@inbook {614,
	title = {Beyond ImageNet: Deep Learning in Industrial Practice},
	booktitle = {Applied Data Science},
	year = {2019},
	pages = {205-232},
	publisher = {Springer},
	organization = {Springer},
	isbn = {978-3-030-11820-4},
	issn = {978-3-030-11821-1},
	doi = {https://doi.org/10.1007/978-3-030-11821-1_12},
	url = {https://link.springer.com/chapter/10.1007\%2F978-3-030-11821-1_12},
	author = {Stadelmann, Thilo and Tolkachev, Vasily and Sick, Beate and D{\"u}rr, Oliver}
}
@conference {stadelmann2018capturing,
	title = {Capturing Suprasegmental Features of a Voice with RNNs for Improved Speaker Clustering},
	booktitle = {IAPR Workshop on Artificial Neural Networks in Pattern Recognition},
	year = {2018},
	pages = {333{\textendash}345},
	publisher = {Springer},
	organization = {Springer},
	url = {https://www.springerprofessional.de/capturing-suprasegmental-features-of-a-voice-with-rnns-for-impro/16083698}
}
@conference {meier2018learning,
	title = {Learning Neural Models for End-to-End Clustering},
	booktitle = {IAPR Workshop on Artificial Neural Networks in Pattern Recognition},
	year = {2018},
	pages = {126{\textendash}138},
	publisher = {Springer},
	organization = {Springer},
	doi = {https://doi.org/10.1007/978-3-319-99978-4_10},
	url = {https://link.springer.com/chapter/10.1007\%2F978-3-319-99978-4_10}
}
@conference {lukic2017learning,
	title = {Learning embeddings for speaker clustering based on voice equality},
	booktitle = {Machine Learning for Signal Processing (MLSP), 2017 IEEE 27th International Workshop on},
	year = {2017},
	pages = {1{\textendash}6},
	publisher = {IEEE},
	organization = {IEEE}
}
@conference {lukic2016speaker,
	title = {Speaker Identification and Clustering using Convolution Neural Networks},
	booktitle = {IEEE International workshop on Machine Learning for Signal Processing},
	year = {2016}
}
