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

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:
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
项目状态:
已结题
起止时间:
2013 至 --

项目摘要

项目成果

Zoran Cvetkovic的其他基金

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相关文献

中文摘要
翻译
访问加州大学伯克利分校统计系期间,Cvetkovic教授将由统计机器学习组的余教授接待。他将专注于俞教授小组当前活动的主题,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。所涉及的具体问题包括稀疏建模(如套索,压缩传感),结构稀疏,分析和方法,光谱聚类,和应用程序的数据来自不同的跨学科领域,从神经科学到社交网络。Cvetkovic教授与余教授将于是次访问中,就高维学习问题的合作方向提出建议,并申请研究资助。Cvetkovic教授曾与伦敦国王学院数学系Sollich教授合作进行EPSRC项目EP/D 053005/1,余教授开发了一种非正统的方法,在语音的声学波形的高维空间中进行鲁棒语音识别。Horacio Franco博士是SRI国际语音技术和研究实验室主任,他在2010年因解决了自动语音识别系统对加性噪声的敏感性问题而获得了DARPA的主要奖项,我认为这种方法是开创性的,并表示有兴趣探索合作的场所。这次访问的目的是调查Cvetkovic教授开发的方法Cvetkovic教授和他的合作者可以更接近实践,并在此基础上研究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资助提案。在国王学院,Cvetkovic教授已经开始研究一种新的多通道音频技术,该技术得到EPSRC资助EP/F001142/1的支持。该项目产生了大量出版物和专利组合。参观世界领先的音乐和声学技术中心之一,如CCRMA,将非常有利于利用这一势头渗透到该领域,这仍然是Cvetkovic教授的一个新的应用领域,在更深的层次上,扩大其范围,建立合作,并为未来的资助提案提供信息。在CCRMA,Cvetkovic教授将主要与Julius Smith教授互动,研究多通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教授关于使用数字波导网络(DWN)超快速再现多通道音频的大量工作。这是一个领域,这是一个重大的学术兴趣,需要在信号处理,声学,心理声学和计算机科学的接口跨学科的方法,以及一个很大的相关性,虚拟现实和游戏应用。虽然这将是最初的重点领域,在CCRMA还有其他几个正在进行的项目,这些项目与Cvetkovic教授的研究或在国王大学电信研究所的研究密切相关(移动的电话管弦乐队,声音在空间,音乐在虚拟世界),以及为音乐系和电信研究所之间可能的合作项目提供宝贵灵感的项目在国王和CCRMA(声波在互联网上的实时回声,和历史记录)。最后,Cvetkovic教授音频技术的潜在许可证持有者,如DIGITAL,杜比,微软等大多数最大的公司都位于美国西海岸。Cvetkovic教授在CCRMA的存在将加速对许可机会的探索,因为这些公司和其他相关公司经常访问CCRMA,并且位于湾区或离它不远。
英文摘要
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.
期刊论文(4)
专著(0)
科研奖励(0)
会议论文
DOI: --
发表时间: 2019
期刊:
影响因子: --
作者: [Erdem, E.]
通讯作者: Erdem, E.
DOI: 10.1109/taslp.2015.2438547
发表时间: 2015-02
期刊: IEEE/ACM Transactions on Audio, Speech, and Language Processing
影响因子: --
作者: [E. D. Sena;H. Hacıhabiboğlu;Z. Cvetković;J. Smith]
通讯作者: 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
影响因子: --
作者: [De Sena E]
通讯作者: De Sena E
Challenges in Immersive Audio Technology
  • 批准号:
    EP/X032981/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $121.51万
  • 财政年份:
    2024
  • 负责人:
    Zoran Cvetkovic
  • 依托单位:
SpeechWave
  • 批准号:
    EP/R012067/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $93.54万
  • 财政年份:
    2018
  • 负责人:
    Zoran Cvetkovic
  • 依托单位:
Perceptual Sound Field Reconstruction and Coherent Emulation
  • 批准号:
    EP/F001142/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $49.67万
  • 财政年份:
    2008
  • 负责人:
    Zoran Cvetkovic
  • 依托单位:
Robust Syllable Recognition in the Acousic-Waveform Domain
  • 批准号:
    EP/D053005/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $26.44万
  • 财政年份:
    2006
  • 负责人:
    Zoran Cvetkovic
  • 依托单位:
海外基金