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swaraga

hemanth/swaraga

Classify Hindustani and Carnatic ragas from vocal audio via Jev.

Automated README summary

Automatically summarized from the README on 8 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

Swaraga classifies Hindustani and Carnatic ragas from human vocal audio. It decodes MP3/WAV to 16 kHz mono PCM, extracts 12-swarasthana pitch telemetry, and routes the top acoustic candidates through TypeSafe System One (Jev) or local OpenJev WASM.

How it uses Jev

classifyRagaWithTypeSafe() dispatches 10 batched System One primitives (choice, score, noul) over a state built from swara telemetry and top-12 candidate grammar, then computes the hierarchical beam score √(P(Thaat) × P(Raga)). Results drive winner.name, winner.probability, and routing.gate.

Primitives:choicescorenoul

Technique worth stealing

Compile acoustic swara telemetry plus top-12 candidate grammar into one System One state + questions batch, then beam-score √(P(Thaat) × P(Raga)).

Try it

npm install; npm start (web studio on http://localhost:3480).

View on GitHub

Start using Jev: API key and your first request →

Model judgments from README excerpts

Project signals use repository metadata, an existing summary and the first 700 README characters, not the full project. “Not found” means not detected in that material; it does not establish absence. These are the original judgments with recorded models and dates, not source audits or run results.

Models & evaluation dates

Inclusion gate
jev-1.13.0
Project signals
jev-1.13.0
Category
jev-1.13.0
Pattern tags
jev-1.13.0

Evidence

These signals use repository metadata, an existing summary and at most 700 cleaned README characters. ≥ 0.60 means reported in that excerpt; ≤ 0.40 means not found there. The middle band is inconclusive. None is a source-code audit or a test result. The runnable-tool question excludes research experiments; the recommendation question asks for a learning shortlist, not a quality verdict.

  • Jev is core to the projectnot found in the excerpt0.34
  • Shows a System One patternnot found in the excerpt0.12
  • Describes handling uncertaintynot found in the excerpt0.05
  • Reports measured numbersnot found in the excerpt0.05
  • Is a runnable toolFound in material0.94
  • Top-10 learning shortlist signalnot found in the excerpt0.23
  • Is a replica of the modelnot found in the excerpt0.30
  • Solves a common problem (0–2)score on a 0–2 scale0.81 / 2
  • About JevFound in material0.98
Signals
Jev is core to the project0.34Shows a System One pattern0.12Describes handling uncertainty0.05Reports measured numbers0.05Is a runnable tool0.94Top-10 learning shortlist signal0.23Is a replica of the model0.3000.51Solves a common problem (0–2)0.81 / 2012

no-judgment band (0.40–0.60)

Design patterns
Questionnaire0.94Scorecard0.94Funnel0.93Check-up0.38Menu0.26Prefetch0.2300.51

no-judgment band (0.40–0.60)

The Jev model and date for each judgment stage are listed above. Card written by DeepSeek V4.1 Flash from the README on 8 Oct 2026.