Skip to content
No description, website, or topics provided.
Branch: master
Clone or download
Latest commit 35443b2 Apr 20, 2019
Permalink
Type Name Latest commit message Commit time
Failed to load latest commit information.
result updated Mar 28, 2019
README.md Update README.md Apr 20, 2019
cnn.py updated Mar 28, 2019
image.txt updated Mar 28, 2019
img.jpg Add files via upload Apr 18, 2019
main.py updated Mar 28, 2019
nn.py updated Mar 28, 2019
pre.py updated Mar 28, 2019
sound.txt updated Mar 28, 2019
train_mnist_data_parallel.py updated Mar 28, 2019

README.md

Title: Emotion Recognition from Vocal Streams Captured with Microsoft Hololens Date: 2018-10-01 19:30 Modified: 2010-12-05 19:30 Category: research Tags: img: https://github.com/AtomScott/emotion-recognition-from-voice/blob/master/img.jpg?raw=true link: https://github.com/AtomScott/emotion-recognition-from-voice Slug: emotion-recognition-from-voice Authors: Atom Scott @ Xperception Lab, University of Tsukuba Summary:

This research stemmed from an R&D project with an undisclosed Japanese research center.

※More info may be released in the future.

Thanks to my previous experiance in modelling continous time-series data, I was assigned to implement a module that can do emotion recognition from vocal streams captured with the Microsoft Hololens.

I used a naive deep-learning based approach and although the results where sub-optimal, precision was much better than random data and was acceptable for this R&D project.

However, I wanted to improve the results and learn more about audio processing, and so I have decided to continue to do some research in the field. I plan to release a paper with my findings later this year.

You can’t perform that action at this time.