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报告人：Wang Ye单位：新加坡国立大学计算机学院副教授时间：2012 年 12 月 27 日下午 14:00地点：张江校区计算机楼 305 会议室联系人：李伟 weili-fudan@fudan.edu.cn ABSTRACT: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 present a collaborative research project between the SMC lab at National University of Singapore and the Music, Neuroimaging, and Stroke Recovery Lab at Beth Israel Deaconess Medical Center (BIDMC) / Harvard Medical School. We are developing a cloud-based therapy delivery system that uses music to enhance limb function and speech in patients with neurological impairments using smart devices such as iPhone. Our focus is to develop high-tech, low-cost solutions that aim to (1) facilitate 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.In this talk, I will also introduce a few new funded projects at NUS SMC Lab, followed by live demos and a discussion of possible research collaborations, available PhD scholarships and research positions in our multidisciplinary team which call for expertise in statistical signal processing, optimization, machine learning as well as human computer interaction.BIO: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). In the academic year 2011 - 2012 he has taken his sabbatical leave at the School of Computer Science of Fudan University and at Harvard Medical School.摘要： 从 Napster 到 YouTube，再到 iTunes，音乐一直是 IT 领域中的一支重要力量。现在，海量的音乐内容可以容易的为大众所获取，如何将这些音乐内容进行组织和分类并构建一个有效的推荐系统已经成为一个重要的研究课题。我们实验室的一个主要研究方向就是致力于在医疗领域内解决这一挑战。我们尝试将声音及音乐计算 (sound and music computing)、移动计算和云计算结合起来，同时针对发达国家和资源匮乏的发展中国家，提供一系列疾病预防、疾病诊断、临床治疗及推广和提倡健康生活方式的解决方案。在本次讲座中，我将介绍新加坡国立大学声音与音乐计算实验室 (Sound and Music Computing Lab, NUS) 和哈佛医学院音乐、神经影像和中风康复实验室 (Music, Neuroimaging and Stroke Recovery Lab, BIDMC) 的一个合作项目。在这个项目中，我们尝试构建一个基于私有云的诊疗系统，通过 iPhone 等智能设备，帮助病人增强肢体机能和语言机能。研究的重点是开发出高技术、低成本的解决方案以实现：1) 帮助中风导致失语的患者恢复语言机能，2) 帮助帕金森氏症患者增强步态稳定和行走机能以降低跌倒几率；从而，帮助这些病人及其家属提高生活质量。此外，我还将介绍一些我们声音与音乐计算实验室 (Sound and Music Computing Lab, NUS) 的其他项目及其相关演示，并将讨论可能的研究合作机会、我们实验室的 PhD 奖学金及开放的研究岗位。我们实验室的研究方向覆盖多个学科及其交叉领域，欢迎统计信号处理、最优化过程、机器学习及人机交互领域的同仁加盟。个人简介： 王晔，新加坡国立大学计算机学院副教授，新加坡国立大学理工研究生院副教授。新加坡国立大学声音与音乐计算实验室的创始人和负责人。加入新加坡国立大学之前，曾就职于芬兰诺基亚坦佩雷研究中心，从事研究工作达 9 年。2011-2012 年度，曾赴复旦大学计算机学院和哈佛医学院访问。研究方向包括声音分析、音乐信息检索、移动计算、云计算及其在音乐教育、电子化医疗等领域的应用和主客观评估方法。近年的研究项目涉及为 1) 基于节奏化听觉刺激 (RAS) 的行走机能训练，2) 旋律语调治疗法 设计的系统及其评估。
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