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15 Φεβ 2022 · The value chain is a good tool to localize information sources and plan to collect data in a systematic way. For example, in the case of our music value chain we must focus on some challenges: Unlike in other industries, most hours of music are listened to without paying consumers (radio, YouTube, ad-supported streams, home copying, torrenting).
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OpenMusE brings together music industry stakeholders and...
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11 Ιαν 2022 · The general visualization techniques to help represent data in an effective way are trend charts, comparison charts, pie charts, connections, maps, etc. These can be constructed manually or by the computer. For example, spectrograms are used by Cyanite to train the computer to identify patterns in the audio sounds.
22 Οκτ 2021 · This article intends to explore all kinds of metadata used in the industry from basic descriptions of acoustic properties to company proprietary data. The article was created with helpful input from Music Tomorrow: Music data is a multi-faceted thing.
27 Ιουλ 2020 · Exactly how we get from unstructured data to actionable intelligence is presented in a simple (though surprisingly complex once you start digging in) chart known as the Data Pyramid. Let’s get into it!
24 Οκτ 2021 · Moreover, datafication triggers innovation and plays a substantial role in defining the fragmentation and convergence that characterize the digital music industry (Tschmuck), with impact on structures of power and gatekeeping (Bonini and Gandini; Morgan; Seaver, “Captivating”).
22 Μαΐ 2017 · Music charts have typically combined two pieces of information: what people are listening to (radio, jukeboxes and, today, streaming) and what records they’re buying.
12 Απρ 2023 · For example, data on listener preferences can inform decisions about song structure, melody, and lyric themes. Through the mining of data from music downloads and streaming , industry professionals can identify emerging genres or styles that could be the next big hit.
