Data Musik Global

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Ikhtisar

Blok bangunan yang mendorong pengalaman musik yang luar biasa

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.

Fitur

Deskriptor yang mendalam dan kaya untuk musik paling populer di seluruh dunia

Deskriptor musik

Penemuan musik dan kurasi daftar putar yang kuat dengan metadata deskriptif untuk jutaan Artis dan Rekaman.

Rekaman yang dinormalisasi

Kurangi duplikasi track dengan representasi tunggal untuk rekaman unik dan tautan ke kolaborasi.

Pencarian daya dengan data terstruktur yang diperlukan untuk melatih pencarian suara dan teks di berbagai platform.

Media yang kaya

Tingkatkan pengalaman pengguna dengan artis dan sampul album yang akurat, berkualitas tinggi, dan ukuran yang fleksibel.

Kasus penggunaan

Merevolusi bagaimana musik dunia diatur dan ditemukan

Platform streaming dan produsen mobil

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.

Menjawab pertanyaan-pertanyaan kritis seperti:

• 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 dan media sosial

Perluas jangkauan Anda dengan menghubungkan artis lintas platform di seluruh katalog media digital, termasuk TV linear dan on-demand, serta layanan musik streaming.

Menjawab pertanyaan-pertanyaan kritis seperti:

• 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?

Lembaga koleksi dan penerbit

Meningkatkan dan memperkaya metadata Rekaman melalui objek yang dinormalisasi dan artis yang tidak dikenal.

Menjawab pertanyaan-pertanyaan kritis seperti:

• 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?

Cakupan

Cakupan yang tak tertandingi untuk semua kebutuhan metadata musik Anda

Gracenote menyediakan solusi konten global dan lokal di wilayah-wilayah utama di Amerika, Asia-Pasifik, Eropa, Timur Tengah, dan Afrika.

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.