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Anyone knows which one should I use for an offline real-time speech recognition on a humanoid robot running Raspberry Pi 2?

• roel_v 10y ago
  Two realistic options, one is pocketsphinx, the other Kaldi. When running on a Pi, pocketsphinx will be your only realistic option for realtime detection. You'll want to move to a RaspPi 3 as well, and you'll want to use a customized dictionary to try and get your recognition speed up. Lastly, there are several parameters you can tweak that'll affect recognition speed. Raw processing power will be the bottleneck on a Raspberry Pi.
• smcameron 10y ago
  Pocketsphinx. Here is a demo https://www.youtube.com/watch?v=tfcme7maygw https://www.youtube.com/watch?v=tfcme7maygw and a blog post about how to do it: https://scaryreasoner.wordpress.com/2016/05/14/speech-recognition-and-natural-language-processing-in-space-nerds-in-space/ https://scaryreasoner.wordpress.com/2016/05/14/speech-recogn... Code is in here (gpl2) https://github.com/smcameron/space-nerds-in-space https://github.com/smcameron/space-nerds-in-space In particular, look at snis_nl.h, snis_nl.c The trick with pocketsphinx is to limit the vocabulary you want to recognize, and create a corpus of the types of things you want to be able to recognize and feed it through here: http://www.speech.cs.cmu.edu/tools/lmtool-new.html http://www.speech.cs.cmu.edu/tools/lmtool-new.html If you try to use pocketsphinx to recognize arbitrary English (e.g. dictation) it's not going to work very well in my experience.