What makes for high-quality piano stems?

How AudioShake’s piano stems compare to open-source models, including findings from AudioLabs on the strength of our separation for classical music.

Our team was proud to launch our new piano stems last month after seeing our models separate even cleaner stems with well-balanced tones across a wide range of pianos. From classical to electronic pianos, our piano isolations were able to capture clear highs across genres and performed well on expressive dynamics. We also shared our new models with the team over at AudioLabs (a joint institution of Fraunhofer IIS and Friedrich-Alexander-Universität Erlangen-Nürnberg) to evaluate how well AudioShake could isolate pianos from orchestral performances.

“It’s remarkable to witness the substantial advancements that deep learning has brought to audio source separation, even in challenging scenarios. During our piano concerto experiments, I was deeply impressed by the performance of the AudioShake system, especially considering that it had never been trained on this type of data before.” — Meinard Müller, professor for Semantic Audio Processing at the International Audio Laboratories Erlangen, Germany

Read the full blog post on AudioShake’s blog →

AudioShake regularly works with labels, producers, publishers, and more to help open up songs to new possibilities. Any individuals or organizations looking to create stems with our AI can sign up at indie.audioshake.ai or contact us directly at info@audioshake.ai.