Code for SuDoRm-Rf networks for efficient audio source separation. SuDoRm-Rf stands for SUccessive DOwnsampling and Resampling of Multi-Resolution Features which enables a more efficient way of sep…

Unsupervised domain adaptation for conversational speech enhancement using RemixIT

Code and data recipes for the paper: Optimal Condition Training for Target Source Separation by Efthymios Tzinis, Gordon Wichern, Paris Smaragdis and Jonathan Le Roux

Code and data recipes for the paper: Heterogeneous Target Speech Separation

Code for the paper: Separate but togerher: Unsupervised Federated Learning for Speech Enhancement from non-iid data

Code for the paper: "Unsupervised Deep Clustering for Source Separation: Direct Learning from Mixtures using Spatial Information"

Code for the paper: Unified Gradient Reweighting for Model Biasing with Applications to Source Separation

Various teaching assistant's (TA) tools for automating processes with grading, assigning students, etc.

A two step optimization for sound source separation on the adaptive front-end domain

Check the GPUs status on multiple servers

Convolutional Neural Decomposition for End2End Speech Emotion Recognition

Bootstrapped MDS: A Coordinate Search Algorithm for Multidimensional Scaling which optimizes Stress by evaluating the function multiple times over different coordinates but also bootstraping over p…

Non linear dynamics for emotion classification

Latex Code of thesis tools for manipulation

Evaluating Nonlinear dimensional reduction algorithms for finding low dimensional manifold representations of input data, trying to infer labels of unlabelled data points of the manifold as well as…

Active Learning for Emotionally Salient Utterances and Segments using Text & Audio

Labs exercises in NTUA (2016-2017) for the Pattern Recognition course 9th semester Contributors: Efthymios Tzinis Konstantinos Kallas

A simple prompt/recorder preparation tool for questions 1&2 in TOEFL examination (speaking section)

Code for my contribution in a medicine related project/paper with faculty form Kapodistrian University of Athens.

Labs exercises in NTUA (2016-2017) for Operating Systems Laboratory course 8th semester. Contributors: Efthymios Tzinis & Kostantinos Kallas

Labs exercises in NTUA (2016-2017) for Neural Networks course 9th semester Contributors: Efthymios Tzinis Konstantinos Kallas

Labs exercises in NTUA (2016-2017) for the Computer Vision course 8th semester Contributors: Efthymios Tzinis Konstantinos Kallas

Labs exercises in NTUA (2015-2016) for the course Microprocessors 7th semester. Contributors: Efthymios Tzinis, Anastasis Stathopoulos, Rafail Skoulos

My exercises in NTUA (2015-2016) for the course Programming Languages 6th semester (C,Java,ML,Prolog)

Labs exercises in NTUA (2015-2016) for the course Speech and Natural Language Processing 7th semester