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We use state-of-the-art deep-learning models that are very robust to noise (much more robust than what you get with GMM using Sphinx) and we train the model on
by oulipo 9y ago
We use state-of-the-art deep-learning models that are very robust to noise (much more robust than what you get with GMM using Sphinx) and we train the model on data containing noise.
This should be paired with a good microphone using microarray to locate the speech very precisely!
Our hotword solution is also robust to noise and could be used to detect a word over noise
- roel_v 9y agoGreat, looking forward to trying this.
- jd20 9y agoAre there any off-the-shelf array microphones you recommend, for pairing with Snips on the Pi?
- mfester 9y agoWe've been experimenting with three setups so far: the Matrix Creator, the ReSpeaker and the Conexant. We will soon publish an in-depth benchmark, as well as (highly needed!) tutorials on how to set them up so that they work optimally as audio capture devices on Raspberry.
- Trisk3lion 9y agoLooking forward to it! Maybe using the VoiceHat as well?
- putnam 9y agoComing from a signal processing background, this is interesting. Would your company be interested in doing a newsletter with https://enterprisedeeplearning.github.io https://enterprisedeeplearning.github.io? Edit: softened the sales pitch
- oulipo 9y agoSure, you can send us some info at contact@snips.ai