einarolafsson's picture
Refresh tutorial narration and 4K masters
17af9e6 verified
Raw
History Blame Contribute Delete
36 kB
{
"schema": 1,
"language": "en",
"lang_code": "a",
"dialect": "us",
"voice": "am_echo",
"speed": 0.94,
"sample_rate": 24000,
"total_duration": 126.39,
"media_sha256": "fba54f235275627c0bb37485d3579d0782f45889b8d254a0e07b763c0bf98f4d",
"media_bytes": 811170,
"render_fingerprint": "25c31b61e7cf531876c9fcd644037ec5f0422f0cfff7ac460409fe6c1d6c4e72",
"render_inputs": {
"renderer": "render_all_voices-v4",
"lesson": "11_classify_ml",
"language": "en",
"lang_code": "a",
"dialect": "us",
"voice": "am_echo",
"speed": 0.94,
"scenes": [
{
"narration": "Classify ML trains a classical model on per-object measurements. The console reports database loading, feature preparation, validation, importance, predictions, and errors.",
"speech_text": [
"[Classify](/klˈæsəfI/) ML trains a classical model on per-object measurements.",
"The console reports database loading, feature preparation, validation, importance, predictions, and errors."
],
"authored_hold": 0.7,
"resolved_hold": 0.52,
"speed_multiplier": 1.0,
"effective_speed": 0.94
},
{
"narration": "Labels and Classes selects the measurement project, label field, positive and negative values, and experimental grouping. Verify the biological meaning of that mapping before fitting a model.",
"speech_text": [
"Labels and Classes selects the measurement project, label field, positive and negative values, and experimental grouping.",
"Verify the biological meaning of that mapping before fitting a model."
],
"authored_hold": 0.7,
"resolved_hold": 0.52,
"speed_multiplier": 1.0,
"effective_speed": 0.94
},
{
"narration": "Start with Essentials and audit changes in Modified. Open All only for controls the analysis needs, and save a Recipe for repeated runs.",
"speech_text": [
"Start with Essentials and audit changes in Modified.",
"Open All only for controls the analysis needs, and save a Recipe for repeated runs."
],
"authored_hold": 0.7,
"resolved_hold": 0.52,
"speed_multiplier": 1.0,
"effective_speed": 0.94
},
{
"narration": "Feature Preparation selects the channel of interest and removes excluded, invalid, low-variance, highly correlated, or poorly supported measurements before training.",
"speech_text": [
"Feature Preparation selects the channel of interest and removes excluded, invalid, low-variance, highly correlated, or poorly supported measurements before training."
],
"authored_hold": 0.7,
"resolved_hold": 0.52,
"speed_multiplier": 1.0,
"effective_speed": 0.94
},
{
"narration": "Plate and Batch Correction can normalize each plate against its controls. Use a correction that preserves the biological contrast and can be applied consistently to future data.",
"speech_text": [
"Plate and Batch Correction can normalize each plate against its controls.",
"Use a correction that preserves the biological contrast and can be applied consistently to future data."
],
"authored_hold": 0.7,
"resolved_hold": 0.52,
"speed_multiplier": 1.0,
"effective_speed": 0.94
},
{
"narration": "Classifier and Validation selects the estimator, complexity, held-out split, and cross-validation behavior. Group related objects by plate or well to avoid leakage.",
"speech_text": [
"[Classifier](/klˈæsəfIəɹ/) and Validation selects the estimator, complexity, held-out split, and cross-validation behavior.",
"Group related objects by plate or well to avoid leakage."
],
"authored_hold": 0.7,
"resolved_hold": 0.52,
"speed_multiplier": 1.0,
"effective_speed": 0.94
},
{
"narration": "Feature Selection and Importance prunes the final feature set and estimates which measurements support the classifier. Interpret importance only after held-out performance is acceptable.",
"speech_text": [
"Feature Selection and Importance prunes the final feature set and estimates which measurements support the [classifier](/klˈæsəfIəɹ/).",
"Interpret importance only after held-out performance is acceptable."
],
"authored_hold": 0.7,
"resolved_hold": 0.52,
"speed_multiplier": 1.0,
"effective_speed": 0.94
},
{
"narration": "Output and Database controls whether probabilities, class calls, model files, and selected features are saved or written back to the measurement project.",
"speech_text": [
"Output and Database controls whether probabilities, class calls, model files, and selected features are saved or written back to the measurement project."
],
"authored_hold": 0.7,
"resolved_hold": 0.52,
"speed_multiplier": 1.0,
"effective_speed": 0.94
},
{
"narration": "Hyperparameter Search is a mini workbench for comparing a focused set of model choices with grouped folds. The results table ranks completed trials and shows their variation.",
"speech_text": [
"hyper-parameter Search is a mini workbench for comparing a focused set of model choices with grouped folds.",
"The results table ranks completed trials and shows their variation."
