{
  "name": "@playground-sessions/pitch-detection-analysis",
  "version": "0.1.1",
  "description": "Polyphonic pitch detection using CREPE (Convolutional Recurrent Estimators) with spectral harmonic analysis. Detects multiple simultaneous pitches from audio input using deep learning-based fundamental frequency estimation combined with non-negative matrix factorization (NMF) for source separation.",
  "type": "module",
  "main": "dist/index.js",
  "types": "dist/index.d.ts",
  "exports": {
    ".": {
      "types": "./dist/index.d.ts",
      "default": "./dist/index.js"
    },
    "./worklet": {
      "default": "./src/pitch-worklet.js"
    }
  },
  "files": [
    "dist",
    "src"
  ],
  "scripts": {
    "build": "tsc",
    "test": "vitest",
    "dev": "vite",
    "prepublishOnly": "npm run build"
  },
  "keywords": [
    "pitch",
    "audio",
    "web-audio",
    "pitch-detection",
    "polyphonic",
    "crepe",
    "neural-network",
    "deep-learning",
    "nmf",
    "harmonic-analysis",
    "fundamental-frequency",
    "music-information-retrieval",
    "mir",
    "spectral-analysis"
  ],
  "author": "Playground Sessions",
  "license": "MIT",
  "devDependencies": {
    "typescript": "^5.2.2",
    "vite": "^4.4.9",
    "vitest": "^0.34.4"
  },
  "dependencies": {
    "@tensorflow/tfjs": "^4.22.0"
  }
}