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kenarsa
searching PlanetScale…
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14 ms
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91.
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by
kenarsa
8y ago
BTW, Picovocie runs on RPi (all variant not only RPi3).
92.
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kenarsa
8y ago
We do support Windows!
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kenarsa
8y ago
You can use this for free under Apache 2 license for a personal non-commercial use. No licensing needed. You don't need to pay us a penny as long as you don't make money off it.
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kenarsa
8y ago
I would love to see Picovocie on ESP32. We've looked into this as we get many requests for Picovoice on ESP32. The challenge is to find a commercial request at a reasonable scale to cover the porting effort. I suspect it should be less
95.
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kenarsa
8y ago
You should check this out: https://github.com/Picovoice/wakeword-benchmark We do work with a couple of SoC manufacturers and will disclose some of the results when our partners are ready. In general, we can run on any
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kenarsa
8y ago
The reason the quote is not present is that there are just too many factors involved. What is the platform you are using (iOS, Android, ARM Cortex-M, DSP, etc)? What is the scale? Are you deploying to ten devices or ten million? Do you have
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kenarsa
8y ago
We will open source Cheetah this year with a similar licensing model as Porcupine.
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kenarsa
8y ago
Hello. Thanks for the comment. We have plans to open source two more products this year. with similar licensing compared to Porcupine. 1- Speech-to-Intent: It allows you to issue complex voice commands in a specific domain and in turn retur
99.
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kenarsa
8y ago
I am the founder of Picovoice. I am NOT going to comment on comparison as obviously I will be biased ;) With Picovoice you can use the voice control engine to accomplish this. Maybe something similar to this demo? https://picovoi
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kenarsa
8y ago
It is true! Have you tried it? :) We will add another demo for speech-to-intent module fairly soon (over this weekend). Stay tuned!
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kenarsa
8y ago
This is Alireza. I am the founder of Picovoice. Thanks a lot for the information and also sharing. I 100% agree we do need to work on the website and its content. It is definitely in our TODO list. Will prioritize. In the meantime happy to
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kenarsa
8y ago
That's odd. If there are errors in the console. Please open an issue in the GitHub repo is possible: https://github.com/Picovoice/Porcupine Otherwise, I am thinking it could be something related to the microphone?
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kenarsa
8y ago
Sounds like a great idea. Let us know if you face any problems integrating it. Happy to help. Cheers!
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kenarsa
8y ago
thanks a lot for the feedback :) Take a look at this standalone demo if you like https://github.com/Picovoice/Porcupine/tree/master/demo/js it should be a matter of tweaking a few parameters.
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kenarsa
8y ago
Sounds like a good idea. I will think about it. thanks for feedback.
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Voice control engine that runs fully in the browser using WebAssembly
(picovoice.ai)
86 points
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kenarsa
8y ago
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27 comments
107.
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kenarsa
8y ago
Thanks. Do you use the default parameters and tune from there?
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kenarsa
8y ago
Unfortunately, we only offer Ubuntu x86_64 at the moment. We are planning to add more platforms (Mac and Windows). I make a note of your request and add it to our todo list. Thank you.
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kenarsa
8y ago
Thanks for the question. You can use our first product: https://github.com/Picovoice/Porcupine . It is a voice-control (wake-word) engine. It allows you to detect multiple keywords (phrases) in the audio stream in real
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kenarsa
8y ago
Great question. I believe that someone has already performed this measurement on a variety of could APIs (Google, Amazon. MS. etc.). I remember seeing it on GitHub while ago. I can't find it right now with a simple Google search. But I
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kenarsa
8y ago
Hello, sorry to interrupt the conversation. I am Alireza. I am the founder of Picovoice (maker of Cheetah). Thanks for mentioning the quote I heard it from few friends who used to work in Nuance. But didn't know where it came from orig
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kenarsa
8y ago
Thanks for the link. I'll be sure to look into it. It is impressive. A disclaimer is that we use the valid train portion of CV as part of our training set. But it is less than 10% of the train set (in terms of hours). Also, we do not e
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kenarsa
8y ago
Thanks for the comment. Not currently at the moment. But we are going to provide more information on picovoice.ai in coming days.
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kenarsa
8y ago
Thanks for the comment. Just wanted to quickly clarify that the model is available here: https://github.com/Picovoice/stt-benchmark/tree/master/resou...
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kenarsa
8y ago
That is a good point. Definitely a valid roadmap and something we should consider. Thank you for the suggestion.
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kenarsa
8y ago
If you use the CPU that we used for testing yes. It's an Intel CPU. The detail is in readme. You can do 30 streams per core. If you have 2 cores you can do 60.
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kenarsa
8y ago
We used entire librispeech as part of our training set.
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kenarsa
8y ago
I agree with your point. That is why we open sourced the benchmark so you can verify it yourself. You just need an Ubuntu machine with python 3.6. I appreciate the question.
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kenarsa
8y ago
This is a bit of surprise to me as well. That being said. The dataset is a tough one. I am ESL, but some of the accented examples I have a hard time understanding. Also the recordings are not near field and there is sometime some background
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kenarsa
8y ago
Thanks for comment. We don't train on the dataset being tested on. I am fairly certain the other engines don't as well.
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