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Re:Updates to Cloud Speech-to-Text and general availability ... by oulipo on Friday August 31, 2018 @03:16AM (#17883568)
If you want to build open-source, 100% on-device and private-by-design Voice assistants which can run on a Raspberry Pi, you can take a look at what we are building at https://snips.ai (disclaimer: I'm a co-founder)

We want to make it possible to have embedded assistants in all your objects which preserve people privacy, and do this with open-source: https://medium.com/snips-ai/an-introduction-to-snips-nlu-the...

Take a look at our blog to get started in 1h: https://medium.com/snips-ai/voice-controlled-lights-with-a-r...

It also binds in popular Home automation platforms like Home Assistant and the Jeedom platform

Re:Updates to Cloud Speech-to-Text and general availability ... by bhishmaraj on Friday August 31, 2018 @03:53AM (#17883740)
Hey I’ve been working on a chatbot project lately and I came across semantic parsing (http://nbviewer.jupyter.org/github/wcmac/sippycup/blob/maste...) . Even Though we didn’t use it , I found it to be more robust and capable to handle very complicated utterances. The main disadvantage of using a grammar based approach is that it’s hard to extend the grammar to incorporate new intents and also creating a grammar is time consuming .

But the approach used in various NLU services such as Snips and RASA is much more simpler. This can work fine for easy queries but once we start asking complicated questions using conjunctions and disjunctions these systems start becoming brittle. If they try to capture all the possible logical forms through intents they’ll need an exponential number of intents and also a huge dataset to capture all the intents.

I would like to know your take on using a grammar based semantic parsing.

Re:Updates to Cloud Speech-to-Text and general availability ... by prestato on Friday August 31, 2018 @03:36AM (#17883668)
Does Snips support existing MQTT broker yet? Haven't checked up on development since late 2017.