech synthesis system.

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Description

Text-to-speech synthesis is a process of translating natural language text into speech, with deep learning achieving huge success in this domain.

Technical Information

  • File Format: PDF
  • File Size: 2.68 MB
  • Pages: 15
  • Language: EN
  • Author: Fahima Khanam, Farha Akhter Munmun, Nadia Afrin Ritu, Aloke Kumar Saha, and Muhammad Firoz Mridha
  • Total Downloads: 137
  • Last Updated: 8 hours ago

Document Overview

This PDF document about Text-to-Speech Synthesis provides comprehensive information and guidance. Whether you're a beginner or advanced user, this resource offers valuable insights into Text-to-Speech Synthesis.

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