],
"authored_hold": 0.7,
"resolved_hold": 0.52,
"speed_multiplier": 1.0,
"effective_speed": 0.94
},
{
"narration": "Search Settings defines candidate values, trial budget, folds, seed, and ranking metric. Keep the search space small enough to explain and reproduce.",
"speech_text": [
"Search Settings defines candidate values, trial budget, folds, seed, and ranking metric.",
"Keep the search space small enough to explain and reproduce."
],
"authored_hold": 0.7,
"resolved_hold": 0.52,
"speed_multiplier": 1.0,
"effective_speed": 0.94
},
{
"narration": "Run validates controls, prepares features, applies any plate correction, evaluates the classifier, calculates importance, and saves enabled outputs. Review held-out and per-plate behavior before using predictions biologically.",
"speech_text": [
"Run validates controls, prepares features, applies any plate correction, evaluates the [classifier](/klˈæsəfIəɹ/), calculates importance, and saves enabled outputs.",
"Review held-out and per-plate behavior before using predictions biologically."
],
"authored_hold": 0.7,
"resolved_hold": 0.52,
"speed_multiplier": 1.0,
"effective_speed": 0.94
}
],
"assembly": {
"version": "2026-08-11-natural-sentences-v1",
"sample_rate": 24000,
"lead_silence_seconds": 0.1,
"tail_silence_seconds": 0.18,
"sentence_pause_seconds": 0.12,
"scene_hold_min_seconds": 0.32,
"scene_hold_max_seconds": 0.52,
"default_scene_hold_seconds": 0.42,
"vad_frame_seconds": 0.005,
"vad_peak_ratio": 0.002,
"vad_absolute_floor": 2e-05
},
"cadence_profile": {
"version": "2026-08-11-af-heart-scene-cadence-v6",
"sha256": "4d728d67e73eea7e6203878879992f9050ae4a2677d717efdd68545104eb7812",
"bytes": 23008,
"enabled": false,
"targets": {
"slow_wpm": 125.0,
"fast_wpm": 145.0,
"calibration_wpm": 150.0
},
"safe_multiplier_bounds": {
"minimum": 0.68,
"maximum": 1.18
}
},
"mastering": {
"filters": [
"loudnorm=I=-16:TP=-3:LRA=11",
"loudnorm=I=-16:TP=-5:LRA=11,alimiter=limit=0.7:attack=5:release=50:level=disabled",
"loudnorm=I=-16:TP=-5:LRA=11,alimiter=limit=0.5:attack=5:release=50:level=disabled"
],
"codec": "aac",
"bitrate": "48k",
"channels": 1,
"maximum_decoded_true_peak_dbfs": -1.0
},
"pronunciation": {
"role": "pronunciation_profile",
"version": "2026-08-11-en-natural-v6",
"sha256": "1fbaa615cfa904094bdef5cba963539f0e8bec5927192a76b0d503e90c4bb83e",
"bytes": 13263
},
"synthesis_runtime": {
"model": {
"repository": "hexgrad/Kokoro-82M",
"snapshot": "f3ff3571791e39611d31c381e3a41a3af07b4987",
"config": {
"role": "kokoro_config",
"name": "14a726edd3718279eac426630879ff743955b16a",
"bytes": 2351,
"sha256": "5abb01e2403b072bf03d04fde160443e209d7a0dad49a423be15196b9b43c17f"
},
"weights": {
"role": "kokoro_weights",
"name": "496dba118d1a58f5f3db2efc88dbdc216e0483fc89fe6e47ee1f2c53f18ad1e4",
"bytes": 327212226,
"sha256": "496dba118d1a58f5f3db2efc88dbdc216e0483fc89fe6e47ee1f2c53f18ad1e4"
}
},
"voice_pack": {
"role": "kokoro_voice_pack",
"name": "8bcfdc852bc985fb45c396c561e571ffb9183930071f962f1b50df5c97b161e8",
"bytes": 523420,
"sha256": "8bcfdc852bc985fb45c396c561e571ffb9183930071f962f1b50df5c97b161e8",
"tensor_sha256": "3968b92c3c4cd1c4416dbded36c13eaa388a90d5788d02a13e4d781f5f8cf3c3",
"loaded_tensor_sha256": "3968b92c3c4cd1c4416dbded36c13eaa388a90d5788d02a13e4d781f5f8cf3c3"
},
"software": {
"kokoro": "0.9.4",
"misaki": "0.9.4",
"torch": "2.6.0",
"soundfile": "0.14.0",
"python": "3.12.4",
"implementation": "cpython"
},
"inference": {
"device": "cuda"
},
"mastering_tool": {
"version": "ffmpeg version 6.1.1-3ubuntu5+esm10 Copyright (c) 2000-2023 the FFmpeg developers",
