Don't expect this to be anything like modern "good" speech recognition. Sphinx is definitely from the 00's when it seemed like speech recognition would never be solved.
Apparently Kaldi is a lot better, but good luck setting it up!
Voice Recognition and Text to Speech in Python
21–30 of 53 posts
Re: Voice Recognition and Text to Speech in Python
#22I have had a problem with using the speech_recognition library in that it does not stop listening when silence occurs.
After trying to tweak the threshold parameters without success I just figured I'd add a custom key-command to break the listening loop in my project.
Re: Voice Recognition and Text to Speech in Python
#23It really would be amazing to be able to get voice recognition software that covers at least recognizing a small enough fraction of our language to be useful without having to reach the cloud. It is definitely a dream I hope we one day achieve, thanks for the article, will test it on my day off and play with it a bit.
My impression is that the super accurate stuff like Google's voice recognition and Siri are all feuled by masssssssive amounts of data. So you build up these recognition networks based off of a bunch of data sources, and get better over time, but the recognition is more based off of the data than the code. It's the whole "Memory is a process, not a hard drive" thing: Voice recognition as it is today is a slowly evolv…
There's actually some research on compressing ANN's to the size that it could be embedded in all sorts of devices. I think I saw something about it on HN a few months back?
Re: Voice Recognition and Text to Speech in Python
#24It really would be amazing to be able to get voice recognition software that covers at least recognizing a small enough fraction of our language to be useful without having to reach the cloud. It is definitely a dream I hope we one day achieve, thanks for the article, will test it on my day off and play with it a bit.
Pocketsphinx/Sphinx with a small, use-case specific dictionary showed much better accuracy for my accent and speech defects, than any of these cloud based recognition systems. I used a standard acoustic model, but it probably would have been even more accurate had I trained a custom acoustic model.
For simple use cases like home automation or desktop automation, I think it's a more practical approach than depending on a cloud API.
Re: Voice Recognition and Text to Speech in Python
#25It really would be amazing to be able to get voice recognition software that covers at least recognizing a small enough fraction of our language to be useful without having to reach the cloud. It is definitely a dream I hope we one day achieve, thanks for the article, will test it on my day off and play with it a bit.
Pocketsphinx/Sphinx with a small, use-case specific dictionary showed much better accuracy for my accent and speech defects, than any of these cloud based recognition systems. I used a standard acoustic model, but it probably would have been even more accurate had I trained a custom acoustic model. For simple use cases like home automation or desktop automation, I think it's a more practical approach than depending o…
I have an easy wrapper to pocketsphinx here [1] - it has come in handy for me in the past. Another option is a gstreamer server with Kaldi [2].
[1] https://github.com/kastnerkyle/ez-phones
[2] https://www.reddit.com/r/MachineLearning/comments/3pr4v4/are...
Re: Voice Recognition and Text to Speech in Python
#26Kids, it's called "speech recognition". Voice recognition also exists, but it's the task of identifying a user based on his/her voice, not the task of transcribing spoken input as text.
Kids?
Re: Voice Recognition and Text to Speech in Python
#27It really would be amazing to be able to get voice recognition software that covers at least recognizing a small enough fraction of our language to be useful without having to reach the cloud. It is definitely a dream I hope we one day achieve, thanks for the article, will test it on my day off and play with it a bit.
Pocketsphinx/Sphinx with a small, use-case specific dictionary showed much better accuracy for my accent and speech defects, than any of these cloud based recognition systems. I used a standard acoustic model, but it probably would have been even more accurate had I trained a custom acoustic model. For simple use cases like home automation or desktop automation, I think it's a more practical approach than depending o…
I haven't tried out Pocket Sphinx myself...could you describe the training process, e.g. how long did it take, how much audio did you have to record, how easy was it to iterate to improve accuracy?
Re: Voice Recognition and Text to Speech in Python
#28It really would be amazing to be able to get voice recognition software that covers at least recognizing a small enough fraction of our language to be useful without having to reach the cloud. It is definitely a dream I hope we one day achieve, thanks for the article, will test it on my day off and play with it a bit.
> It really would be amazing to be able to get voice recognition software that covers at least recognizing a small enough fraction of our language to be useful without having to reach the cloud. Are there any academic groups working on this topic, and do they have prototype implementations?
Julius [1] is a pretty good offline speech recognition engine. In my tests it seems to have about 95% accuracy in grammar-based models, and it supports continuous dictation. There is also a decent Python module which supports Python 2, and Python 3 with a few tweaks.
HOWEVER:
The only continuous dictation models available for Julius are Japanese, as it is a Japanese project. This is mainly an issue of training data. The VoxForge models are working towards releasing one for English once they get 140 hours of training data (last time I checked they were around 130); but even so the quality is likely to be far less than commercial speech recognition products, which generally have thousands of hours of training.
Re: Voice Recognition and Text to Speech in Python
#29Another project along similar lines is the Jasper Project[0], which has received some HN coverage in the past several years[1]. It interfaces with many of the same speech recognition and text-to-speech libraries.
[0] https://jasperproject.github.io/
[1] https://hn.algolia.com/?query=Jasper%20Project&sort=byPopula...
Re: Voice Recognition and Text to Speech in Python
#30FWIW, IBM has a wonderful speech to text API...I've put together a repo of examples and Python code: https://github.com/dannguyen/watson-word-watcher One of the great things about it is its word-level time stamp and confidence data that it returns...here's a few super cuts I've made from the presidential primary debates: https://www.youtube.com/watch?v=VbXUUSFat9w&list=PLLrlUAN-Lo... It's not perfect by any means, bu…
It took me a while to understand what you did here. I was waiting for some kind of subtitles showing the recognition ability.
But you are saying you performed speech recognition on the full video then edited it according to where the words you targeted were found. I liked the bomb/terrorist one, the others didn't seem to be "saying" anything.