Extracting information from music audio

Author:

Ellis Daniel P.W.1

Affiliation:

1. Columbia University, New York

Abstract

Information includes individual notes, tempo, beat, and other musical properties, along with listener preferences based on how the listener experiences music.

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science

Cited by 13 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Understanding tensions in music accessibility through song signing for and with d/Deaf and Non-d/Deaf persons;Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems;2023-04-19

2. Introduction;An Introduction to Audio Content Analysis;2022-10-25

3. libACA, pyACA, and ACA-Code: Audio content analysis in 3 languages;Software Impacts;2022-08

4. Towards Inclusive Streaming: Building Multimodal Music Experiences for the Deaf and Hard of Hearing;Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems;2021-05-08

5. Connecting the Last.fm Dataset to LyricWiki and MusicBrainz. Lyrics-based experiments in genre classification;Acta Universitatis Sapientiae, Informatica;2018-12-01

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