| { |
| "schema": 1, |
| "language": "en", |
| "lang_code": "a", |
| "dialect": "us", |
| "voice": "am_eric", |
| "speed": 0.88, |
| "sample_rate": 24000, |
| "total_duration": 38.155, |
| "media_sha256": "aed7fa52eb822ce1bab8acfe5f4183261a4ab7886803e5cb8bee55e9020f6343", |
| "media_bytes": 236342, |
| "render_fingerprint": "808b80f652e82afb1881ea357b74d89a0ff5263af1b1122e48f62e91a5e79eee", |
| "render_inputs": { |
| "renderer": "render_all_voices-v4", |
| "lesson": "39_classifier_evaluation", |
| "language": "en", |
| "lang_code": "a", |
| "dialect": "us", |
| "voice": "am_eric", |
| "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": "ada66f0eefff34ec921b1d7474d7ac8bec00cd863c170f1c534916e9b8212aae", |
| "bytes": 523420, |
| "sha256": "ada66f0eefff34ec921b1d7474d7ac8bec00cd863c170f1c534916e9b8212aae", |
| "tensor_sha256": "e8b5be17edd1e3636901ce7598baafe2dc8dd8ff707a0c23bf9e461add7e2832", |
| "loaded_tensor_sha256": "e8b5be17edd1e3636901ce7598baafe2dc8dd8ff707a0c23bf9e461add7e2832" |
| }, |
| "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": "cpu" |
| }, |
| "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": 8.975, |
| "scene_end": 9.424999999999999, |
| "duration": 9.424999999999999, |
| "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": 3.195, |
| "audible_start": 0.1, |
| "audible_end": 3.015, |
| "duration": 3.195, |
| "gap_from_previous": null, |
| "trimmed_lead": 0.17, |
| "trimmed_tail": 0.41, |
| "text": "This tutorial covers Classifier Evaluation.", |
| "speech_text": "This tutorial covers [Classifier](/klˈæsəfIəɹ/) Evaluation.", |
| "phonemes": "ðˌɪs tutˈɔɹiəl kˈʌvəɹz klˈæsəfIəɹ əvˌæljʊˈAʃən." |
| }, |
| { |
| "sentence": 2, |
| "speech_start": 3.315, |
| "speech_end": 8.975, |
| "audible_start": 3.415, |
| "audible_end": 8.795, |
| "duration": 5.66, |
| "gap_from_previous": 0.4, |
| "trimmed_lead": 0.2, |
| "trimmed_tail": 0.415, |
| "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": 9.424999999999999, |
| "speech_end": 15.895, |
| "scene_end": 16.345, |
| "duration": 6.92, |
| "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": 9.424999999999999, |
| "speech_end": 15.895, |
| "audible_start": 9.524999999999999, |
| "audible_end": 15.715, |
| "duration": 6.47, |
| "gap_from_previous": null, |
| "trimmed_lead": 0.185, |
| "trimmed_tail": 0.395, |
| "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": 16.345, |
| "speech_end": 24.165, |
| "scene_end": 24.615, |
| "duration": 8.27, |
| "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": 16.345, |
| "speech_end": 24.165, |
| "audible_start": 16.445, |
| "audible_end": 23.985, |
| "duration": 7.82, |
| "gap_from_previous": null, |
| "trimmed_lead": 0.21, |
| "trimmed_tail": 0.395, |
| "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": 24.615, |
| "speech_end": 30.375, |
| "scene_end": 30.825, |
| "duration": 6.210000000000001, |
| "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": 24.615, |
| "speech_end": 30.375, |
| "audible_start": 24.715, |
| "audible_end": 30.195, |
| "duration": 5.76, |
| "gap_from_previous": null, |
| "trimmed_lead": 0.2, |
| "trimmed_tail": 0.415, |
| "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": 30.825, |
| "speech_end": 37.635, |
| "scene_end": 38.155, |
| "duration": 7.330000000000002, |
| "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": 30.825, |
| "speech_end": 37.635, |
| "audible_start": 30.925, |
| "audible_end": 37.455, |
| "duration": 6.81, |
| "gap_from_previous": null, |
| "trimmed_lead": 0.205, |
| "trimmed_tail": 0.41, |
| "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." |
| } |
| ] |
| } |
| ] |
| } |
|
|
