BriefGPT.xyz
Nov, 2019
在弱监督下学习分离声音中的强项
Finding Strength in Weakness: Learning to Separate Sounds with Weak Supervision
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Fatemeh Pishdadian, Gordon Wichern, Jonathan Le Roux
TL;DR
本文提出了使用弱标签来训练源分离系统的目标函数和网络架构,使用声音事件分类器评估分离器的性能,并在城市环境中使用合成混合事件数据库对算法的性能进行了基准测试。
Abstract
While there has been much recent progress using
deep learning
techniques to separate speech and music audio signals, these systems typically require large collections of isolated sources during the training process. When extending
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