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Musicmuni - Can We Scale Art Education - AI Dev Days

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This presentation was done by Swapnil Gupta & Gopala Krishna from Musicmuni in "startup showcase" in AI Dev Days conference held on 9th March 2018 in Bangalore. URL: www.aidevdays.com
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Can we scale art education? Hint: Don’t get too subjective

Short summary of the talk: MusicMuni labs is a young startup building solutions to scale music education by combining machine intelligence and centuries-rich pedagogy. The team will briefly discuss their journey so far and what opportunities await us in this fascinating field of work.

Session: Can we scale art education? Hint: Don’t get too subjective

Short summary of the talk: MusicMuni labs is a young startup building solutions to scale music education by combining machine intelligence and centuries-rich pedagogy. The team will briefly discuss their journey so far and what opportunities await us in this fascinating field of work.

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Musicmuni - Can We Scale Art Education - AI Dev Days

  1. 1. Can we scale art education? Hint: Don’t get too subjective!
  2. 2. This is what we do
  3. 3. Founder of MTG-UPF PhD at CCRMA, Stanford Prof. Xavier Serra Chief Research Officer BTech and MS at IIIT-Hyd PhD at MTG-UPF, Barcelona Gopala K. Koduri CEO Team Swapnil Gupta Technical Lead BTech at IIIT-Hyd Masters at MTG-UPF, Barcelona
  4. 4. A music guru in your pocket! Our USP is machine intelligence that provides human-like feedback
  5. 5. Traction so far DAU | MAU 5 k | 80 k Engagement per user 8 min / day* Dec’16 Feb’17 Jul’17 10k 23k 200k 400k+ Downloads ● 10 million user recordings ● Everyday, riyaz == 300 full-time teachers Not a penny spent on this growth! Oct’17
  6. 6. How does Riyaz work? Content Management System Automated content transformation Scalable content storage & delivery platform Courses Live visualization as user practices Audio analysis and feedback Cloud sync Users Riyaz Teachers
  7. 7. How does Riyaz work? Content Management System Automated content transformation Scalable content storage & delivery platform Courses Live visualization as user practices Audio analysis and feedback Cloud sync Users Riyaz Teachers
  8. 8. Audio Signal Processing Fundamental pitch Loudness Formants Similarity Intonation Timing Modulation ...
  9. 9. Building Machine Models Seeding from experts Predefined rubric based reviews Propagation
  10. 10. Infrastructure Data MySQL (app data) Object storage (10m+ files) Analytics Big data cluster for OLAP data Data visualization & reports Computation Audio data processing Machine learning
  11. 11. A music guru in your pocket! A product of

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