jamesonthecrow
Joined 9 years ago
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91
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35
Member since
Dec 11
Recent submissions
Comment · 7 years ago
Comment · 7 years ago
Awesome job! If anyone else is working on a project like this or is interested in learning more about applied machine learning we've got a helpful Slack community over at Heartbeat (https://bit.ly/heartbeatslack)
Comment · 8 years ago
This looks really neat and it's definitely fun to play around with. I can't resist playing around with tools like this for a few minutes, but I've never really figured out what they're good for.
What am I supposed to learn from them? What is the actionable information? That's not really a criticism, I just feel like I'm missing something.
Facebook has open sourced some pre-trained models: https://github.com/facebookresearch/wav2letter
Picovoice has some smaller, more efficient models capable of running on edge devices: https://github.com/Picovoice
Full ASR does require quite large models and datasets, but you don't need nearly that much power or data to fine-tune a model for your own domain.