{ "schema": 1, "language": "en", "lang_code": "b", "dialect": "uk", "voice": "bm_daniel", "speed": 0.92, "sample_rate": 24000, "total_duration": 45.38, "media_sha256": "a143db4b96f36b46c6459ecc66443852d5857147c04e90f4b358202aea93622a", "media_bytes": 286201, "render_fingerprint": "613ef3a4e96c1ac00bafcba1a00434f1266287f5bfa143ba9757bfd7487f5b38", "render_inputs": { "renderer": "render_all_voices-v4", "lesson": "06_api", "language": "en", "lang_code": "b", "dialect": "uk", "voice": "bm_daniel", "speed": 0.92, "scenes": [ { "narration": "Import spaCR and print its version to confirm that the active Python environment can use the package.", "speech_text": [ "Import spacer and print its version to confirm that the active Python environment can use the package." ], "authored_hold": 0.7, "resolved_hold": 0.52, "speed_multiplier": 1.0, "effective_speed": 0.92 }, { "narration": "Run spacr-run with the list option to see the available pipeline entry points, including mask, measure, annotate, classify, and report.", "speech_text": [ "Run spacer run with the list option to see the available pipeline entry points, including mask, measure, annotate, [classify](/klˈasɪfI/), and report." ], "authored_hold": 0.7, "resolved_hold": 0.52, "speed_multiplier": 1.0, "effective_speed": 0.92 }, { "narration": "Start a module with spacr-run, the module name, and an exported settings file. spaCR validates paths, channels, workers, and hardware options before work begins.", "speech_text": [ "Start a module with spacer run, the module name, and an exported settings file.", "spacer validates paths, channels, workers, and hardware options before work begins." ], "authored_hold": 0.7, "resolved_hold": 0.52, "speed_multiplier": 1.0, "effective_speed": 0.92 }, { "narration": "Add the test option to process a small representative subset first. Review the preview and saved log before submitting a full unattended run.", "speech_text": [ "Add the test option to process a small representative subset first.", "Review the preview and saved log before submitting a full unattended run." ], "authored_hold": 0.7, "resolved_hold": 0.52, "speed_multiplier": 1.0, "effective_speed": 0.92 }, { "narration": "Remove the test option for the full run. Headless jobs save the same outputs, settings, version record, and logs as the desktop workflow.", "speech_text": [ "Remove the test option for the full run.", "Headless jobs save the same outputs, settings, version record, and logs as the desktop workflow." ], "authored_hold": 0.7, "resolved_hold": 0.52, "speed_multiplier": 1.0, "effective_speed": 0.92 } ], "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": "fc3fce4e9c12ed4dbc8fa9680cfe51ee190a96444ce7c3ad647549a30823fc5d", "bytes": 523430, "sha256": "fc3fce4e9c12ed4dbc8fa9680cfe51ee190a96444ce7c3ad647549a30823fc5d", "tensor_sha256": "6b3194bbceffb746733cbc22c8f593dd44e401a71d53895a2dca891bc595a1e8", "loaded_tensor_sha256": "6b3194bbceffb746733cbc22c8f593dd44e401a71d53895a2dca891bc595a1e8" }, "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": 6.05, "scene_end": 6.57, "duration": 6.57, "text": "Import spaCR and print its version to confirm that the active Python environment can use the package.", "speech_text": "Import spacer and print its version to confirm that the active Python environment can use the package.", "phonemes": "ˈɪmpɔːt spˈAsə and pɹˈɪnt ɪts vˈɜːʃᵊn tə kənfˈɜːm ðat ði ˈaktɪv pˈIθn ɪnvˈIɹənmᵊnt kan jˈuːz ðə pˈakɪʤ.", "authored_hold_after": 0.7, "hold_after": 0.52, "base_speed": 0.92, "speed_multiplier": 1.0, "effective_speed": 0.92, "sentences": [ { "sentence": 