SONOTELLER
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About
SONOTELLER is an experimental AI music analysis engine that simplifies the way music lovers understand and organize their music. It 'listens' to music files and produces a comprehensive profile of a song’s summary, language recognition, explicit content flagging, genres and subgenres, instruments played, moods, and beyond. It offers automatic tagging, making music easier to understand and discover across multiple DSPs while empowering search engines, playlist creation, recommendations, audience profiling, and more. SONOTELLER API offers a solution by autotagging music and lyrics, providing valuable insights to optimize catalog delivery to DSPs with DDEX compliant metadata, including lyrical themes.
Platform
Task
Features
• music analysis
• lyric analysis
• api endpoints for music, lyrics analysis and sections tagging
• music auto-tagging
• identify the golden minute of a song
• identify musical attributes such as genres, subgenres, moods, instruments, bpm or key
• song analysis
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