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Tuesday, September 27, 2016

Collaborative Learning for Language and Speaker Recognition. (arXiv:1609.08442v1 [cs.SD])

This paper presents a unified model to perform language and speaker recognition simultaneously and altogether. The model is based on a multi-task recurrent neural network where the output of one task is fed as the input of the other, leading to a collaborative learning framework that can improve both language and speaker recognition by borrowing information from each other. Our experiments demonstrated that the multi-task model outperforms the task-specific models on both tasks.



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