| { |
| "schema": 1, |
| "language": "en", |
| "lang_code": "a", |
| "dialect": "us", |
| "voice": "am_liam", |
| "speed": 0.88, |
| "sample_rate": 24000, |
| "total_duration": 39.16, |
| "media_sha256": "fad41971fb80d2061ef303f6eec92faef95472ff5d4a0427761e6eb96e1bc9e3", |
| "media_bytes": 247272, |
| "render_fingerprint": "ccec58c2068a53b2743d74d578a67b8f67375a8680193950c8f3027b08a32d61", |
| "render_inputs": { |
| "renderer": "render_all_voices-v4", |
| "lesson": "39_classifier_evaluation", |
| "language": "en", |
| "lang_code": "a", |
| "dialect": "us", |
| "voice": "am_liam", |
| "speed": 0.88, |
| "scenes": [ |
| { |
| "narration": "This tutorial covers Classifier Evaluation. Audit held-out predictions, nested cross-validation, calibration, leakage, and per-plate performance.", |
| "speech_text": [ |
| "This tutorial covers [Classifier](/klˈæsəfIəɹ/) Evaluation.", |
| "Audit held-out predictions, nested cross-validation, calibration, leakage, and per-plate performance." |
| ], |
| "authored_hold": 0.45, |
| "resolved_hold": 0.45, |
| "speed_multiplier": 1.0, |
| "effective_speed": 0.88 |
| }, |
| { |
| "narration": "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." |
| ], |
| "authored_hold": 0.45, |
| "resolved_hold": 0.45, |
| "speed_multiplier": 1.0, |
| "effective_speed": 0.88 |
| }, |
| { |
| "narration": "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." |
| ], |
| "authored_hold": 0.45, |
| "resolved_hold": 0.45, |
| "speed_multiplier": 1.0, |
| "effective_speed": 0.88 |
| }, |
| { |
| "narration": "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](/klˈæsəfIəɹ/) for biological conclusions." |
| ], |
| "authored_hold": 0.45, |
| "resolved_hold": 0.45, |
| "speed_multiplier": 1.0, |
| "effective_speed": 0.88 |
| }, |
| { |
| "narration": "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." |
| ], |
| "authored_hold": 0.65, |
| "resolved_hold": 0.52, |
| "speed_multiplier": 1.0, |
| "effective_speed": 0.88 |
| } |
| ], |
| "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": "c82550757ddb31308b97f30040dda8c2d609a9e2de6135848d0a948368138518", |
| "bytes": 523420, |
| "sha256": "c82550757ddb31308b97f30040dda8c2d609a9e2de6135848d0a948368138518", |
| "tensor_sha256": "52403be32fd047c6a44517cb0bcd6b134f2a18baa73e70ef41651e0eab921ade", |
| "loaded_tensor_sha256": "52403be32fd047c6a44517cb0bcd6b134f2a18baa73e70ef41651e0eab921ade" |
| }, |
| "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": 9.23, |
| "scene_end": 9.68, |
| "duration": 9.68, |
| "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](/klˈæsəfIəɹ/) Evaluation. Audit held-out predictions, nested cross-validation, calibration, leakage, and per-plate performance.", |
| "phonemes": "ðˌɪs tutˈɔɹiəl kˈʌvəɹz klˈæsəfIəɹ əvˌæljʊˈAʃən. ˈɔdət hˈɛldˌWt pɹidˈɪkʃənz, nˈɛstᵻd kɹˌɔsvˌælɪdˈAʃən, kˌæləbɹˈAʃən, lˈikɪʤ, ænd pɜɹplˈAt pəɹfˈɔɹməns.", |
| "authored_hold_after": 0.45, |
| "hold_after": 0.45, |
| "base_speed": 0.88, |
| "speed_multiplier": 1.0, |
| "effective_speed": 0.88, |
| "sentences": [ |
| { |
| "sentence": 1, |
| "speech_start": 0.0, |
| "speech_end": 3.26, |
| "audible_start": 0.1, |
| "audible_end": 3.08, |
| "duration": 3.26, |
| "gap_from_previous": null, |
| "trimmed_lead": 0.15, |
| "trimmed_tail": 0.39, |
| "text": "This tutorial covers Classifier Evaluation.", |
| "speech_text": "This tutorial covers [Classifier](/klˈæsəfIəɹ/) Evaluation.", |
| "phonemes": "ðˌɪs tutˈɔɹiəl kˈʌvəɹz klˈæsəfIəɹ əvˌæljʊˈAʃən." |
| }, |
| { |
| "sentence": 2, |
| "speech_start": 3.38, |