"version_output_sha256": "92dfb2468e6f5f06919b5433c0f14459ac19b81b1bc2d9fdceb83c6ad42e37b5",
"executable": {
"role": "ffmpeg_executable",
"name": "ffmpeg",
"bytes": 342488,
"sha256": "ad63ef3f2f18fa92e89f0ec2bde6941e81f83724c8d265414cb659c28077392d"
}
}
}
},
"scenes": [
{
"scene": 1,
"speech_start": 0.0,
"speech_end": 11.475,
"scene_end": 11.995,
"duration": 11.995,
"text": "Classify ML trains a classical model on per-object measurements. The console reports database loading, feature preparation, validation, importance, predictions, and errors.",
"speech_text": "[Classify](/klˈæsəfI/) ML trains a classical model on per-object measurements. The console reports database loading, feature preparation, validation, importance, predictions, and errors.",
"phonemes": "klˈæsəfI ˌɛmˈɛl tɹˈAnz ɐ klˈæsəkᵊl mˈɑdᵊl ˌɔn pɜɹˈɑbʤəkt mˈɛʒəɹmᵊnts. ðə kˈɑnsˌOl ɹəpˈɔɹts dˈæTəbˌAs lˈOdɪŋ, fˈiʧəɹ pɹˌɛpəɹˈAʃən, vˌælɪdˈAʃən, ɪmpˈɔɹtᵊns, pɹidˈɪkʃənz, ænd ˈɛɹəɹz.",
"authored_hold_after": 0.7,
"hold_after": 0.52,
"base_speed": 0.94,
"speed_multiplier": 1.0,
"effective_speed": 0.94,
"sentences": [
{
"sentence": 1,
"speech_start": 0.0,
"speech_end": 4.65,
"audible_start": 0.1,
"audible_end": 4.47,
"duration": 4.65,
"gap_from_previous": null,
"trimmed_lead": 0.175,
"trimmed_tail": 0.425,
"text": "Classify ML trains a classical model on per-object measurements.",
"speech_text": "[Classify](/klˈæsəfI/) ML trains a classical model on per-object measurements.",
"phonemes": "klˈæsəfI ˌɛmˈɛl tɹˈAnz ɐ klˈæsəkᵊl mˈɑdᵊl ˌɔn pɜɹˈɑbʤəkt mˈɛʒəɹmᵊnts."
},
{
"sentence": 2,
"speech_start": 4.77,
"speech_end": 11.475,
"audible_start": 4.87,
"audible_end": 11.295,
"duration": 6.705,
"gap_from_previous": 0.4,
"trimmed_lead": 0.17,
"trimmed_tail": 0.5,
"text": "The console reports database loading, feature preparation, validation, importance, predictions, and errors.",
"speech_text": "The console reports database loading, feature preparation, validation, importance, predictions, and errors.",
"phonemes": "ðə kˈɑnsˌOl ɹəpˈɔɹts dˈæTəbˌAs lˈOdɪŋ, fˈiʧəɹ pɹˌɛpəɹˈAʃən, vˌælɪdˈAʃən, ɪmpˈɔɹtᵊns, pɹidˈɪkʃənz, ænd ˈɛɹəɹz."
}
]
},
{
"scene": 2,
"speech_start": 11.995,
"speech_end": 24.06,
"scene_end": 24.58,
"duration": 12.584999999999999,
"text": "Labels and Classes selects the measurement project, label field, positive and negative values, and experimental grouping. Verify the biological meaning of that mapping before fitting a model.",
"speech_text": "Labels and Classes selects the measurement project, label field, positive and negative values, and experimental grouping. Verify the biological meaning of that mapping before fitting a model.",
"phonemes": "lˈAbəlz ænd klˈæsᵻz səlˈɛkts ðə mˈɛʒəɹmᵊnt pɹˈɑʤˌɛkt, lˈAbəl fˈild, pˈɑzəTɪv ænd nˈɛɡəTɪv vˈæljuz, ænd ɪkspˌɛɹəmˈɛntᵊl ɡɹˈupɪŋ. vˈɛɹəfˌI ðə bˌIəlˈɑʤəkᵊl mˈinɪŋ ʌv ðˈæt mˈæpɪŋ bəfˈɔɹ fˈɪTɪŋ ɐ mˈɑdᵊl.",
"authored_hold_after": 0.7,
"hold_after": 0.52,
"base_speed": 0.94,
"speed_multiplier": 1.0,
"effective_speed": 0.94,
"sentences": [
{
"sentence": 1,
"speech_start": 11.995,
"speech_end": 19.435,
"audible_start": 12.094999999999999,
"audible_end": 19.255,
"duration": 7.44,
"gap_from_previous": null,
"trimmed_lead": 0.17,
"trimmed_tail": 0.54,
"text": "Labels and Classes selects the measurement project, label field, positive and negative values, and experimental grouping.",
"speech_text": "Labels and Classes selects the measurement project, label field, positive and negative values, and experimental grouping.",
"phonemes": "lˈAbəlz ænd klˈæsᵻz səlˈɛkts ðə mˈɛʒəɹmᵊnt pɹˈɑʤˌɛkt, lˈAbəl fˈild, pˈɑzəTɪv ænd nˈɛɡəTɪv vˈæljuz, ænd ɪkspˌɛɹəmˈɛntᵊl ɡɹˈupɪŋ."
