Identify music emotion of a spectrogram
using AI
Below is a free classifier to identify music emotion of a spectrogram. Just upload your image, and our AI will predict what emotion it is - in just seconds.
Upload an image of a spectrogram
Contact us for API access
Or, use Nyckel to build highly-accurate custom classifiers in just minutes. No PhD required.
Get started
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("music-emotion-of-a-spectrogram-identifier", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/music-emotion-of-a-spectrogram-identifier/invoke', {
method: 'POST',
headers: {
'Authorization': 'Bearer ' + 'YOUR_BEARER_TOKEN',
'Content-Type': 'application/json',
},
body: JSON.stringify(
{"data": "your_image_url"}
)
})
.then(response => response.json())
.then(data => console.log(data));
curl -X POST \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_BEARER_TOKEN" \
-d '{"data": "your_image_url"}' \
https://www.nyckel.com/v1/functions/music-emotion-of-a-spectrogram-identifier/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict what emotion it is.
This pretrained image model uses the Emotion Analysis in Music dataset and has 4 labels, including Low Val High Arousal, High Val High Arousal, High Val Low Arousal, and Low Val Low Arousal.
We'll also show a confidence score (the higher the number, the more confident the AI model is around what emotion it is).
Whether you're just curious or building music emotion of a spectrogram detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify music emotion of a spectrogram at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Music Streaming Platforms: Create mood-based playlists tailored to users' emotional states. Recommend songs that match listeners' current or desired mood.
- Film Scoring: Select appropriate music tracks to enhance specific scenes' emotional impact. Match background music to the intended emotional atmosphere of a film.
- Advertising: Choose background music that aligns with the emotional tone of commercials. Evoke specific feelings in viewers through carefully selected soundtracks.
- Retail Environments: Curate in-store playlists to influence customer mood and behavior. Adjust music selection based on desired shopping atmosphere throughout the day.
- Therapy and Counseling: Incorporate emotionally appropriate music into treatment sessions. Design personalized playlists to support clients' emotional regulation goals.
- Fitness Applications: Match workout music to users' energy levels and exercise intensity. Motivate users with high-arousal tracks during intense workout phases.
- Gaming: Dynamically adjust game soundtracks based on in-game events and player actions. Intensify gaming experiences by aligning music with emotional gameplay moments.