| "speech_end": 9.23, |
| "audible_start": 3.48, |
| "audible_end": 9.05, |
| "duration": 5.85, |
| "gap_from_previous": 0.4, |
| "trimmed_lead": 0.18, |
| "trimmed_tail": 0.42, |
| "text": "Audit held-out predictions, nested cross-validation, calibration, leakage, and per-plate performance.", |
| "speech_text": "Audit held-out predictions, nested cross-validation, calibration, leakage, and per-plate performance.", |
| "phonemes": "ˈɔdət hˈɛldˌWt pɹidˈɪkʃənz, nˈɛstᵻd kɹˌɔsvˌælɪdˈAʃən, kˌæləbɹˈAʃən, lˈikɪʤ, ænd pɜɹplˈAt pəɹfˈɔɹməns." |
| } |
| ] |
| }, |
| { |
| "scene": 2, |
| "speech_start": 9.68, |
| "speech_end": 16.265, |
| "scene_end": 16.715, |
| "duration": 7.035, |
| "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.", |
| "authored_hold_after": 0.45, |
| "hold_after": 0.45, |
| "base_speed": 0.88, |
| "speed_multiplier": 1.0, |
| "effective_speed": 0.88, |
| "sentences": [ |
| { |
| "sentence": 1, |
| "speech_start": 9.68, |
| "speech_end": 16.265, |
| "audible_start": 9.78, |
| "audible_end": 16.085, |
| "duration": 6.585, |
| "gap_from_previous": null, |
| "trimmed_lead": 0.16, |
| "trimmed_tail": 0.405, |
| "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": 16.715, |
| "speech_end": 24.77, |
| "scene_end": 25.22, |
| "duration": 8.504999999999999, |
| "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.", |
| "authored_hold_after": 0.45, |
| "hold_after": 0.45, |
| "base_speed": 0.88, |
| "speed_multiplier": 1.0, |
| "effective_speed": 0.88, |
| "sentences": [ |
| { |
| "sentence": 1, |
| "speech_start": 16.715, |
| "speech_end": 24.77, |
| "audible_start": 16.815, |
| "audible_end": 24.59, |
| "duration": 8.055, |
| "gap_from_previous": null, |
| "trimmed_lead": 0.185, |
| "trimmed_tail": 0.41, |
| "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": 25.22, |
| "speech_end": 31.099999999999998, |
| "scene_end": 31.549999999999997, |
| "duration": 6.329999999999998, |
| "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](/klˈæsəfIəɹ/) for biological conclusions.", |
| "phonemes": "əvˈæljʊˌAt hˈɛldˌWt ænd pɜɹplˈAt bəhˈAvjəɹ bəfˈɔɹ jˈuzɪŋ ɐ klˈæsəfIəɹ fɔɹ bˌIəlˈɑʤəkᵊl kənklˈuʒənz.", |
| "authored_hold_after": 0.45, |
| "hold_after": 0.45, |
| "base_speed": 0.88, |
| "speed_multiplier": 1.0, |
| "effective_speed": 0.88, |
| "sentences": [ |
| { |
| "sentence": 1, |
| "speech_start": 25.22, |
| "speech_end": 31.099999999999998, |
| "audible_start": 25.32, |
| "audible_end": 30.919999999999998, |
| "duration": 5.88, |
| "gap_from_previous": null, |
| "trimmed_lead": 0.175, |
| "trimmed_tail": 0.445, |
| "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](/klˈæsəfIəɹ/) for biological conclusions.", |
| "phonemes": "əvˈæljʊˌAt hˈɛldˌWt ænd pɜɹplˈAt bəhˈAvjəɹ bəfˈɔɹ jˈuzɪŋ ɐ klˈæsəfIəɹ fɔɹ bˌIəlˈɑʤəkᵊl kənklˈuʒənz." |
| } |
| ] |
| }, |
| { |
| "scene": 5, |
| "speech_start": 31.549999999999997, |
| "speech_end": 38.64, |
| "scene_end": 39.160000000000004, |
| "duration": 7.6100000000000065, |
| "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.", |
| "authored_hold_after": 0.65, |
| "hold_after": 0.52, |
| "base_speed": 0.88, |
| "speed_multiplier": 1.0, |
| "effective_speed": 0.88, |
| "sentences": [ |
| { |
| "sentence": 1, |
| "speech_start": 31.549999999999997, |
| "speech_end": 38.64, |
| "audible_start": 31.65, |
| "audible_end": 38.459999999999994, |
| "duration": 7.09, |
| "gap_from_previous": null, |
| "trimmed_lead": 0.165, |
| "trimmed_tail": 0.42, |
| "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." |
| } |
| ] |
| } |
| ] |
| } |
|
|
