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Panoramica

Elementi costitutivi di grandi esperienze musicali

In this era of mobile and connected IoT devices, fans everywhere have more ways than ever to enjoy and discover music anytime and anywhere they want to listen. But with so much content available, digital entertainment services are challenged with managing and classifying massive catalogs, including new releases, artist collaborations and track remixes.

Gracenote Global Music Data is the most comprehensive collection of factual and descriptive metadata and rich media for the most popular music worldwide. With deep, clean data and standardized IDs, Gracenote enables entertainment services to simplify how fans find, discover, and connect with more of the music they love.

Using advanced machine learning techniques combined with an experienced global editorial team, Gracenote classifies musical styles across massive catalogs. Artist-level descriptors include Genres, Languages, Origin, Era & Artist Type. Recording-level descriptors include Mood, Tempo and Style. This deep level of editorial enrichment supports discovery use cases such as playlisting, and provides key inputs for usage in robust world-class recommendation engines.

Caratteristiche

Descrittori profondi e ricchi per la musica più popolare in tutto il mondo

Descrittori musicali

Potenziate la scoperta della musica e la curatela delle playlist con metadati descrittivi per milioni di artisti e registrazioni.

Registrazioni normalizzate

Ridurre la duplicazione delle tracce con un'unica rappresentazione per le registrazioni uniche e i collegamenti alle collaborazioni.

Potenziate le ricerche con i dati strutturati necessari per addestrare la ricerca vocale e testuale su numerose piattaforme.

Media ricchi

Migliorate l'esperienza dell'utente con copertine di artisti e album precise, di alta qualità e flessibili nelle dimensioni.

Use cases

Rivoluzionare il modo in cui la musica del mondo viene organizzata e scoperta

Piattaforme di streaming e case automobilistiche

Improve music discovery, and derive content analytics based on Gracenote’s Music Descriptors at the artist and recording level. Read how Music Descriptors were used to analyze the sonic moods of entries and past winners of Eurovision.

Rispondere a domande critiche come:

• How can I create more accurate genre and mood-based playlists for listeners?
• What types of music and artists are driving listening behavior on my platform?
• How can I better classify global music that is popular in international regions?

MVPD e social media

Espandete il vostro raggio d'azione con il collegamento multipiattaforma degli artisti attraverso i cataloghi dei media digitali, compresa la TV lineare e on-demand e i servizi di musica in streaming.

Rispondere a domande critiche come:

• How can I help fans of a musical artist locate movies and podcasts they are in?
• How can I increase user engagement on my platform?
• How can I link albums and recordings by music artists to streaming platforms?

Società di raccolta ed editori

Migliorare e arricchire i metadati delle registrazioni attraverso oggetti normalizzati e artisti disambiguati.

Rispondere a domande critiche come:

• How can I locate a set of track-level identifiers, such as ISRCs, for a given recording?
• How can I make better content recommendations across music, TV, film, and more for sync placement?
• How can I surface a set of name variants or alternate names for artists billed with different names or different scripts?

Copertura

Copertura ineguagliabile per tutte le esigenze di metadati musicali

Gracenote fornisce soluzioni di contenuti globali e locali nelle regioni chiave delle Americhe, dell'Asia-Pacifico, dell'Europa, del Medio Oriente e dell'Africa.

An editorial team of music specialists located in 12 countries globally supports Gracenote’s Global Music Data product. These local editorial teams work on curating factual and descriptive metadata, along with rich media, for the most popular music around the world.