From the middle of November I was a bit more busy with projects @ work so in that time I simply have no time to write any new post, but I have learned a lot, so now I have a lot more material in my head for my blog 🙂
In that months me and my coworker and MVP for any kind of tables – Gašper Kamenšek – prepared something special for Thrive conference #ThriveConf @ Rimske Terme in November.
Topic of our session talks about how to become better trainer. The idea was to use face detection with emotional scores to see how visitors react and feel in session time. Because feeling is in a correlation with spoken words we use speach recognition. We can connect emotions from faces and words from speach within specific time interval -> so we need to add timestamp to both information. We use Bing Speech API for English language recognition and Google Speech API for Slovenian language recognition.
Because we get from speech recognition API complete sentence, we want to remove some unnecessary words like is, an, the, you etc from it. I use Standford Parser for that purpose – natural language parser that works out the grammatical structure of sentence.
In the end all go to Gašper Kamenšek’s part of project -> to Power BI for visualization and Azure Machine Learning (AML) for powerful analytics of correlation between women and man responses in hapiness for specific words. But that post include just my part of project which is coding (WPF application). Continue reading “Better Trainer”