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Spotify has patented a technology that aims to use recordings of users’ speech and background noise to determine what kind of music to organize and recommend to them, reports Music Business Worldwide. The company filed for the patent in 2018; it was approved on January 12, 2021.
The patent describes potential uses of the technology which involves extracting “intonation, stress, rhythm and other units of speech” from the user’s voice. The technology could also use speech recognition to identify metadata points such as emotional state, gender, age, accent, and even environment – that is, if someone is alone. or with other people – on the basis of an audio recording.
The patent filing describes how Spotify currently uses a decision tree (showing users different artists, genres, etc.) to help refine its user recommendation algorithm. “What is needed is an entirely different approach to collecting a user’s taste attributes, particularly one that is rooted in technology, so that the human activity described above (e.g. , requiring a user to provide an entry) is at least partially eliminated and effectively performed, ”the file read. Find the patent below.
It is currently unclear whether Spotify has established a roadmap for implementing this technology in its desktop or mobile applications, or what form that implementation might take. It is also unclear whether the technology currently exists or whether the patent is speculative. It should be noted that it is not abnormal for technology companies to patent technology that does not eventually hit the market.
A Spotify spokesperson made the following statement to Pitchfork:
Read “Could Spotify’s New Discovery Mode Be Considered Payola?” in the field.
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