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update README.md for v3.0
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README.md

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@@ -13,6 +13,10 @@ serves the specific purpose of training and evaluation of block-based auditory
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object-type, object-location, and number-of-sources classifiers using data from
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simulated auditory scenes generated within the same framework.
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In [1], we have developed and analyzed robust binaural sound event detection models using AMLTTP.
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[1] Trowitzsch, Ivo, et al (2017). *Robust detection of environmental sounds in binaural auditory scenes*, IEEE/ACM Transactions on Audio, Speech, and Language Processing 25(6), 1344-1356.
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## Installation
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>> startAMLTTP
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```
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The complete functionality of the AMLTTP will be discussed in detail in the accompanying
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[Online user manual](http://twoears.aipa.tu-berlin.de/doc/amlttp/) very soon.
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The complete functionality of the AMLTTP will be explained in detail in the accompanying
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[Online user manual](http://twoears.aipa.tu-berlin.de/doc/amlttp/).
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## Credits
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If you use this software, please cite as
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Ivo Trowitzsch, Youssef Kashef, and Klaus Obermayer. (2016). Auditory Machine Learning Training and Testing Pipeline: AMLTTP v2.0-alpha [Software]. Zenodo. http://doi.org/10.5281/zenodo.192504
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Ivo Trowitzsch, Youssef Kashef, and Klaus Obermayer. (2019). Auditory Machine Learning Training and Testing Pipeline: AMLTTP v3.0 [Software]. Zenodo. http://doi.org/10.5281/zenodo.2575086
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[![DOI](https://zenodo.org/badge/41019651.svg)](https://zenodo.org/badge/latestdoi/41019651)
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