Spotify's recommendation system isn't working for you? Don't worry, the platform could soon have a new way to improve its recommendations.
The company has patented a technology that analyzes your voice and background noise to suggest new content based on "your emotional state, gender, age or accent.".
The patent, which was granted on January 12 and was first spotted by Music Business Worldwide, describes various ways to analyze audio signals received from a microphone to understand who you are and how you feel.
For example, your tone of voice may be more upbeat or sad. In addition to "listening" to your voice and inferring your mood, it calculates age and environmental metadata by detecting whether you are alone or in a group.
This information could be used to recommend songs in a variety of ways. The patent may not make its way to the platform, but it offers a glimpse into the future of music recommendations.
Spotify has always emphasized that it recommends a wide range of music. However, the idea of defining music preferences based on demographic data sounds rather limiting. Mood-based recommendations sound more promising – but also more annoying.
If I'm in a bad psychological state and Spotify suggests melancholic songs, will it help me?
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