Spotify Wants To Recommend Songs By Listening To Users’ Emotions
Image via TY Lim / Shutterstock.com
Spotify has been granted a new technology that will allow it to listen and analyze a user’s voice data so it can recommend better song, album and artists to them.
According to Music Business Worldwide, this technology allows the platform to monitor a user’s voice and conversations and determine their emotions. Then, it will come up with possible recommendations based on the data it acquires. This is expected to result in better music choices that will match the user’s tastes.
The technology will listen to the user’s voice as well as the environment they are in. Using speech recognition technology, it separates the user’s speech from other noises and split it into “content metadata” and “environment metadata.”
Content metadata considers the users emotional state, gender, age and the accent of the person while environmental metadata, includes the environment the user is in and the number of people that surrounds them.
The technology will then combine all of this data with the user’s listening history and recommend tracks to be played next.
Pitchfork reported that the patent, “Identification of taste attributes from an audio signal,” was first filed in 2018, but was only granted on 12 January.
Spotify has patented new technology that could listen to your speech to get data points like emotional state, gender, age, and accent to hone music recommendations https://t.co/e71xFA3FP7
— Pitchfork (@pitchfork) January 28, 2021
[via BBC, cover image via TY Lim / Shutterstock.com]
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