You Hear Me? Spotify Seeks to Analyze User Emotions, Accents to Personalize Music Suggestions

Created in Sweden, audio streaming platform Spotify is recognized worldwide as one of the best algorithms for suggesting music according to the tastes and preferences of the user.

Spotify has been granted a patent for technology that will reportedly allow the platform to personalize music content based on user speech, emotion and even accent, Axios reported on Saturday.

Apparently aiming to dig deeper into the personality of its users, Spotify in its new patent, has introduced a “method for processing a provided audio signal that includes speech content and background noise” and then “identifying playable content, based on the processed audio signal content.” 

The new technology will reportedly be able to detect “emotional state, gender, age, or accent” of the one using the app and then classify the data into categories including “happy, angry, sad or neutral” by analyzing so-called ‘environmental metadata’.

The collected data will be processed in accordance with Parrot’s emotional framework – a tree-structured list of emotions that includes different levels – and a hidden Markov model, the architecture used to statistically determine unknown states by observing those known.

It is not currently known as to whether the new technology will actually be implemented into the app, as not everything that gets a patent can later make it into the real world.

After the news broke, netizens took to Twitter to discuss Spotify’s reported innovation. Some made hilarious suggestions regarding how the technology might work…

​…while others questioned the method and raised concerns that it could be guided by stereotypes.

According to reports, the technology is the latest in patents granted to Spotify, as the company earlier was granted patents for a “karaoke-like” feature that allows the user to overlay music tracks with their own vocals, along with a patent for a geo-tag advertising technology that would use ‘3D audio’. These features have not as yet been implemented into the platform.

Sourse: sputniknews.com