},
{
"sentence": 2,
"speech_start": 19.555,
"speech_end": 24.06,
"audible_start": 19.655,
"audible_end": 23.88,
"duration": 4.505,
"gap_from_previous": 0.4,
"trimmed_lead": 0.155,
"trimmed_tail": 0.465,
"text": "Verify the biological meaning of that mapping before fitting a model.",
"speech_text": "Verify the biological meaning of that mapping before fitting a model.",
"phonemes": "vˈɛɹəfˌI ðə bˌIəlˈɑʤəkᵊl mˈinɪŋ ʌv ðˈæt mˈæpɪŋ bəfˈɔɹ fˈɪTɪŋ ɐ mˈɑdᵊl."
}
]
},
{
"scene": 3,
"speech_start": 24.58,
"speech_end": 34.045,
"scene_end": 34.565000000000005,
"duration": 9.985000000000007,
"text": "Start with Essentials and audit changes in Modified. Open All only for controls the analysis needs, and save a Recipe for repeated runs.",
"speech_text": "Start with Essentials and audit changes in Modified. Open All only for controls the analysis needs, and save a Recipe for repeated runs.",
"phonemes": "stˈɑɹt wɪð əsˈɛnʧᵊlz ænd ˈɔdət ʧˈAnʤᵻz ɪn mˈɑdəfˌId. ˈOpᵊn ˈɔl ˈOnli fɔɹ kəntɹˈOlz ði ənˈæləsɪs nˈidz, ænd sˈAv ɐ ɹˈɛsəpˌi fɔɹ ɹəpˈiTᵻd ɹˈʌnz.",
"authored_hold_after": 0.7,
"hold_after": 0.52,
"base_speed": 0.94,
"speed_multiplier": 1.0,
"effective_speed": 0.94,
"sentences": [
{
"sentence": 1,
"speech_start": 24.58,
"speech_end": 28.25,
"audible_start": 24.68,
"audible_end": 28.07,
"duration": 3.67,
"gap_from_previous": null,
"trimmed_lead": 0.145,
"trimmed_tail": 0.46,
"text": "Start with Essentials and audit changes in Modified.",
"speech_text": "Start with Essentials and audit changes in Modified.",
"phonemes": "stˈɑɹt wɪð əsˈɛnʧᵊlz ænd ˈɔdət ʧˈAnʤᵻz ɪn mˈɑdəfˌId."
},
{
"sentence": 2,
"speech_start": 28.369999999999997,
"speech_end": 34.045,
"audible_start": 28.47,
"audible_end": 33.864999999999995,
"duration": 5.675,
"gap_from_previous": 0.4,
"trimmed_lead": 0.18,
"trimmed_tail": 0.495,
"text": "Open All only for controls the analysis needs, and save a Recipe for repeated runs.",
"speech_text": "Open All only for controls the analysis needs, and save a Recipe for repeated runs.",
"phonemes": "ˈOpᵊn ˈɔl ˈOnli fɔɹ kəntɹˈOlz ði ənˈæləsɪs nˈidz, ænd sˈAv ɐ ɹˈɛsəpˌi fɔɹ ɹəpˈiTᵻd ɹˈʌnz."
}
]
},
{
"scene": 4,
"speech_start": 34.565000000000005,
"speech_end": 44.35000000000001,
"scene_end": 44.87000000000001,
"duration": 10.305000000000007,
"text": "Feature Preparation selects the channel of interest and removes excluded, invalid, low-variance, highly correlated, or poorly supported measurements before training.",
"speech_text": "Feature Preparation selects the channel of interest and removes excluded, invalid, low-variance, highly correlated, or poorly supported measurements before training.",
"phonemes": "fˈiʧəɹ pɹˌɛpəɹˈAʃən səlˈɛkts ðə ʧˈænᵊl ʌv ˈɪntɹəst ænd ɹəmˈuvz ɪksklˈudᵻd, ɪnvˈælɪd, lˌOvˈɛɹiəns, hˈIli kˈɔɹəlˌATᵻd, ɔɹ pˈʊɹli səpˈɔɹTᵻd mˈɛʒəɹmᵊnts bəfˈɔɹ tɹˈAnɪŋ.",
"authored_hold_after": 0.7,
"hold_after": 0.52,
"base_speed": 0.94,
"speed_multiplier": 1.0,
"effective_speed": 0.94,
"sentences": [
{
"sentence": 1,
"speech_start": 34.565000000000005,
"speech_end": 44.35000000000001,
"audible_start": 34.665000000000006,
"audible_end": 44.17,
"duration": 9.785,
"gap_from_previous": null,
"trimmed_lead": 0.155,
"trimmed_tail": 0.56,
"text": "Feature Preparation selects the channel of interest and removes excluded, invalid, low-variance, highly correlated, or poorly supported measurements before training.",
"speech_text": "Feature Preparation selects the channel of interest and removes excluded, invalid, low-variance, highly correlated, or poorly supported measurements before training.",
"phonemes": "fˈiʧəɹ pɹˌɛpəɹˈAʃən səlˈɛkts ðə ʧˈænᵊl ʌv ˈɪntɹəst ænd ɹəmˈuvz ɪksklˈudᵻd, ɪnvˈælɪd, lˌOvˈɛɹiəns, hˈIli kˈɔɹəlˌATᵻd, ɔɹ pˈʊɹli səpˈɔɹTᵻd mˈɛʒəɹmᵊnts bəfˈɔɹ tɹˈAnɪŋ."
