coleman-wma Goto Github PK

active-learning-for-auditory-hierarchy

Active Learning code for an experiment to assess methods for minimising the manual effort required to label audio instances with hierarchical labels.

coleman-wma

Config files for my GitHub profile.

deep-learning-for-auditory-hierarcy

Python files written for Experiment 4 which investigated ML performance when predicting auditory hierarchy using CNN and SVM algorithms.

emobank

This repository contains EmoBank, a large-scale text corpus manually annotated with emotion according to the psychological Valence-Arousal-Dominance scheme.

hardware-device-mvp

Code for a MVP demo IoT device. We used this to send a text message to our future angel investor telling him the current temperature and atmospheric pressure from MEMS sensors in the device. We closed the deal.

intermediate-nlp

Intermediate Natural Language Processing: Real World Applications of Word Embeddings

label-crowdsourcing-website

Online labelling environment to crowdsource labels for auditory stimuli.

multimodal-speech-emotion

TensorFlow implementation of "Multimodal Speech Emotion Recognition using Audio and Text," IEEE SLT-18

open-speech-recording

Web application to record speech for an open data set

recorderjs

A plugin for recording/exporting the output of Web Audio API nodes

sonicpainter

sonicPainter was my masters thesis project. It is a re-imagining of the traditional piano roll as a visual score space based on Xenakis' UPIC. Fundamentally, you draw and manipulate shapes rather than playing fixed notes.

statistical-analysis-using-r

Short R code snippets doing visualisations for the subjective ratings of auditory objects gathered in Experiment 1.

svhn-keras

An exploration of the SVHN problem using Keras and a CNN.

text-empathy-pred

thinkbayes

Code repository for Think Bayes.

thinkstats2

Text and supporting code for Think Stats, 2nd Edition

voice-mood-nlp-cnn

Repo for Dublin.AI personal project looking at developing a voice biometric monitoring solution for mental health applications.