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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 buil

by oulipo 8y ago

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 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-open-source-library-behind-snips-embedded-voice-platform-b12b1a60a41a 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-raspberry-pi-and-snips-822e53d7ede6 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

CoffeeWidget 8y ago
Hey I've been looking to order the Maker Kit. I found your videos to be really helpful in showing what Snips can do. My Alexa was acting off recently and these voice squatting scares are trending like wildfire. You guys currently run a decentralized machine learning/data gen network for anyone to generate data for their app right?
prestato 8y ago
Does Snips support existing MQTT broker yet? Haven't checked up on development since late 2017.
bhishmaraj 8y ago
Hey I’ve been working on a chatbot project lately and I came across semantic parsing (http://nbviewer.jupyter.org/github/wcmac/sippycup/blob/master/sippycup-unit-0.ipynb 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.

by oulipo 8y ago

CoffeeWidget 8y ago

Hey I've been looking to order the Maker Kit. I found your videos to be really helpful in showing what Snips can do. My Alexa was acting off recently and these voice squatting scares are trending like wildfire. You guys currently run a decentralized machine learning/data gen network for anyone to generate data for their app right?

prestato 8y ago

Does Snips support existing MQTT broker yet? Haven't checked up on development since late 2017.

bhishmaraj 8y ago

Hey I’ve been working on a chatbot project lately and I came across semantic parsing (http://nbviewer.jupyter.org/github/wcmac/sippycup/blob/master/sippycup-unit-0.ipynb 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.