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{
"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,
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"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."
}
]
}