Weakly Supervised Multi-Embeddings Learning of Acoustic Models. Synnaeve, G. & Dupoux, E. April, 2015. arXiv:1412.6645 [cs]
Weakly Supervised Multi-Embeddings Learning of Acoustic Models [link]Paper  doi  abstract   bibtex   
We trained a Siamese network with multi-task same/different information on a speech dataset, and found that it was possible to share a network for both tasks without a loss in performance. The first task was to discriminate between two same or different words, and the second was to discriminate between two same or different talkers.
@misc{synnaeve_weakly_2015,
	title = {Weakly {Supervised} {Multi}-{Embeddings} {Learning} of {Acoustic} {Models}},
	url = {http://arxiv.org/abs/1412.6645},
	doi = {10.48550/arXiv.1412.6645},
	abstract = {We trained a Siamese network with multi-task same/different information on a speech dataset, and found that it was possible to share a network for both tasks without a loss in performance. The first task was to discriminate between two same or different words, and the second was to discriminate between two same or different talkers.},
	urldate = {2023-01-09},
	publisher = {arXiv},
	author = {Synnaeve, Gabriel and Dupoux, Emmanuel},
	month = apr,
	year = {2015},
	note = {arXiv:1412.6645 [cs]},
	keywords = {Computer Science - Computation and Language, Computer Science - Machine Learning, Computer Science - Sound, I.2.6, I.2.7, I.5.1},
}

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