Case Study: JR Central improves station announcement clarity with ReadSpeaker AI TTS

A ReadSpeaker Case Study

JR Central improves Shinkansen announcements for 432,000 daily passengers with ReadSpeaker

JR Central, a major Japanese railway company, faced challenges with its station announcements on the busy Tokaido Shinkansen bullet train line. Relying on pre-recorded messages from voice actors led to issues with audibility in noisy environments and was a costly, logistically difficult process. They partnered with ReadSpeaker to find a solution that would improve clarity and reduce dependency on voice talent.

ReadSpeaker implemented its AI-powered text-to-speech software, speechMaker Desktop, which integrated noise-resistant technology developed with Japan’s National Institute of Informatics. This solution provided JR Central with consistently clear and intelligible announcements, significantly reducing costs by eliminating repeated professional recordings. The implementation simplified management and allowed for quick, flexible updates to travel information, enhancing the passenger experience for the line's 432,000 daily riders.


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