The music streaming service Spotify has registered a patent for a new personality tracking technology that analyzes a user’s emotional state and suggests music based on it. The patent, entitled “Identifying the flavor attributes of an audio signal”, details the constant monitoring of “speech content and background noise” to provide music suggestions.
Music Business Worldwide reports that, in October 2020, Spotify filed for a patent on personality tracking technology that can determine a user’s emotional state to suggest the perfect song to listen to.
The process explained that behavioral variables, such as a user’s mood, his favorite music genre or demographics, can “match a user’s different personality traits”. Spotify suggested that this could be used to promote personalized content to users based on detected personality traits.
Now, a new Spotify patent in the U.S. shows that the company wants to use the technology to further analyze users, using speech recognition to determine their “emotional state, gender, age or accent”. These attributes can then be used to recommend content.
The new patent is entitled “Identifying the flavor attributes of an audio signal” and was registered in February 2018 and granted on January 12, 2021. The patent can be read in full here.
According to the application, the new patent covers a “method for processing a supplied audio signal that includes speech content and background noise” and then “identifying reproducible content, based on the content of the processed audio signal. “.
Spotify says that “it is common for a streaming media application to include features that provide personalized media recommendations to a user.”
Read more at Music Business Worldwide here.
Lucas Nolan is a reporter for Breitbart News who covers issues of free speech and online censorship. Follow him on Twitter @LucasNolan or contact via secure email at [email protected]