1, "speech_start": 0.0, "speech_end": 6.05, "audible_start": 0.1, "audible_end": 5.87, "duration": 6.05, "gap_from_previous": null, "trimmed_lead": 0.175, "trimmed_tail": 0.4, "text": "Import spaCR and print its version to confirm that the active Python environment can use the package.", "speech_text": "Import spacer and print its version to confirm that the active Python environment can use the package.", "phonemes": "ˈɪmpɔːt spˈAsə and pɹˈɪnt ɪts vˈɜːʃᵊn tə kənfˈɜːm ðat ði ˈaktɪv pˈIθn ɪnvˈIɹənmᵊnt kan jˈuːz ðə pˈakɪʤ." } ] }, { "scene": 2, "speech_start": 6.57, "speech_end": 14.9, "scene_end": 15.42, "duration": 8.85, "text": "Run spacr-run with the list option to see the available pipeline entry points, including mask, measure, annotate, classify, and report.", "speech_text": "Run spacer run with the list option to see the available pipeline entry points, including mask, measure, annotate, [classify](/klˈasɪfI/), and report.", "phonemes": "ɹˈʌn spˈAsə ɹˈʌn wɪð ðə lˈɪst ˈɒpʃᵊn tə sˈiː ði əvˈAləbᵊl pˈIplIn ˈɛntɹi pˈYnts, ɪnklˈuːdɪŋ mˈɑːsk, mˈɛʒə, ˈanQtAt, klˈasɪfI, and ɹɪpˈɔːt.", "authored_hold_after": 0.7, "hold_after": 0.52, "base_speed": 0.92, "speed_multiplier": 1.0, "effective_speed": 0.92, "sentences": [ { "sentence": 1, "speech_start": 6.57, "speech_end": 14.9, "audible_start": 6.67, "audible_end": 14.72, "duration": 8.33, "gap_from_previous": null, "trimmed_lead": 0.17, "trimmed_tail": 0.4, "text": "Run spacr-run with the list option to see the available pipeline entry points, including mask, measure, annotate, classify, and report.", "speech_text": "Run spacer run with the list option to see the available pipeline entry points, including mask, measure, annotate, [classify](/klˈasɪfI/), and report.", "phonemes": "ɹˈʌn spˈAsə ɹˈʌn wɪð ðə lˈɪst ˈɒpʃᵊn tə sˈiː ði əvˈAləbᵊl pˈIplIn ˈɛntɹi pˈYnts, ɪnklˈuːdɪŋ mˈɑːsk, mˈɛʒə, ˈanQtAt, klˈasɪfI, and ɹɪpˈɔːt." } ] }, { "scene": 3, "speech_start": 15.42, "speech_end": 25.685000000000002, "scene_end": 26.205000000000002, "duration": 10.785000000000002, "text": "Start a module with spacr-run, the module name, and an exported settings file. spaCR validates paths, channels, workers, and hardware options before work begins.", "speech_text": "Start a module with spacer run, the module name, and an exported settings file. spacer validates paths, channels, workers, and hardware options before work begins.", "phonemes": "stˈɑːt ɐ mˈɒdjuːl wɪð spˈAsə ɹˈʌn, ðə mˈɒdjuːl nˈAm, and ɐn ˈɛkspɔːtɪd sˈɛtɪŋz fˈIl. spˈAsə vˈalɪdAts pˈɑːðz, ʧˈanᵊlz, wˈɜːkəz, and hˈɑːdwɛː ˈɒpʃᵊnz bɪfˈɔː wˈɜːk bɪɡˈɪnz.", "authored_hold_after": 0.7, "hold_after": 0.52, "base_speed": 0.92, "speed_multiplier": 1.0, "effective_speed": 0.92, "sentences": [ { "sentence": 1, "speech_start": 15.42, "speech_end": 20.255, "audible_start": 15.52, "audible_end": 20.075, "duration": 4.835, "gap_from_previous": null, "trimmed_lead": 0.145, "trimmed_tail": 0.37, "text": "Start a module with spacr-run, the module name, and an exported settings file.", "speech_text": "Start a module with spacer run, the module name, and an exported settings file.", "phonemes": "stˈɑːt ɐ mˈɒdjuːl wɪð spˈAsə ɹˈʌn, ðə mˈɒdjuːl nˈAm, and ɐn ˈɛkspɔːtɪd sˈɛtɪŋz fˈIl." }, { "sentence": 2, "speech_start": 20.375, "speech_end": 25.685000000000002, "audible_start": 20.475, "audible_end": 25.505000000000003, "duration": 5.31, "gap_from_previous": 0.4, "trimmed_lead": 0.15, "trimmed_tail": 0.415, "text": "spaCR validates paths, channels, workers, and hardware options before work begins.", "speech_text": "spacer validates paths, channels, workers, and hardware