Visits to University of California, Berkeley, Stanford University, and SRI International

访问加州大学伯克利分校、斯坦福大学、SRI International

• 批准号: EP/K034626/1
• 负责人: Zoran Cvetkovic
• 金额: $ 2.68万
• 依托单位: King's College London
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2013
• 资助国家: 英国
• 起止时间: 2013 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FK034626%2F1
• 关键词: Visits; University; California; Berkeley; Stanford

During his visit to the Department of Statistics, University of California, Berkeley, Prof. Cvetkovic will be hosted by Prof. Yu, in the Statistical Machine Learning group. He will be focusing on topics of the current activity of Prof. Yu's group, that can be broadly described as statistical machine learning theory, methodologies, and algorithms for solving high-dimensional data problems. Particular problems covered include sparse modelling (e.g. Lasso, compressed sensing), structured sparsity, analysis and methods for spectral clustering, and applications to data which come from a diverse range of interdisciplinary areas, ranging from neuroscience to social networks. During this visit, Prof. Cvetkovic and Prof. Yu will set forth directions for collaboration on problems in learning in high-dimensions, leading to a research grant proposal.During his previous EPSRC project, EP/D053005/1, Prof. Cvetkovic in collaboration with Prof. Sollich, Department of Mathematics, King's College London, and Prof. Yu developed an unorthodox approach to robust speech recognition in high-dimensional spaces of acoustic waveforms of speech. Dr. Horacio Franco, Director of Speech Technology and Research Laboratory of SRI International, who in 2010 won a major DARPA award for solving the problem of the sensitivity of automatic speech recognition systems to additive noise, finds this approach groundbreaking and expresses a strong interest in exploring venues for collaboration.The purpose of this visit would be to investigate ways in which the approach developed by Prof. Cvetkovic and his collaborators can be brought closer to practice and based on that investigate the directions of long-term collaboration and possible joint grant proposals between SRI International, King's College London, and UC Berkeley.At King's College, Prof. Cvetkovic has commenced work on a new multichannel audio technology, supported by EPSRC grant EP/F001142/1. The project produced a considerable publication volume and patent portfolio. A visit to one of world leading centres for music and acoustics technologies, such as CCRMA, would be very beneficial for taking advantage of this gained momentum to penetrate the field, which is still a new application area for Prof. Cvetkovic, at a deeper level, expand its scope, establish collaborations, and inform future grant proposals. At CCRMA, Prof. Cvetkovic will be interacting primarily with Prof. Julius Smith, working on multichannel audio technologies, and other signal processing problems in audio and acoustics. A recent work of Prof. Cvetkovic complements a large volume of work of Prof. Smith on ultra fast rendition of multichannel audio using digital waveguide networks (DWNs). This is an area which is of a significant academic interest, requiring interdisciplinary approaches at the interface of signal processing, acoustics, psychoacoustic, and computer science, as well of a great relevance to virtual reality and gaming applications. While this would be the area of initial focus, at CCRMA there are several other ongoing projects which are closely related to Prof. Cvetkovic's research or research in the Institute of Telecommunications at King's (Mobile Phone Orchestra, Sound in Space, Music in Virtual Worlds), as well as projects which could provide valuable inspiration for possible collaborative projects between the Department of Music and the Institute of Telecommunications at King's and CCRMA (Sound Waves on the Internet for Real-time Echoes, and the Historical Recordings). Finally, most of the largest companies which are potential licensees of Prof. Cvetkovic'c audio technology, such as DTS, Dolby, Microsoft, are based on the west coast of the US. The presence of Prof. Cvetkovic at CCRMA would accelerate the exploration of licensing opportunities, as these and other relevant companies frequently visit CCRMA, and are situated in the Bay Area or not too far from it.

在访问加州大学伯克利分校统计系期间，Cvetkovic教授将在统计机器学习小组中由Yu教授接待。他将专注于余教授团队当前活动的主题，可以广泛地描述为解决高维数据问题的统计机器学习理论、方法和算法。具体涉及的问题包括稀疏建模(例如，套索，压缩传感)、结构化稀疏、频谱聚类的分析和方法，以及对来自从神经科学到社会网络的各种跨学科领域的数据的应用。在这次访问中，Cvetkovic教授和Yu教授将阐述在高维学习问题上的合作方向，从而产生一项研究拨款申请。在他之前的EPSRC项目EP/D053005/1中，Cvetkovic教授与伦敦国王学院数学系Sollich教授和Yu教授合作开发了一种在高维语音波形空间中进行稳健语音识别的非正统方法。SRI国际的语音技术和研究实验室主任Horacio Franco博士在2010年因解决自动语音识别系统对加性噪声的敏感性问题而获得DARPA大奖，他发现这种方法具有开创性，并对探索合作场所表现出强烈的兴趣。此次访问的目的将是调查如何使切维特科维奇教授及其合作者开发的方法更接近实践，并在此基础上调查SRI国际、伦敦国王学院和加州大学伯克利分校之间长期合作的方向和可能的联合拨款建议。Cvetkovic教授已经开始研究一种新的多声道音频技术，该技术得到了EPSRC赠款EP/F001142/1的支持。该项目产生了相当大的出版量和专利组合。参观世界领先的音乐和声学技术中心之一，如CCRMA，将非常有益于利用这一势头深入该领域，这对Cvetkovic教授来说仍然是一个新的应用领域，扩大其范围，建立合作关系，并为未来的拨款申请提供信息。在CCRMA，Cvetkovic教授将主要与Julius Smith教授互动，研究多声道音频技术以及音频和声学中的其他信号处理问题。Cvetkovic教授最近的一项工作补充了Smith教授在使用数字波导网络(DWN)超高速再现多声道音频方面的大量工作。这是一个非常有学术意义的领域，需要在信号处理、声学、心理声学和计算机科学的界面上采取跨学科的方法，以及与虚拟现实和游戏应用程序非常相关的方法。虽然这将是最初的重点领域，但在CCRMA，还有其他几个正在进行的项目与Cvetkovic教授在国王大学电信研究所(移动电话管弦乐队、太空中的声音、虚拟世界中的音乐)的研究密切相关，以及可以为音乐系与国王大学电信研究所和CCRMA(实时回声的互联网声波和历史录音)之间可能的合作项目提供宝贵灵感的项目。最后，大多数可能获得Cvetkovic‘c教授音频技术许可的最大公司，如DTS、杜比、微软，都设在美国西海岸。Cvetkovic教授出席CCRMA将加快探索许可机会，因为这些公司和其他相关公司经常访问CCRMA，并且位于旧金山湾区或离其不太远。

项目成果

PERCEPTUAL SOUNDFIELD RECONSTRUCTION IN THREE DIMENSIONS VIA SOUND FIELD EXTRAPOLATION

通过声场外推进行三维感知声场重建

• 发表时间: 2019
• 作者: Erdem, E.

Efficient Synthesis of Room Acoustics via Scattering Delay Networks

• DOI: 10.1109/taslp.2015.2438547
• 发表时间: 2015-02
• 期刊: IEEE/ACM Transactions on Audio, Speech, and Language Processing
• 作者: E. D. Sena;H. Hacıhabiboğlu;Z. Cvetković;J. Smith

Localization Uncertainty in Time-Amplitude Stereophonic Reproduction

时幅立体声再现中的定位不确定性

• DOI: 10.1109/taslp.2020.2975419
• 发表时间: 2020
• 期刊: IEEE/ACM Transactions on Audio, Speech, and Language Processing
• 作者: De Sena E