Home/ Insights/ Speech recognition accuracy of AI phone agents and voicebots | What voice AI vendors publish, and voicast's results

Speech recognition accuracy of AI phone agents and voicebots | What voice AI vendors publish, and voicast's results

When choosing an AI phone agent or voicebot, the natural question is “what is its recognition accuracy?” But the figure changes with what was measured and on what audio, and not many products publish one. This article sets out what major products in Japan publish, and voicast’s results.

Vendor information in this article is based on each company’s official website as of 17 October 2026. Please check the official websites for the latest information. voicast is a service operated by SHANNON.

voicast’s recognition accuracy | Standard Japanese 94%, dialects 93%

The recognition accuracy of voicast, our voice AI agent platform, in our internal tests:

Recognition accuracy
Standard Japanese94%
Dialects93%

*Values from our internal tests measuring how accurately numbers and names are recognized. We measured under several conditions and show the highest value (254 patterns, 1,016 test runs; the values shown were measured at phone audio quality; dialects were measured on public Japanese speech data that includes dialects).

What AI phone and voicebot vendors publish | What each figure measures

We checked whether major AI phone, voicebot and speech recognition products in Japan publish recognition accuracy on their official websites. This is not a comparison of which is more accurate.

Product (company)Accuracy publishedWhat the figure measures
IVRy (株式会社IVRy)Not found on the official website (as of 17 October 2026)–
AI Messenger Voicebot / AI Worker VoiceAgent (株式会社AI Shift)Published for some itemsAddress recognition accuracy; recognition rate for order information containing letters
PKSHA VoiceAgent (株式会社PKSHA Technology)Not found on the official website (as of 17 October 2026)–
AmiVoice (株式会社アドバンスト・メディア)Published (company tech blog)Character-level recognition accuracy
MiiTel (株式会社RevComm)Published (company’s own study)Proportion of characters with errors
commubo (株式会社ソフトフロントジャパン)Improvement publishedImprovement in the error rate for personal names, addresses and short sentences compared with the previous engine (company comparison)
voicast (SHANNON)PublishedRecognition of numbers and names

All sources are the companies’ official websites or official announcements, checked on 17 October 2026 (URLs are listed under “Sources” at the end).

Published figures differ in what they measure and under what conditions, so they cannot be compared side by side as they are. When you look at a figure, check what it measures, and in the end, try the product on your own calls.

Summary

Some AI phone and voicebot products publish recognition accuracy and some do not, and what is published varies. voicast publishes Standard Japanese 94% and dialects 93%, together with what was measured and how many test runs were made.

SHANNON’s voicast is a voice AI agent platform: AI answers phone, web and app audio and returns the captured items and a summary by API and webhook. If you are considering it, please contact us.

Sources

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