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<p><em><span data-olk-copy-source="MessageBody">How Vocaloid Works</span></em> explores the technical aspects&#xa0;of Vocaloid, the world’s most widely known and commercially successful&#xa0;singing voice synthesis software. Unlike previous Anglophone&#xa0;academic works on the subject, this book provides readers with a deeper understanding of the technological foundations of Yamaha’s concatenative synthesis approach as well as its updated AI synthesis engine. Vocaloid’s ground-breaking ability to generate a range of both life-like and distinctly artificial timbres continues to demonstrate its lasting impact. However, with the advent of machine learning models capable of both music generation and audio deepfakes, the future of Vocaloid’s position at the forefront of the industry is uncertain. The book examines into how Vocaloid can create human(oid) vocal sound, covering the fundamentals of acoustic voice production, auditory perception, analog audio, digital signal processing and deep neural networks in order to account for the effectiveness and appeal of synthesized singing voices.</p><p>&#xa0;</p>

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How Vocaloid Works

  • 书籍

  • 发表日期：

    2025年

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  • Gretchen Jude

摘要

How Vocaloid Works explores the technical aspects of Vocaloid, the world’s most widely known and commercially successful singing voice synthesis software. Unlike previous Anglophone academic works on the subject, this book provides readers with a deeper understanding of the technological foundations of Yamaha’s concatenative synthesis approach as well as its updated AI synthesis engine. Vocaloid’s ground-breaking ability to generate a range of both life-like and distinctly artificial timbres continues to demonstrate its lasting impact. However, with the advent of machine learning models capable of both music generation and audio deepfakes, the future of Vocaloid’s position at the forefront of the industry is uncertain. The book examines into how Vocaloid can create human(oid) vocal sound, covering the fundamentals of acoustic voice production, auditory perception, analog audio, digital signal processing and deep neural networks in order to account for the effectiveness and appeal of synthesized singing voices.