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Translating Continuous Gamakas into Classical Swara Sthanas
Unlike fixed-pitch systems where notes are discrete frequencies, Carnatic swaras are dynamic entities rich in Gamakas (microtonal oscillations, glides, and touches).
A Carnatic performer rarely sings a flat Gandharam or Nishadam; instead, notes like the Sadharana Gandhara in Todi oscillate gracefully towards Shuddha Rishabha, yet remain conceptually recognized as 'Ga'.
Our AI Swara recognition engine is trained on thousands of hours of authentic vocal and instrumental recordings, combining spectral acoustic models with context-aware raga grammar to recognize the underlying swara identity beneath rapid gamaka ornamentation.
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Technical Architecture & Precision Benchmarks
Audio Processing Engine
32-bit Floating Point DSP (< 12ms Latency)
Tuning Standard
A4 = 432 Hz / 440 Hz / Custom Adhara Shadjam
Algorithmic Resolution
22 Shrutis & 1-Cent Microtonal Tolerance
Classical Database
72 Melakartha & Janya Ragas / 35 Talas
Platform Availability
iOS 15+, Android 8+, iPadOS & Tablet Native
Offline Architecture
100% On-Device DSP (No Internet Required)