How to Spot AI-Generated Music
The number of compositions created by artificial intelligence (AI) on music streaming platforms like Spotify has risen significantly. Often, these "robotic" works are released under the names of real artists, leaving listeners confused. While the technology is constantly improving, there are specific characteristics that can help you identify whether a song is the product of human creativity.
Vocal Peculiarities
AI-generated vocals are the easiest to spot. Typically, AI voices are characterized by a specific "accent" and monotony. Listen closely: does the voice sound distorted or "floating"? AI vocals often struggle to pronounce words naturally, place emotional emphasis in the wrong spots, and lack the small, natural imperfections that make a human voice feel alive. Such vocals are usually uniform throughout the track, with almost no noticeable changes in intonation.
Structure and Lyrics
Monotony extends beyond vocals to the musical composition itself. AI-generated tracks often lack dynamic changes, interesting musical transitions, or variations in key. Because artificial intelligence is primarily trained on Western pop music, its work often resembles a imitation of popular artists' styles. As for the lyrics, pay attention to a lack of metaphors, illogical phrasing, and repetitive ideas. Unlike human compositions, AI lyrics often lack an overarching theme and fail to develop.
How to Verify the Artist
If a song raises suspicion, the easiest way to verify it is to check the artist's context. Search for information about the performer on social media, look for interviews, or find videos of live performances. If there is no information about the artist online, yet they systematically release large volumes of songs—often accompanied by album covers likely generated by AI—you are likely dealing with a "content farm."
Additionally, pay attention to labels provided by streaming platforms themselves. Some are already using special tools that automatically identify AI-generated content. However, remember that errors occur, and sometimes the work of real musicians can be mislabeled, so further research is always useful before reaching a final conclusion.