Request to Reactivate SoundCloud Link Analysis in ChatGPT

[lorenzo34370]

[### Summary
The ability to analyze SoundCloud links directly in ChatGPT was a critical feature for my creative workflow as a musician. Unfortunately, this functionality seems to have been disabled.

Steps to Reproduce

1. Provide a SoundCloud link to ChatGPT.
2. Observe that it no longer analyzes or provides feedback on the audio.

Expected Behavior

ChatGPT should be able to analyze the link, providing suggestions for dynamics, frequencies, and transitions.

Current Behavior

The feature is no longer functional, which impacts my ability to refine my music effectively.

Context

I relied heavily on this feature to improve my musical projects and compositions. It helped me gain valuable feedback that I cannot replicate manually. Its removal has disrupted my workflow significantly.

Request

Please consider reactivating this feature or providing an alternative method to analyze audio directly in ChatGPT.

Thank you for considering my request!

[salb]

Dear Lorenzo,

As a seismologist, I share your interest in this feature—albeit from a slightly different angle! You've sparked a fascinating idea for me: what if seismic signals were modulated into musical frequencies and uploaded as SoundCloud tracks? Analyzing them with the kind of workflow you describe could open up new ways to interpret data, especially for students or researchers looking to bridge science and creativity.

Could you share more about how you used this feature in your music projects? I'm particularly curious about the kind of feedback ChatGPT provided (e.g., dynamics, frequency ranges, transitions) and how you leveraged it in your creative process. It would be amazing to understand whether this could inspire a prototype for seismic data analysis using a similar approach.

To others following this thread: does anyone else see potential applications for this workflow in non-musical fields, or know of alternatives for analyzing audio data directly?

Looking forward to exploring this idea together!

Best regards,
Salvatore

[lorenzo34370]

Dear Salvatore, Thank you so much for your thoughtful response and for sharing such a fascinating perspective! I’m truly intrigued by the idea of transforming seismic signals into musical frequencies and analyzing them in a creative workflow. It’s an inspiring concept that shows how art and science can beautifully intersect. To answer your question, I used the SoundCloud analysis feature in ChatGPT as a critical tool for refining my music projects. Specifically, I would share a link to my compositions and receive detailed feedback that helped me improve several aspects, including: 1. Dynamics: ChatGPT would suggest ways to adjust the intensity of certain elements, such as whether a section needed more subtlety or impact. 2. Frequency Ranges: The feature helped me identify areas where certain frequencies might overlap or clash, particularly in bass, mids, and highs, which are essential for a clean mix. 3. Transitions: I often received valuable suggestions for making transitions between sections smoother, such as introducing a subtle instrument or effect to bridge the gap. This workflow was crucial because it provided a second “ear” to evaluate my compositions from a technical and artistic standpoint, much like a mentor or collaborator would. Your idea of using this kind of analysis for seismic signals modulated into musical frequencies is brilliant. It could create a whole new way of interpreting complex data in an intuitive, accessible format for students and researchers alike. By “listening” to seismic activity as music, patterns and anomalies might become easier to identify or even more emotionally impactful. To answer your final question: I could see this workflow being adapted for other fields like data sonification, bioacoustics, or even speech analysis, where turning raw data into sound could unlock new insights. Let’s keep this conversation going—I’d be happy to share more details about my experience and collaborate on exploring potential applications of this approach. Best regards, Lorenzo Le 29 nov. 2024 à 22:47, Salvatore Barba ***@***.***> a écrit : Dear Lorenzo, As a seismologist, I share your interest in this feature—albeit from a slightly different angle! You've sparked a fascinating idea for me: what if seismic signals were modulated into musical frequencies and uploaded as SoundCloud tracks? Analyzing them with the kind of workflow you describe could open up new ways to interpret data, especially for students or researchers looking to bridge science and creativity. Could you share more about how you used this feature in your music projects? I'm particularly curious about the kind of feedback ChatGPT provided (e.g., dynamics, frequency ranges, transitions) and how you leveraged it in your creative process. It would be amazing to understand whether this could inspire a prototype for seismic data analysis using a similar approach. To others following this thread: does anyone else see potential applications for this workflow in non-musical fields, or know of alternatives for analyzing audio data directly? Looking forward to exploring this idea together! Best regards, Salvatore —Reply to this email directly, view it on GitHub, or unsubscribe.You are receiving this because you authored the thread.Message ID: ***@***.***>