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Titlebook: Computer Assisted Music and Dramatics; Possibilities and Ch Ambuja Salgaonkar,Makarand Velankar Conference proceedings 2023 Springer Nature

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書(shū)目名稱(chēng)Computer Assisted Music and Dramatics
副標(biāo)題Possibilities and Ch
編輯Ambuja Salgaonkar,Makarand Velankar
視頻videohttp://file.papertrans.cn/234/233510/233510.mp4
概述Covers articles from the researchers of international repute in the domain.Presents articles from international level performing artists in Indian classical music, dance, drama, and folk music.Is comb
叢書(shū)名稱(chēng)Advances in Intelligent Systems and Computing
圖書(shū)封面Titlebook: Computer Assisted Music and Dramatics; Possibilities and Ch Ambuja Salgaonkar,Makarand Velankar Conference proceedings 2023 Springer Nature
描述.This book is intended for researchers interested in using computational methods and tools to engage with music,?dance and theatre. The chapters have evolved out of presentations and deliberations at an international workshop entitled?.Computer Assisted Music and Dramatics: Possibilities and Challenges?.organized by University of Mumbai in honour of Professor Hari Sahasrabuddhe, a renowned educator and a pioneering computational musicologist (CM) of Indian classical music...The workshop included contributions from CM as well as musicians with a special focus on South Asian arts. The case studies and reflective essays here are based on analyses of genres, practices and theoretical constructs modelled computationally. They offer a balanced and complementary?perspective to help innovation in the synthesis of music by extracting information from recorded performances. This material would be of interest to scholars of the sciences and humanities and facilitate exchanges and generation of ideas..
出版日期Conference proceedings 2023
關(guān)鍵詞Acoustics and Engineering of Music; Music Information Retrieval; Machine learning for Compositions; Aut
版次1
doihttps://doi.org/10.1007/978-981-99-0887-5
isbn_softcover978-981-99-0886-8
isbn_ebook978-981-99-0887-5Series ISSN 2194-5357 Series E-ISSN 2194-5365
issn_series 2194-5357
copyrightSpringer Nature Singapore Pte Ltd. 2023
The information of publication is updating

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Neurologische Untersuchungstechnik,classification, playlist generation, performance evaluation and music information retrieval. Music data available in various digital forms, such as metadata, notations, audio files, online comments and tags and lyrics, is used as an input to the music analyser system. Various approaches are used on
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,Prüfung des geistigen Besitzstandes,mphasis at a specific time, orchestration, melodic or rhythmic structures, and variations in different musical parameters. Identifying the prosody of a given specification from a collection of audio clips is a problem that could be attempted by employing machine learning. This paper presents state-o
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