I have been exploring and experimenting Tunee AI. I am writing this to provide critical feedback regarding the quality of the downloaded stems. The stem separation feature needs significant improvement. The downloaded stems are of poor quality, exhibiting heavy bleeding between the tracks.
The individual stems (e.g., Vocals, Drums, Instruments) are highly compromised by artifacts, primarily severe bleeding. I have found the isolated tracks to be heavily contaminated with audio from other elements of the mix. For example, the vocal stem contains audible instrumental bleed, and the instrumental stems contain significant vocal remnants.
As a producer/remixer, this level of bleed and contamination renders the stems completely unusable for clean production work. They cannot be reliably mixed, mastered, or repurposed in an external DAW, which defeats the entire purpose of offering a stem download feature. The current quality is far below the standard required for professional and even high-hobbyist music creation.
I strongly recommend prioritizing the retraining or upgrade of your underlying AI model for stem separation. The core quality of the isolated tracks must be improved to achieve a cleaner separation with minimal cross-talk and artifacts. This is a crucial feature for your user base, and its current state significantly limits the platform’s value for producers.
Thank you for considering this feedback. I look forward to seeing this feature improve in future updates.