snakers41

All these things will be lost like tears in rain.

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Mar 28, 20

Mar 28, 20

Feb 9, 17

Towards an ImageNet Moment for Speech-to-Text

Could Speech-To-Text be next?

Posted by snakers41 on March 28, 2020

Datasets Speech To Text Neural networks Deep learning Data Science

Итоги 2019

Итоги 2019, в этот раз по-русски

Posted by snakers41 on December 30, 2019

Neural networks Computer vision Deep learning ML and CV competitions Data Science

Open STT 1.0 release

Finally we made it!

Posted by snakers41 on November 4, 2019

Datasets Speech To Text Neural networks Deep learning Data Science

Navigating the Speech to Text Dark Forest

Do not fall prey to fallacies

Posted by snakers41 on August 12, 2019

Datasets Speech To Text Neural networks Deep learning Data Science

Russian Open Speech To Text (STT/ASR) Dataset

4000 hours of STT data in Russian

Posted by snakers41 on May 1, 2019

Datasets Speech To Text Neural networks Deep learning Data Science

Building end-to-end taxi hailing service automation

Almost, without STT for now

Posted by snakers41 on March 18, 2019

Neural networks Computer vision Data Science

Complexity / generalization /computational cost in modern applied NLP for morphologically rich languages

Towards a new state of the art?

Posted by snakers41 on March 1, 2019

Deep learning Data Science Natural Language Processing

Spark in me - annual retrospective 2018

Spark in me - annual retrospective 2018

Posted by snakers41 on December 29, 2018

Neural networks Computer vision Deep learning ML and CV competitions Data Science

Winning a CFT 2018 spelling correction competition

Building a task-agnostic seq2seq pipeline on a challenging domain

Posted by snakers41 on November 20, 2018

Deep learning Data Science Natural Language Processing

Building client routing / semantic search and clustering arbitrary external corpuses at Profi.ru

And some applied benchmarks of sentence embedding methods

Posted by snakers41 on November 2, 2018

Deep learning Data Science Natural Language Processing