}
]
},
{
"scene": 5,
"speech_start": 44.87000000000001,
"speech_end": 56.11500000000001,
"scene_end": 56.63500000000001,
"duration": 11.765,
"text": "Plate and Batch Correction can normalize each plate against its controls. Use a correction that preserves the biological contrast and can be applied consistently to future data.",
"speech_text": "Plate and Batch Correction can normalize each plate against its controls. Use a correction that preserves the biological contrast and can be applied consistently to future data.",
"phonemes": "plˈAt ænd bˈæʧ kəɹˈɛkʃən kæn nˈɔɹməlˌIz ˈiʧ plˈAt əɡˈɛnst ɪts kəntɹˈOlz. jˈuz ɐ kəɹˈɛkʃən ðæt pɹəzˈɜɹvz ðə bˌIəlˈɑʤəkᵊl kˈɑntɹˌæst ænd kæn bi əplˈId kənsˈɪstəntli tə fjˈuʧəɹ dˈATə.",
"authored_hold_after": 0.7,
"hold_after": 0.52,
"base_speed": 0.94,
"speed_multiplier": 1.0,
"effective_speed": 0.94,
"sentences": [
{
"sentence": 1,
"speech_start": 44.87000000000001,
"speech_end": 49.46000000000001,
"audible_start": 44.97000000000001,
"audible_end": 49.280000000000015,
"duration": 4.59,
"gap_from_previous": null,
"trimmed_lead": 0.16,
"trimmed_tail": 0.45,
"text": "Plate and Batch Correction can normalize each plate against its controls.",
"speech_text": "Plate and Batch Correction can normalize each plate against its controls.",
"phonemes": "plˈAt ænd bˈæʧ kəɹˈɛkʃən kæn nˈɔɹməlˌIz ˈiʧ plˈAt əɡˈɛnst ɪts kəntɹˈOlz."
},
{
"sentence": 2,
"speech_start": 49.58000000000001,
"speech_end": 56.11500000000001,
"audible_start": 49.680000000000014,
"audible_end": 55.93500000000001,
"duration": 6.535,
"gap_from_previous": 0.4,
"trimmed_lead": 0.165,
"trimmed_tail": 0.525,
"text": "Use a correction that preserves the biological contrast and can be applied consistently to future data.",
"speech_text": "Use a correction that preserves the biological contrast and can be applied consistently to future data.",
"phonemes": "jˈuz ɐ kəɹˈɛkʃən ðæt pɹəzˈɜɹvz ðə bˌIəlˈɑʤəkᵊl kˈɑntɹˌæst ænd kæn bi əplˈId kənsˈɪstəntli tə fjˈuʧəɹ dˈATə."
}
]
},
{
"scene": 6,
"speech_start": 56.63500000000001,
"speech_end": 67.58000000000001,
"scene_end": 68.10000000000001,
"duration": 11.464999999999996,
"text": "Classifier and Validation selects the estimator, complexity, held-out split, and cross-validation behavior. Group related objects by plate or well to avoid leakage.",
"speech_text": "[Classifier](/klˈæsəfIəɹ/) and Validation selects the estimator, complexity, held-out split, and cross-validation behavior. Group related objects by plate or well to avoid leakage.",
"phonemes": "klˈæsəfIəɹ ænd vˌælɪdˈAʃən səlˈɛkts ði ˈɛstəmˌATəɹ, kəmplˈɛksəTi, hˈɛldˌWt splˈɪt, ænd kɹˌɔsvˌælɪdˈAʃən bəhˈAvjəɹ. ɡɹˈup ɹəlˈATᵻd ˈɑbʤəkts bI plˈAt ɔɹ wˈɛl tʊ əvˈYd lˈikɪʤ.",
"authored_hold_after": 0.7,
"hold_after": 0.52,
"base_speed": 0.94,
"speed_multiplier": 1.0,
"effective_speed": 0.94,
"sentences": [
{
"sentence": 1,
"speech_start": 56.63500000000001,
"speech_end": 63.56000000000001,
"audible_start": 56.735000000000014,
"audible_end": 63.38000000000001,
"duration": 6.925,
"gap_from_previous": null,
"trimmed_lead": 0.16,
"trimmed_tail": 0.54,
"text": "Classifier and Validation selects the estimator, complexity, held-out split, and cross-validation behavior.",
"speech_text": "[Classifier](/klˈæsəfIəɹ/) and Validation selects the estimator, complexity, held-out split, and cross-validation behavior.",
"phonemes": "klˈæsəfIəɹ ænd vˌælɪdˈAʃən səlˈɛkts ði ˈɛstəmˌATəɹ, kəmplˈɛksəTi, hˈɛldˌWt splˈɪt, ænd kɹˌɔsvˌælɪdˈAʃən bəhˈAvjəɹ."
