{
  "schema": 1,
  "language": "en",
  "voice": "am_echo",
  "speed": 1.03,
  "sample_rate": 24000,
  "total_duration": 41.2,
  "scenes": [
    {
      "scene": 1,
      "speech_start": 0.0,
      "speech_end": 9.425,
      "scene_end": 9.875,
      "duration": 9.875,
      "text": "This tutorial covers Classifier Evaluation. Audit held-out predictions, nested cross-validation, calibration, leakage, and per-plate performance.",
      "speech_text": "This tutorial covers Classifier Evaluation. Audit held-out predictions, nested cross-validation, calibration, leakage, and per-plate performance.",
      "phonemes": "ðˌɪs tutˈɔɹiəl kˈʌvəɹz klˈæsəfˌIəɹ əvˌæljʊˈAʃən. ˈɔdət hˈɛldˌWt pɹidˈɪkʃənz, nˈɛstᵻd kɹˌɔsvˌælɪdˈAʃən, kˌæləbɹˈAʃən, lˈikɪʤ, ænd pɜɹplˈAt pəɹfˈɔɹməns."
    },
    {
      "scene": 2,
      "speech_start": 9.875,
      "speech_end": 16.775,
      "scene_end": 17.224999999999998,
      "duration": 7.349999999999998,
      "text": "Choose predictions with ground truth, split metadata, plate identifiers, probabilities, and model-run records.",
      "speech_text": "Choose predictions with ground truth, split metadata, plate identifiers, probabilities, and model-run records.",
      "phonemes": "ʧˈuz pɹidˈɪkʃənz wɪð ɡɹˈWnd tɹˈuθ, splˈɪt mˈɛTədˌATə, plˈAt IdˈɛntəfˌIəɹz, pɹˌɑbəbˈɪləTiz, ænd mˈɑdᵊlɹˌʌn ɹˈɛkəɹdz."
    },
    {
      "scene": 3,
      "speech_start": 17.224999999999998,
      "speech_end": 25.674999999999997,
      "scene_end": 26.124999999999996,
      "duration": 8.899999999999999,
      "text": "In the main configuration area, configure class order, thresholds, calibration bins, grouping, bootstrap uncertainty, and leakage checks.",
      "speech_text": "In the main configuration area, configure class order, thresholds, calibration bins, grouping, bootstrap uncertainty, and leakage checks.",
      "phonemes": "ɪn ðə mˈAn kənfˌɪɡjəɹˈAʃən ˈɛɹiə, kənfˈɪɡjəɹ klˈæs ˈɔɹdəɹ, θɹˈɛʃhˌOldz, kˌæləbɹˈAʃən bˈɪnz, ɡɹˈupɪŋ, bˈutstɹˌæp ˌʌnsˈɜɹtᵊnti, ænd lˈikɪʤ ʧˈɛks."
    },
    {
      "scene": 4,
      "speech_start": 26.124999999999996,
      "speech_end": 32.55,
      "scene_end": 33.0,
      "duration": 6.8750000000000036,
      "text": "Evaluate held-out and per-plate behavior before using a classifier for biological conclusions.",
      "speech_text": "Evaluate held-out and per-plate behavior before using a classifier for biological conclusions.",
      "phonemes": "əvˈæljʊˌAt hˈɛldˌWt ænd pɜɹplˈAt bəhˈAvjəɹ bəfˈɔɹ jˈuzɪŋ ɐ klˈæsəfˌIəɹ fɔɹ bˌIəlˈɑʤəkᵊl kənklˈuʒənz."
    },
    {
      "scene": 5,
      "speech_start": 33.0,
      "speech_end": 40.55,
      "scene_end": 41.199999999999996,
      "duration": 8.199999999999996,
      "text": "When the workflow finishes, spaCR produces discrimination, calibration, confusion, leakage, and robustness reports.",
      "speech_text": "When the workflow finishes, spacer produces discrimination, calibration, confusion, leakage, and robustness reports.",
      "phonemes": "wˌɛn ðə wˈɜɹkflˌO fˈɪnəʃᵻz, spˈAsəɹ pɹədˈusᵻz dəskɹˌɪmənˈAʃən, kˌæləbɹˈAʃən, kənfjˈuʒᵊn, lˈikɪʤ, ænd ɹObˈʌstnəs ɹəpˈɔɹts."
    }
  ]
}