Efthymios Tzinis (@etzinis)
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etzinis

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Top repositories

1

sudo_rm_rf

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 separating sources from mixtures.
Jupyter Notebook
303
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2

two_step_mask_learning

A two step optimization for sound source separation on the adaptive front-end domain
Python
67
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3

unsup_speech_enh_adaptation

Unsupervised domain adaptation for conversational speech enhancement using RemixIT
Jupyter Notebook
51
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4

fedenhance

Code for the paper: Separate but togerher: Unsupervised Federated Learning for Speech Enhancement from non-iid data
Jupyter Notebook
39
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5

heterogeneous_separation

Code and data recipes for the paper: Heterogeneous Target Speech Separation
Python
38
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6

unsupervised_spatial_dc

Code for the paper: "Unsupervised Deep Clustering for Source Separation: Direct Learning from Mixtures using Spatial Information"
Python
21
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7

biased_separation

Code for the paper: Unified Gradient Reweighting for Model Biasing with Applications to Source Separation
Python
14
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8

optimal_condition_training

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
Python
12
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9

nldrp

Non linear dynamics for emotion classification
Python
8
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10

lathesis

Latex Code of thesis tools for manipulation
Python
7
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11

activelearning

Active Learning for Emotionally Salient Utterances and Segments using Text & Audio
Python
4
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12

bootstrapped_mds

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 previous successful iterations. With this algorithm there is a probability of evaluating the function alongside a coordinate step depending on the previous successful evaluations across this coordinate.
Jupyter Notebook
2
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13

pat_rec_ntua

Labs exercises in NTUA (2016-2017) for the Pattern Recognition course 9th semester Contributors: Efthymios Tzinis Konstantinos Kallas
MATLAB
1
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