},
{
"sentence": 2,
"speech_start": 63.680000000000014,
"speech_end": 67.58000000000001,
"audible_start": 63.780000000000015,
"audible_end": 67.4,
"duration": 3.9,
"gap_from_previous": 0.4,
"trimmed_lead": 0.16,
"trimmed_tail": 0.44,
"text": "Group related objects by plate or well to avoid leakage.",
"speech_text": "Group related objects by plate or well to avoid leakage.",
"phonemes": "ɡɹˈup ɹəlˈATᵻd ˈɑbʤəkts bI plˈAt ɔɹ wˈɛl tʊ əvˈYd lˈikɪʤ."
}
]
},
{
"scene": 7,
"speech_start": 68.10000000000001,
"speech_end": 79.33000000000001,
"scene_end": 79.85000000000001,
"duration": 11.75,
"text": "Feature Selection and Importance prunes the final feature set and estimates which measurements support the classifier. Interpret importance only after held-out performance is acceptable.",
"speech_text": "Feature Selection and Importance prunes the final feature set and estimates which measurements support the [classifier](/klˈæsəfIəɹ/). Interpret importance only after held-out performance is acceptable.",
"phonemes": "fˈiʧəɹ səlˈɛkʃən ænd ɪmpˈɔɹtᵊns pɹˈunz ðə fˈInᵊl fˈiʧəɹ sˈɛt ænd ˈɛstəməts wˌɪʧ mˈɛʒəɹmᵊnts səpˈɔɹt ðə klˈæsəfIəɹ. ɪntˈɜɹpɹət ɪmpˈɔɹtᵊns ˈOnli ˈæftəɹ hˈɛldˌWt pəɹfˈɔɹməns ɪz əksˈɛptəbᵊl.",
"authored_hold_after": 0.7,
"hold_after": 0.52,
"base_speed": 0.94,
"speed_multiplier": 1.0,
"effective_speed": 0.94,
"sentences": [
{
"sentence": 1,
"speech_start": 68.10000000000001,
"speech_end": 74.83500000000001,
"audible_start": 68.2,
"audible_end": 74.655,
"duration": 6.735,
"gap_from_previous": null,
"trimmed_lead": 0.16,
"trimmed_tail": 0.53,
"text": "Feature Selection and Importance prunes the final feature set and estimates which measurements support the classifier.",
"speech_text": "Feature Selection and Importance prunes the final feature set and estimates which measurements support the [classifier](/klˈæsəfIəɹ/).",
"phonemes": "fˈiʧəɹ səlˈɛkʃən ænd ɪmpˈɔɹtᵊns pɹˈunz ðə fˈInᵊl fˈiʧəɹ sˈɛt ænd ˈɛstəməts wˌɪʧ mˈɛʒəɹmᵊnts səpˈɔɹt ðə klˈæsəfIəɹ."
},
{
"sentence": 2,
"speech_start": 74.95500000000001,
"speech_end": 79.33000000000001,
"audible_start": 75.055,
"audible_end": 79.15,
"duration": 4.375,
"gap_from_previous": 0.4,
"trimmed_lead": 0.16,
"trimmed_tail": 0.465,
"text": "Interpret importance only after held-out performance is acceptable.",
"speech_text": "Interpret importance only after held-out performance is acceptable.",
"phonemes": "ɪntˈɜɹpɹət ɪmpˈɔɹtᵊns ˈOnli ˈæftəɹ hˈɛldˌWt pəɹfˈɔɹməns ɪz əksˈɛptəbᵊl."
