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Search - "tacotron"
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QA personal voice assistant that runs locally without cloud, it’s like never ending project. I look at it from time to time and time pass by. Chat bots arrived, some decent voice algorithms appeared. There is less and less stuff to code since people progress in that area a lot.
I want to save notes using voice, search trough them, hear them, find some stuff in public data sources like wikipedia and also hear that stuff without using hands, read news articles and stuff like that.
I want to spend, more time for math and core algorithms related to machine learning and deep learning.
Problem is once I remember how basic network layers, error correction algorithms work or how particular deep learning algorithm is constructed and why is that, it’s already a week passed and I don’t remember where I started.
I did it couple of times already and every time I remember more then before but understanding core requires me sitting down with pen and paper and math problems and I don’t have time for that.
Now when I’m thinking about it - maybe I should write it somewhere in organized way. Get back to blogging and write articles about what I learned. This would require two times the time but maybe it would help to not forget.
I’m mostly interested in nlp, tts, stt. Wavenet, tacotron, bert, roberta, sentiment analysis, graphs and qa stuff. And now crystallography cause crystals are just organized graphs in 3d.
Well maybe if I’m lucky I retire in the next decade or at least take a year or two years off to have plenty of time to finish this project. -
When Google Engineers Made a Speech Synthesis Program, they hadn't figured out a name until:
"What should we name our advanced speech synthesis program"
"Hey bob what are going to order for lunch today"
"Tacos."
"What was that weird movie with the laser bikes that make light walls"
"Tron."
"Bob you're a genius"