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Related Experiment Videos

Models of speech synthesis

R Carlson1

  • 1Department of Speech Communication and Music Acoustics, Royal Institute of Technology, Stockholm, Sweden.

Proceedings of the National Academy of Sciences of the United States of America
|October 24, 1995
PubMed
Summary
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This paper reviews text-to-speech synthesis methods, exploring motivations for choosing different approaches. It highlights speech synthesis

Area of Science:

  • Computer Science
  • Linguistics
  • Artificial Intelligence

Background:

  • The field of speech synthesis encompasses diverse technical methodologies.
  • Text-to-speech (TTS) systems rely on various approaches for generating synthetic speech.
  • Understanding speech production is a key aspect of speech synthesis research.

Purpose of the Study:

  • To review various approaches used in text-to-speech synthesis.
  • To discuss the motivations behind selecting specific speech synthesis methods.
  • To explore the broader implications of speech synthesis for understanding speech creation and language structure.

Main Methods:

  • Review of existing literature on speech synthesis techniques.
  • Analysis of different methodologies for generating synthetic speech.

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  • Discussion of factors influencing the choice of synthesis methods.

    • Main Results:

    • Identification of diverse technical approaches within speech synthesis.
    • Explanation of rationale for selecting particular speech synthesis methods.
    • Highlighting the dual role of speech synthesis in generation and scientific understanding.

    Conclusions:

    • Speech synthesis models are crucial for both generating artificial speech and advancing our understanding of human speech production.
    • Challenges remain in synthesizing diverse voices, accents, and multiple languages.
    • Further research is needed to address these complexities in the speech synthesis community.