arXiv AI

Information-Geometric Superposed Vowel Evaluation: Part 1. Moraic Syllabary (Japanese)

arXiv:2607. 04154v1 Announce Type: cross Abstract: 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.

arXiv Computation and Language
Sep 1

Vocal Music under Phoneme-Conditional Analysis

arXiv:2608.30823v1 Announce Type: cross Abstract: The vocal music of each language carries a distinctive sonic identity, even without instrumental accompaniment. We ask whether these differences are...

By Hayoon Kim, Kyogu Lee
arXiv AI
Sep 12

Flexible and Interpretable Accent Distance Measurements

The paper introduces a method for measuring accent differences that balances interpretability and practicality. It proposes using articulatory representations obtained via articulatory inversion as an interpretable basis for accent comparison, while employing optimal transport to compare accents across any type of recording. This approach aims to overcome the limitations of traditional phonetic analyses and embedding‑based methods, which are either time‑consuming or non‑interpretable.

By Charles McGhee, Mark J. F. Gales, Kate M. Knill
arXiv Computation and Language
Aug 28

Letters hide the truth from our eyes: English homophones have meaningfully different phonetic realizations

The study examines whether English homophones differ in phonetic realization beyond spoken word duration. Analyzing 14,000 homophone tokens from American television news, it finds that pairs such as "weight" and "wait" exhibit distinct phonetic patterns that can be predicted from their meanings in context. These differences persist even after controlling for duration, and time‑normalized spectrograms prove effective for detecting such fine‑grained phonetic variation without relying on phonetic transcriptions.

By Yu-Hsiang Tseng, Mirjam T. C. Ernestus, Louis F. M. ten Bosch, R. Harald Baayen
Hugging Face Trending Papers
Aug 27

Letters hide the truth from our eyes: English homophones have meaningfully different phonetic realizations

The study examines how English homophones—words that sound identical but have different meanings—are pronounced differently in spoken language. Analyzing 14,000 homophone tokens from American television news, researchers found that pairs such as "weight" and "wait" exhibit distinct phonetic realizations that can be predicted from their contextual meanings, even after controlling for word duration. Time‑normalized spectrograms proved effective for detecting these subtle differences without relying on phonetic transcriptions.