nadinekroher Goto Github PK
Name: Nadine Kroher
Type: User
Bio: Co-head of Research at TMC2
Location: Seville, Spain
Name: Nadine Kroher
Type: User
Bio: Co-head of Research at TMC2
Location: Seville, Spain
binaural synthesis tool
Automatic transcription of flamenco singing.
C++ library of algorithms to extract features from audio files, including Python bindings.
Tests and improvements for various Essentia algorithms
Exploring genre annotations in the KKBox Music Dataset
Exploring the relation between timbre descriptors and year annotations of the Million Song Dataset
Source code related to the publication "Audio-based Melody Categorisation: Exploring Signal Representations and Evaluation Strategies".
Python implementation of the algorithm presented in ''A Polynomial Algorithm for Balanced Clustering via Graph Partitioning'' EuroCG2018 (https://conference.imp.fu-berlin.de/eurocg18/download/eurocg_proc.pdf)
MNIST AWS test
This is a collection of Matlab code of several numerical algorithms, their application and examples of using Matlab built-in functions.
classifying flamenco palos
CANTE: Automatic transcription of flamenco singing.
Image-based singer identification for flamenco videos
Solutions to the Unsupervised Feature Learning and Deep Learning tutorial (http://ufldl.stanford.edu/tutorial/)
Implementation of the algorithm in: Aggelos Pikrakis, Yannis Kopsinis, Nadine Kroher, Jose Miguel Diaz-Banez, "Unsupervised Singing Voice Detection Using Dictionary Learning", 24th European Signal Processing Conference (EUSIPCO), Budapest, Hungary, 2016.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
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Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
China tencent open source team.