{ "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." } ] } ] }