Comments on: The Ultimate Voice Dialer for Asterisk and Incredible PBX https://nerdvittles.com/the-ultimate-voice-dialer-for-asterisk-and-incredible-pbx/ Ward Mundy's Technobabblelog Thu, 01 Nov 2018 17:43:18 +0000 hourly 1 By: drgeoff https://nerdvittles.com/the-ultimate-voice-dialer-for-asterisk-and-incredible-pbx/comment-page-1/#comment-175615 Fri, 13 Oct 2017 18:26:20 +0000 http://nerdvittles.com/?p=23713#comment-175615 I think that 5% rate is totally misleading in this situation. Maybe it can do that on connected speech but a person or company name doesn’t give it enough context. And it cannot distinguish between eg "Geoff" and "Jeff". That is useless when trying to match the textual names in Asteridex. (Even a human with no input other than hearing the word cannot know if "Geoff" or "Jeff" was intended.)

And even if it could achieve that 5% error rate, that would still be annoyingly high. My old mobile phone does a good job of voice dialing because it doesn’t do STT followed by a text match. It does a fuzzy match on the spoken audio signal against the set of previously recorded spoken audio signals constructed as each name was added to the contact database.

[WM: Your approach would certainly work. I’m not aware of that many smartphones that actually store audio clips linked to phonebook entries. However, we’ve had excellent results with AsteriDex queries just using a plain-text database. The simple answer to your "Geoff" or "Jeff" issue is to actually try a call, watch the Asterisk CLI, and see which spelling the STT engine returns. Then simply adjust the AsteriDex entry accordingly. For most users, there are probably a handful of these entries to work through so it’s really not a showstopper. And our success rate far exceeds the 95% threshold mentioned in our article.]

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