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Wireless Communications Speech Processing Medical Applications

新加坡国立大学王晔教授来访

      2014年6月4日,应谢磊教授邀请,新加坡国立大学(National University of Singapore, NUS)王晔副教授在西北工业大学计算机学院和陕西省语音与图像处理重点实验室进行了学术访问。当日下午16:00,王晔教授在计算机学院105学术报告厅做了题为“Sound, Music, and Medical Computing – A New Strategic Research Focus at NUS School of Computing (声音、音乐和医学计算—新加坡国立大学计算学院一个新的战略研究重点)”的学术报告。王教授为大家讲解了声音、音乐与医学的结合,并列举了一系列他们研究的利用声音、音乐为医疗服务的技术和应用情况。报告会后,王教授与师生展开了讨论,同学们积极提问,现场气氛热烈。王教授访问期间,参观了陕西省语音与图像信息处理重点实验室在语音与音频处理、图像与视频处理等方面的研究成果,并同谢磊教授、付中华教授、夏勇教授、张蓬副教授进行了深入讨论,探讨了合作计划。

      报告题目:Sound, Music, and Medical Computing – A New Strategic Research Focus at NUS School of Computing (声音、音乐和医学计算—新加坡国立大学计算学院一个新的战略研究重点)

      报告人简介:Ye Wang is an Associate Professor in the Computer Science Department at the National University of Singapore (NUS) and NUS Graduate School for Integrative Sciences and Engineering (NGS). He established and directed the sound and music computing (SMC) Lab. Before joining NUS he was a member of the technical staff at Nokia Research Center in Tampere, Finland for 9 years. His research interests include sound analysis and music information retrieval (MIR), mobile computing, and cloud computing, and their applications in music edutainment and e-Health, as well as determining their effectiveness via subjective and objective evaluations. His most recent projects involve the design and evaluation of systems to support 1) therapeutic gait training using Rhythmic Auditory Stimulation (RAS), and 2) Melodic Intonation Therapy (MIT). He is also affiliated with the School of Computer Science of Fudan University and Harvard Medical School.

      报告摘要: From Napster to YouTube and iTunes, music has always been a major driving force of Internet technologies. A huge amount of music content is now accessible to the public. Organizing and categorizing this content to support an effective recommendation system has become a significant challenge. The primary goal of our lab is to develop new technologies to address this challenge in the field of healthcare. We seek to harness the synergy of sound and music computing (SMC), mobile computing, and cloud computing technologies to promote healthy lifestyles and to facilitate disease prevention, diagnosis, and treatment in both developed countries and resource-poor developing countries. In this talk, I will give a brief introduction to the vision and new strategic research focus of NUS School of Computing, and then will present some of our past and ongoing research projects that combine wearable sensors, smartphone apps, and a cloud-based therapy delivery system to facilitate music-enhanced physical and speech therapy. Our focus is to develop high-tech, low-cost solutions that aim to (1) help recovery in patients with post-stroke speech and motor impairments, (2) improve gait and mobility and reduce fall risk in patients with Parkinson’s disease (PD), and thereby, improve Quality of Life (QoL) for both patients and caregivers. For more details, please refer to our lab webpage: www.smcnus.org.

     

 

 

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