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AI helps to protect Georgia elections 2020 from fraud and falsification

The Zpoken team was invited to support the holding of fair parliamentary elections in Georgia 2020. Case description The general goal of the project was monitoring of Georgian parliamentary elections that took place in October, 2020. The main purpose of the project was to monitor and prevent so-called Carousel voting…

Face Recognition

5 min read

AI helps to protect Georgia elections 2020 from fraud and falsification
AI helps to protect Georgia elections 2020 from fraud and falsification

May 24, 2021

Speech-to-Text data preparation: audio to text alignment challenges and solutions

Let’s say you want to create your own ASR dataset. You gathered some audios and texts of variable lengths, but STT models require relatively short audios to be trained on. Few minutes long audio is already too long and requires slicing. The possible solution is audio to text aligning. This…

Speech Recognition

4 min read

Speech-to-Text data preparation: audio to text alignment challenges and solutions
Speech-to-Text data preparation: audio to text alignment challenges and solutions

May 13, 2021

Embedder searching Falsifiers on polling stations

Project purpose This article describes part of the project of monitoring the parliamentary elections in Georgia in 2020. The main goal of the project was to find forgers — people voting several times (at different voting stations) in the online regime. There was a volunteer capturing all voters on election…

Machine Learning

6 min read

Embedder searching Falsifiers on polling stations
Embedder searching Falsifiers on polling stations
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