论文标题
清晰度：机器学习挑战以彻底改变听力设备处理
Clarity: Machine Learning Challenges to Revolutionise Hearing Device Processing
论文作者
论文摘要
在Clarity项目中，我们将进行一系列机器学习挑战，以彻底改变听力设备的语音处理。五年来，将面临三个配对的挑战。每对将包括一个竞争，重点是助听器处理（“增强”），而另一个则集中在语音感知建模（“预测”）上。增强挑战将为听力设备信号处理提供新的和改进的方法。并行的预测挑战将发展并改善预测听力受损的言语清晰度和质量的方法。该工程和物理科学研究委员会（EPSRC）资助的项目涉及谢菲尔德，索尔福德，诺丁汉和卡迪夫大学的研究人员，以及听力行业研究联盟，听力损失的行动，亚马逊和本田。要注册对挑战的兴趣，请访问www.claritychallenge.org。
In the Clarity project, we will run a series of machine learning challenges to revolutionise speech processing for hearing devices. Over five years, there will be three paired challenges. Each pair will consist of a competition focussed on hearing-device processing ("enhancement") and another focussed on speech perception modelling ("prediction"). The enhancement challenges will deliver new and improved approaches for hearing device signal processing for speech. The parallel prediction challenges will develop and improve methods for predicting speech intelligibility and quality for hearing impaired listeners. This Engineering and Physical Sciences Research Council (EPSRC) funded project involves researchers from the Universities of Sheffield, Salford, Nottingham and Cardiff in conjunction with the Hearing Industry Research Consortium, Action on Hearing Loss, Amazon, and Honda. To register interest in the challenges, go to www.claritychallenge.org.
