software . 2019

Auditory Machine Learning Training and Testing Pipeline: AMLTTP v3.0

Ivo Trowitzsch; Youssef Kashef; Klaus Obermayer;
Open Source
  • Published: 21 Feb 2019
  • Publisher: Zenodo
Abstract
The purpose of the Two!Ears Auditory Machine Learning Training and Testing Pipeline (AMLTTP) is to build and evaluate models for auditory sound object annotation and assigning attributes to them. The models are obtained by inductive learning from labeled training data. The framework is tightly coupled with the Two!Ears system. While the pipeline is designed with flexibility in mind and is extendable to new target attributes, data features, or model and training algorithms, it so far serves the specific purpose of training and evaluation of block-based auditory object-type, object-location, and number-of-sources classifiers using data from simulated auditory scen...
Subjects
free text keywords: machine learning, sound event detection, sound source localization, auditory
Funded by
EC| TWO!EARS
Project
TWO!EARS
TWO!EARS
  • Funder: European Commission (EC)
  • Project Code: 618075
  • Funding stream: FP7 | SP1 | ICT
Communities
FET FP7FET Open: Challenging current thinking
FET FP7FET Open: TWO!EARS
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Open Access
Zenodo
Software . 2019
Provider: Datacite
Open Access
Zenodo
Software . 2019
Provider: Datacite
Open Source
Zenodo
Software . 2019
Provider: Zenodo
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