| 書目名稱 | Computational Analysis of Sound Scenes and Events | | 編輯 | Tuomas Virtanen,Mark D. Plumbley,Dan Ellis | | 視頻video | http://file.papertrans.cn/233/232094/232094.mp4 | | 概述 | Gives an overview of methods for computational analysis of sounds scenes and events, allowing those new to the field to become fully informed.Covers all the aspects of the machine learning approach to | | 圖書封面 |  | | 描述 | .This book presents computational methods for extracting the useful information from audio signals, collecting the state of the art in the field of sound event and scene analysis. The authors cover the entire procedure for developing such methods, ranging from data acquisition and labeling, through the design of taxonomies used in the systems, to signal processing methods for feature extraction and machine learning methods for sound recognition. The book also covers advanced techniques for dealing with environmental variation and multiple overlapping sound sources, and taking advantage of multiple microphones or other modalities. The book gives examples of usage scenarios in large media databases, acoustic monitoring, bioacoustics, and context-aware devices. Graphical illustrations of sound signals and their spectrographic representations are presented, as well as block diagrams and pseudocode of algorithms.. | | 出版日期 | Book 2018 | | 關(guān)鍵詞 | Audio signal processing; Computational auditory scene analysis; Acoustic pattern recognition; Sound eve | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-319-63450-0 | | isbn_softcover | 978-3-319-87559-0 | | isbn_ebook | 978-3-319-63450-0 | | copyright | Springer International Publishing AG 2018 |
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