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arXiv · 1609.08442

Collaborative Learning for Language and Speaker Recognition

Lantian Li·Zhiyuan Tang·Dong Wang·Andrew Abel·Yang Feng·Shiyue Zhang
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Abstract

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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Lantian Li, Zhiyuan Tang, Dong Wang, Andrew Abel, Yang Feng, Shiyue Zhang. 2016-09-27. Collaborative Learning for Language and Speaker Recognition. https://arxiv.org/abs/1609.08442

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