}
]
},
{
"scene": 8,
"speech_start": 79.85000000000001,
"speech_end": 89.135,
"scene_end": 89.655,
"duration": 9.804999999999993,
"text": "Output and Database controls whether probabilities, class calls, model files, and selected features are saved or written back to the measurement project.",
"speech_text": "Output and Database controls whether probabilities, class calls, model files, and selected features are saved or written back to the measurement project.",
"phonemes": "ˈWtpˌʊt ænd dˈæTəbˌAs kəntɹˈOlz wˈɛðəɹ pɹˌɑbəbˈɪləTiz, klˈæs kˈɔlz, mˈɑdᵊl fˈIlz, ænd səlˈɛktᵻd fˈiʧəɹz ɑɹ sˈAvd ɔɹ ɹˈɪtn bˈæk tə ðə mˈɛʒəɹmᵊnt pɹˈɑʤˌɛkt.",
"authored_hold_after": 0.7,
"hold_after": 0.52,
"base_speed": 0.94,
"speed_multiplier": 1.0,
"effective_speed": 0.94,
"sentences": [
{
"sentence": 1,
"speech_start": 79.85000000000001,
"speech_end": 89.135,
"audible_start": 79.95,
"audible_end": 88.95500000000001,
"duration": 9.285,
"gap_from_previous": null,
"trimmed_lead": 0.17,
"trimmed_tail": 0.52,
"text": "Output and Database controls whether probabilities, class calls, model files, and selected features are saved or written back to the measurement project.",
"speech_text": "Output and Database controls whether probabilities, class calls, model files, and selected features are saved or written back to the measurement project.",
"phonemes": "ˈWtpˌʊt ænd dˈæTəbˌAs kəntɹˈOlz wˈɛðəɹ pɹˌɑbəbˈɪləTiz, klˈæs kˈɔlz, mˈɑdᵊl fˈIlz, ænd səlˈɛktᵻd fˈiʧəɹz ɑɹ sˈAvd ɔɹ ɹˈɪtn bˈæk tə ðə mˈɛʒəɹmᵊnt pɹˈɑʤˌɛkt."
}
]
},
{
"scene": 9,
"speech_start": 89.655,
"speech_end": 100.9,
"scene_end": 101.42,
"duration": 11.765,
"text": "Hyperparameter Search is a mini workbench for comparing a focused set of model choices with grouped folds. The results table ranks completed trials and shows their variation.",
"speech_text": "hyper-parameter Search is a mini workbench for comparing a focused set of model choices with grouped folds. The results table ranks completed trials and shows their variation.",
"phonemes": "hˌIpəɹpəɹˈæməTəɹ sˈɜɹʧ ɪz ɐ mˈɪni wˈɜɹkbˌɛnʧ fɔɹ kəmpˈɛɹɪŋ ɐ fˈOkəst sˈɛt ʌv mˈɑdᵊl ʧˈYsᵻz wɪð ɡɹˈupt fˈOldz. ðə ɹəzˈʌlts tˈAbᵊl ɹˈæŋks kəmplˈiTᵻd tɹˈIᵊlz ænd ʃˈOz ðɛɹ vˌɛɹiˈAʃən.",
"authored_hold_after": 0.7,
"hold_after": 0.52,
"base_speed": 0.94,
"speed_multiplier": 1.0,
"effective_speed": 0.94,
"sentences": [
{
"sentence": 1,
"speech_start": 89.655,
"speech_end": 96.325,
"audible_start": 89.755,
"audible_end": 96.145,
"duration": 6.67,
"gap_from_previous": null,
"trimmed_lead": 0.155,
"trimmed_tail": 0.5,
"text": "Hyperparameter Search is a mini workbench for comparing a focused set of model choices with grouped folds.",
"speech_text": "hyper-parameter Search is a mini workbench for comparing a focused set of model choices with grouped folds.",
"phonemes": "hˌIpəɹpəɹˈæməTəɹ sˈɜɹʧ ɪz ɐ mˈɪni wˈɜɹkbˌɛnʧ fɔɹ kəmpˈɛɹɪŋ ɐ fˈOkəst sˈɛt ʌv mˈɑdᵊl ʧˈYsᵻz wɪð ɡɹˈupt fˈOldz."
},
{
"sentence": 2,
"speech_start": 96.44500000000001,
"speech_end": 100.9,
"audible_start": 96.545,
"audible_end": 100.72,
"duration": 4.455,
"gap_from_previous": 0.4,
"trimmed_lead": 0.17,
"trimmed_tail": 0.475,
"text": "The results table ranks completed trials and shows their variation.",
"speech_text": "The results table ranks completed trials and shows their variation.",
"phonemes": "ðə ɹəzˈʌlts tˈAbᵊl ɹˈæŋks kəmplˈiTᵻd tɹˈIᵊlz ænd ʃˈOz ðɛɹ vˌɛɹiˈAʃən."