options before work begins.", "phonemes": "spˈAsə vˈalɪdAts pˈɑːðz, ʧˈanᵊlz, wˈɜːkəz, and hˈɑːdwɛː ˈɒpʃᵊnz bɪfˈɔː wˈɜːk bɪɡˈɪnz." } ] }, { "scene": 4, "speech_start": 26.205000000000002, "speech_end": 35.465, "scene_end": 35.98500000000001, "duration": 9.780000000000005, "text": "Add the test option to process a small representative subset first. Review the preview and saved log before submitting a full unattended run.", "speech_text": "Add the test option to process a small representative subset first. Review the preview and saved log before submitting a full unattended run.", "phonemes": "ˈad ðə tˈɛst ˈɒpʃᵊn tə pɹˈQsɛs ɐ smˈɔːl ɹˌɛpɹɪzˈɛntətɪv sˈʌbsɛt fˈɜːst. ɹɪvjˈuː ðə pɹˈiːvjuː and sˈAvd lˈɒɡ bɪfˈɔː səbmˈɪtɪŋ ɐ fˈʊl ˌʌnətˈɛndɪd ɹˈʌn.", "authored_hold_after": 0.7, "hold_after": 0.52, "base_speed": 0.92, "speed_multiplier": 1.0, "effective_speed": 0.92, "sentences": [ { "sentence": 1, "speech_start": 26.205000000000002, "speech_end": 30.57, "audible_start": 26.305000000000003, "audible_end": 30.39, "duration": 4.365, "gap_from_previous": null, "trimmed_lead": 0.16, "trimmed_tail": 0.375, "text": "Add the test option to process a small representative subset first.", "speech_text": "Add the test option to process a small representative subset first.", "phonemes": "ˈad ðə tˈɛst ˈɒpʃᵊn tə pɹˈQsɛs ɐ smˈɔːl ɹˌɛpɹɪzˈɛntətɪv sˈʌbsɛt fˈɜːst." }, { "sentence": 2, "speech_start": 30.69, "speech_end": 35.465, "audible_start": 30.790000000000003, "audible_end": 35.285000000000004, "duration": 4.775, "gap_from_previous": 0.4, "trimmed_lead": 0.155, "trimmed_tail": 0.345, "text": "Review the preview and saved log before submitting a full unattended run.", "speech_text": "Review the preview and saved log before submitting a full unattended run.", "phonemes": "ɹɪvjˈuː ðə pɹˈiːvjuː and sˈAvd lˈɒɡ bɪfˈɔː səbmˈɪtɪŋ ɐ fˈʊl ˌʌnətˈɛndɪd ɹˈʌn." } ] }, { "scene": 5, "speech_start": 35.98500000000001, "speech_end": 44.86000000000001, "scene_end": 45.38000000000001, "duration": 9.395000000000003, "text": "Remove the test option for the full run. Headless jobs save the same outputs, settings, version record, and logs as the desktop workflow.", "speech_text": "Remove the test option for the full run. Headless jobs save the same outputs, settings, version record, and logs as the desktop workflow.", "phonemes": "ɹɪmˈuːv ðə tˈɛst ˈɒpʃᵊn fɔː ðə fˈʊl ɹˈʌn. hˈɛdləs ʤˈɒbz sˈAv ðə sˈAm ˈWtpʊts, sˈɛtɪŋz, vˈɜːʃᵊn ɹˈɛkɔːd, and lˈɒɡz az ðə dˈɛsktɒp wˈɜːkflQ.", "authored_hold_after": 0.7, "hold_after": 0.52, "base_speed": 0.92, "speed_multiplier": 1.0, "effective_speed": 0.92, "sentences": [ { "sentence": 1, "speech_start": 35.98500000000001, "speech_end": 38.77000000000001, "audible_start": 36.08500000000001, "audible_end": 38.59, "duration": 2.785, "gap_from_previous": null, "trimmed_lead": 0.145, "trimmed_tail": 0.295, "text": "Remove the test option for the full run.", "speech_text": "Remove the test option for the full run.", "phonemes": "ɹɪmˈuːv ðə tˈɛst ˈɒpʃᵊn fɔː ðə fˈʊl ɹˈʌn." }, { "sentence": 2, "speech_start": 38.89000000000001, "speech_end": 44.86000000000001, "audible_start": 38.99000000000001, "audible_end": 44.68000000000001, "duration": 5.97, "gap_from_previous": 0.4, "trimmed_lead": 0.155, "trimmed_tail": 0.375, "text": "Headless jobs save the same outputs, settings, version record, and logs as the desktop workflow.", "speech_text": "Headless jobs save the same outputs, settings, version record, and logs as the desktop workflow.", "phonemes": "hˈɛdləs ʤˈɒbz sˈAv ðə sˈAm ˈWtpʊts, sˈɛtɪŋz, vˈɜːʃᵊn ɹˈɛkɔːd, and lˈɒɡz az ðə dˈɛsktɒp wˈɜːkflQ." } ] } ] }