Indian Developer’s Classical Music App Wins Apple’s Best Design Award

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Indian Developer's Classical Music App Wins Apple's Best Design Award

Every year during their annual developer conference —WWDC – Apple announces its design awards. After considering apps and games from around the world, 12 apps receive this award. This year in WWDC, a app Indian developer has won the design award.
NaadSadhna, an Hindi classical music app, has been recognized in the new Innovation awards category for its cutting edge expertise and innovative use of Apple technologies.

Who is the developer behind the application?

The application has been created by Sandeep Ranade, who is a software engineer and has worked with companies such as Google, Microsoft among others. Ranade is also a classical singer, according to his website, and has been involved with music for a long time.
Ranade attended her first WWDC in 2019 and says the Apple Design Awards “felt like an Oscars ceremony.” I’ve been pinching myself over and over again to try and convince myself that this is really happening. This is a great honor for me as a solo software engineer, “said Ranade after winning the award.


What is the application about?

NaadSadhana is a studio-quality all-in-one music app that helps musicians of all genres and with any experience perform and publish their music without limits. After finding your melody as an app for practicing Indian classical singing, NaadSadhana has expanded to support seven different genres of music. And with the help of artificial intelligence and Core ML, the app listens as a singer improvises a vocal line, provides instant feedback on the accuracy of the notes, and generates a backing track to match, all in real time.
On his website, Ranade describes the app as: “Imagine an app that can play music like an expert, respond to your music intelligently, creatively, and aesthetically, record and mix multiple tracks, and even guide your notes and tempo.”
NaadSadhana, according to Ranade, helps musicians do “magic by making effective use of artificial intelligence, neuroscience, learning theory, digital signal processing, and novel research.”
Ranade says he says that with Apple hardware “it will unlock richer, deeper, smarter and more creative analytics and decision making. Their app remains unique to iOS “because no other platform has a low latency audio stack or so many building blocks for complex audio processing, neural networks, analytics, etc.”


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