}
]
},
{
"scene": 10,
"speech_start": 101.42,
"speech_end": 111.04,
"scene_end": 111.56,
"duration": 10.14,
"text": "Search Settings defines candidate values, trial budget, folds, seed, and ranking metric. Keep the search space small enough to explain and reproduce.",
"speech_text": "Search Settings defines candidate values, trial budget, folds, seed, and ranking metric. Keep the search space small enough to explain and reproduce.",
"phonemes": "sˈɜɹʧ sˈɛTɪŋz dəfˈInz kˈændədˌAt vˈæljuz, tɹˈIᵊl bˈʌʤət, fˈOldz, sˈid, ænd ɹˈæŋkɪŋ mˈɛtɹɪk. kˈip ðə sˈɜɹʧ spˈAs smˈɔl ɪnˈʌf tʊ ɪksplˈAn ænd ɹˌipɹədˈus.",
"authored_hold_after": 0.7,
"hold_after": 0.52,
"base_speed": 0.94,
"speed_multiplier": 1.0,
"effective_speed": 0.94,
"sentences": [
{
"sentence": 1,
"speech_start": 101.42,
"speech_end": 107.165,
"audible_start": 101.52,
"audible_end": 106.985,
"duration": 5.745,
"gap_from_previous": null,
"trimmed_lead": 0.155,
"trimmed_tail": 0.5,
"text": "Search Settings defines candidate values, trial budget, folds, seed, and ranking metric.",
"speech_text": "Search Settings defines candidate values, trial budget, folds, seed, and ranking metric.",
"phonemes": "sˈɜɹʧ sˈɛTɪŋz dəfˈInz kˈændədˌAt vˈæljuz, tɹˈIᵊl bˈʌʤət, fˈOldz, sˈid, ænd ɹˈæŋkɪŋ mˈɛtɹɪk."
},
{
"sentence": 2,
"speech_start": 107.285,
"speech_end": 111.04,
"audible_start": 107.385,
"audible_end": 110.86,
"duration": 3.755,
"gap_from_previous": 0.4,
"trimmed_lead": 0.16,
"trimmed_tail": 0.435,
"text": "Keep the search space small enough to explain and reproduce.",
"speech_text": "Keep the search space small enough to explain and reproduce.",
"phonemes": "kˈip ðə sˈɜɹʧ spˈAs smˈɔl ɪnˈʌf tʊ ɪksplˈAn ænd ɹˌipɹədˈus."
}
]
},
{
"scene": 11,
"speech_start": 111.56,
"speech_end": 125.87,
"scene_end": 126.39,
"duration": 14.829999999999998,
"text": "Run validates controls, prepares features, applies any plate correction, evaluates the classifier, calculates importance, and saves enabled outputs. Review held-out and per-plate behavior before using predictions biologically.",
"speech_text": "Run validates controls, prepares features, applies any plate correction, evaluates the [classifier](/klˈæsəfIəɹ/), calculates importance, and saves enabled outputs. Review held-out and per-plate behavior before using predictions biologically.",
"phonemes": "ɹˈʌn vˈælɪdˌAts kəntɹˈOlz, pɹipˈɛɹz fˈiʧəɹz, əplˈIz ˈɛni plˈAt kəɹˈɛkʃən, əvˈæljʊˌAts ðə klˈæsəfIəɹ, kˈælkjəlˌAts ɪmpˈɔɹtᵊns, ænd sˈAvz ɪnˈAbᵊld ˈWtpˌʊts. ɹəvjˈu hˈɛldˌWt ænd pɜɹplˈAt bəhˈAvjəɹ bəfˈɔɹ jˈuzɪŋ pɹidˈɪkʃənz bˌIəlˈɑʤəkᵊli.",
"authored_hold_after": 0.7,
"hold_after": 0.52,
"base_speed": 0.94,
"speed_multiplier": 1.0,
"effective_speed": 0.94,
"sentences": [
{
"sentence": 1,
"speech_start": 111.56,
"speech_end": 120.73,
"audible_start": 111.66,
"audible_end": 120.55,
"duration": 9.17,
"gap_from_previous": null,
"trimmed_lead": 0.17,
"trimmed_tail": 0.51,
"text": "Run validates controls, prepares features, applies any plate correction, evaluates the classifier, calculates importance, and saves enabled outputs.",
"speech_text": "Run validates controls, prepares features, applies any plate correction, evaluates the [classifier](/klˈæsəfIəɹ/), calculates importance, and saves enabled outputs.",
"phonemes": "ɹˈʌn vˈælɪdˌAts kəntɹˈOlz, pɹipˈɛɹz fˈiʧəɹz, əplˈIz ˈɛni plˈAt kəɹˈɛkʃən, əvˈæljʊˌAts ðə klˈæsəfIəɹ, kˈælkjəlˌAts ɪmpˈɔɹtᵊns, ænd sˈAvz ɪnˈAbᵊld ˈWtpˌʊts."
},
{
"sentence": 2,
"speech_start": 120.85,
"speech_end": 125.87,
"audible_start": 120.95,
"audible_end": 125.69,
"duration": 5.02,
"gap_from_previous": 0.4,
"trimmed_lead": 0.165,
"trimmed_tail": 0.49,
"text": "Review held-out and per-plate behavior before using predictions biologically.",
"speech_text": "Review held-out and per-plate behavior before using predictions biologically.",
"phonemes": "ɹəvjˈu hˈɛldˌWt ænd pɜɹplˈAt bəhˈAvjəɹ bəfˈɔɹ jˈuzɪŋ pɹidˈɪkʃənz bˌIəlˈɑʤəkᵊli."
}
]
}
]
}