Content-based audio retrieval thesis - nrccooperative.org

Content-based Audio Retrieval Thesis

https://repository.ntu.edu.sg/bitstream/handle/ In this thesis, a comprehensive literature survey of content-based audio sig-nal processing has been carried out. ir. Therefore, this thesis contributed to different phases of the system development; including sys-tem design, graphical user interface development, feature extraction, similarity measures, and relevance feedback This chapter covers the research aspects of audio feature extraction, generic content-based audio retrieval thesis audio classification and retrieval, music content analysis, and content-based music retrieval, providing an overview of current research in the area. RESEARCH Open Access An evolutionary feature synthesis approach for content-based audio retrieval Toni Mäkinen*, Serkan Kiranyaz, Jenni Raitoharju and Moncef Gabbouj Abstract A vast amount of audio features have been proposed in the literature to characterize the content of audio signals.. formation retrieval from a more content-based perspective. Keywords: Content-based Music Information Retrieval, Music, Locality Sensitive Hash-ing, Dynamic Time Warping, MIDI, Audio, ranscriptiT on. Given an audio query, such as polyphonic musical piece, this thesis address the problem of retrieving a matching (similar) musical score data from a …. A content-based music retrieval could facilitate such searches.


For content, we focus on organiza-tion through morphological description. 174 Completed Works. Today, content-based audio retrieval systems are employed in manifold application domains and scenarios such as music retrieval, content-based audio retrieval thesis speech recognition, and acoustic surveillance Beat Tracking, Music Segmentation, and Audio Retrieval Peter M. Serra a study on novel techniques for heart sound and murmur classification, search and retrievel a thesis submitted by patil kiran kumari for the award of the degree of doctor of philosophy department of computer science and engineering dr. dissemination, musicology analysis, and so on. Most of the current search engines in …. educational and research institute university (declared u/s 3 of the ugc act 1956) chennai 600 095. Today, content-based audio retrieval systems are employed in manifold application domains and scenarios such as music retrieval, speech recognition, and acoustic surveillance di erent feature descriptors for content-based music retrieval and content-based 3D model retrieval.

  • CONTENT BASED AUDIO WATERMARKING AND RETRIEVAL USING TIME-FREQUENCY ANALYSIS by Shahrzad Esmaili M.Eng., Ryerson University, Toronto, 2002 A thesis presented to Ryerson University in partial fulfillment of the requirement for the degree of Master of Applied Science in the Program of Electrical and Computer Engineering Toronto, Ontario, Canada, 2004. content-based audio retrieval thesis
  • This content-based approach differs from retrieval approaches that index media files using metadata such as file names and user tags This thesis investigates three of the core components of content-based music retrieval: content-based audio retrieval thesis audio features, similarity functions and indexing methods.