Audio Data Exploration: New Insights and Value

音频数据探索：新见解和价值

• 批准号: EP/M507088/1
• 负责人: Simon Dixon
• 金额: $ 9.87万
• 依托单位: Queen Mary University of London
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2014
• 资助国家: 英国
• 起止时间: 2014 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FM507088%2F1
• 关键词: Audio; Data; Exploration; New; Insights

The "Audio Data Exploration: New Insights and Value" project is a collaboration between Audio Analytic Ltd. and theCentre for Digital Music & Centre for Intelligent Sensing at Queen Mary University of London (QML). Compared tomathematical, textual or visual data, audio data has remained largely underexploited and undervalued, and thus representsan opportunity to grow innovation and to develop new markets. While Automatic Speech Recognition and Music Analysisare now creating some industrial value, R&D needs to be conducted to tackle the challenges posed by AutomaticEnvironmental Sound Recognition defined in a broader sense. The newly developed advanced audio data analysis andmodelling techniques will create value across a variety of applicative domains. While proven markets include ProfessionalSecurity and Home Security, a range of novel markets can be developed in relation to Multimedia Database Indexing,Environmental and Industrial Monitoring, the Internet of Things and more. The project will gather the newly developedaudio analysis and modelling techniques into a demonstrator instantiated as a "Personal Audio Space Indexer".

“音频数据探索：新见解和价值”项目是 Audio Analytic Ltd. 与伦敦玛丽女王大学数字音乐中心和智能传感中心 (QML) 之间的合作项目。与数学、文本或视觉数据相比，音频数据在很大程度上仍未得到充分利用和低估，因此代表了发展创新和开发新市场的机会。虽然自动语音识别和音乐分析现在正在创造一些工业价值，但需要进行研发以应对更广泛意义上的自动环境声音识别所带来的挑战。新开发的先进音频数据分析和建模技术将在各种应用领域创造价值。虽然成熟的市场包括专业安全和家庭安全，但可以开发一系列与多媒体数据库索引、环境和工业监控、物联网等相关的新市场。该项目将把新开发的音频分析和建模技术收集到一个演示器中，实例化为“个人音频空间索引器”。

项目成果

Automatic Environmental Sound Recognition: Performance Versus Computational Cost

• DOI: 10.1109/taslp.2016.2592698
• 发表时间: 2016-07
• 期刊: IEEE/ACM Transactions on Audio, Speech, and Language Processing
• 作者: Siddharth Sigtia;Adam M. Stark;Sacha Krstulovic;Mark D. Plumbley

Chime-home: a dataset for sound source recognition in a domestic environment

• DOI: 10.1109/waspaa.2015.7336899
• 发表时间: 2015-01-01
• 期刊: 2015 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA). Proceedings
• 作者: Foster, Peter;Sigtia, Siddharth;Plumbley, Mark D.
• 通讯作者: Plumbley, Mark D.

DETECTION OF OVERLAPPING ACOUSTIC EVENTS USING A TEMPORALLY-CONSTRAINED PROBABILISTIC MODEL

• DOI: 10.1109/icassp.2016.7472919
• 发表时间: 2016-01-01
• 期刊: 2016 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING PROCEEDINGS
• 作者: Benetos, Emmanouil;Lafay, Gregoire;Plumbley, Mark D.
• 通讯作者: Plumbley, Mark D.