Information-Geometric Superposed Vowel Evaluation: Part 1. Moraic Syllabary (Japanese)
This paper explains the principles and provides examples of a new method for distinguishing between FAKE human speech synthesized by generative AI and natural speech. Since synthetic speech is generated based on information from a limited set of training spectra, the variety of vowels - which are key to identifying individuals - is limited. In contrast, natural speech exhibits a more diverse distribution of vowel spectra due to the flexibility of the human articulatory organ. In this paper, using Japanese - a Syllabary limited to five vowel phonemes, each of which corresponds one-to-one with a specific sound - as an example, we outline a method for distinguishing between synthetic and nat...
| Authors | Yusei Tamura, Shigekazu Ishihara, Ken Ito |
|---|---|
| Primary category | cs.SD |
| Published | 5 July 2026 |
| Last updated at source | 5 July 2026 |
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