Blog Post

The Biggest Industry Disruption in Voice

Apple’s acquisition and introduction of Siri made waves. It represented Jobs, who was a voice recognition naysayer, pronouncing “voice” as a big deal and ready for prime time. It made every company from every industry open their eyes, but Sensory heard a lot of “I know its coming, but I don’t know when”.  Voice assistants had hit mobile phones but…
Read More

Blog Post

Voice AI Predictions – Part 1

I enjoyed glancing through Voicebot.ai and their annual predictions from industry leaders. I was excited and amused to see Bret Kinsella’s opening comments: Despite the breadth of topics covered, there are at least two topics that arose with meaningfully higher frequency than the others. Predictions related to the rise of custom assistants were mentioned by at least 11 contributors followed…
Read More

Blog Post

Stop the Spoof!

  Everyone understands that with biometrics it’s all about the combination of convenience and accuracy. Biometrics can be much more convenient than a password because there’s nothing to remember and safety is enhanced because biometrics aren’t easily predictable and can’t be stolen. But not all biometrics are the same in convenience and accuracy. Here’s an internal comparison Sensory did that…
Read More

Blog Post

Can New Voice Assistants Compete Against Google, Amazon, and Apple?

This month Orange decided to stop selling its Djingo smart speaker and it didn’t get much notice. But I think it’s significant. it shows that even a $30 billion telecom giant can’t compete with the likes of Google and Amazon (incidentally they were using SoundHound technology which is about as good a cloud recognizer as an independent general-purpose assistant has…
Read More

Blog Post

The Problem with Speech Recognition

Speech recognition today works great. Sure, accents create challenges, and signal to noise ratios can make things more difficult, but through the use of deep learned approaches to modeling, we are able to achieve accuracy rates that get well above 90%. When you add a little Natural Language Understanding (NLU) around the voice recognition engine, it is not hard to…
Read More

Stay Connected

Get the latest speech recognition and artificial intelligence resources and industry updates.