Open-source tool detects Japanese pitch accent, integrates with text-to-speech

A developer has created an open-source tool that automatically analyzes Japanese pitch accent, a tonal feature often ignored by language learning apps. The system uses acoustic analysis and dictionary data to identify high and low pitch patterns in spoken Japanese. It integrates with a text-to-speech voice, allowing synthetic speech to follow specified pitch contours. The project is openly available on GitHub and Hugging Face, with its creators noting the underlying accent data was not manually verified by native speakers.