Weakly Supervised Multi-Embeddings Learning of Acoustic Models

Understand

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.