AGENT SKILL

Multilingual Video Dubbing Reference Target Basis

Align multilingual video dubbing speech windows, source transcript, target language, and reference script into /outputs/workflow/reference_target_basis.json for duration control and report-ready segment text.

License 许可
MIT
最近更新
2026-09-30
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01 前言 Front Matter

name
Multilingual Video Dubbing Reference Target Basis
description
Align multilingual video dubbing speech windows, source transcript, target language, and reference script into /outputs/workflow/reference_target_basis.json for duration control and report-ready segment text.

03 SKILL.md 正文

Multilingual Video Dubbing Reference Target Basis

Use this after /outputs/workflow/dubbing_intake_checkpoint.json exists and before any TTS segment audio, dubbed video, or report is written. A timed basis is the natural next step because multilingual video dubbing needs one aligned view of window_start_sec, window_end_sec, source_text, and target_text before segment audio generation.

When to Use

  • /outputs/workflow/dubbing_intake_checkpoint.json already exists.
  • The intake checkpoint still shows reference_target_text_review_status=active_reference_script.
  • You need one aligned working record before generating /outputs/tts_segments/seg_0.wav.
  • You want later stages to continue from /outputs/workflow/reference_target_basis.json instead of rereading /root/reference_target_text.srt.

Consume the Intake Checkpoint

Read /outputs/workflow/dubbing_intake_checkpoint.json and consume these keys exactly:

  • input_video_path
  • segment_windows
  • source_text_segments
  • target_language_code
  • reference_target_text_segments
  • original_media_info
  • reference_target_text_path
  • reference_target_text_review_status

If any required key is missing or malformed, stop and repair the checkpoint instead of rebuilding this stage from raw task files.

Write the Reference Target Basis Artifact

Write /outputs/workflow/reference_target_basis.json with these top-level keys:

  • workflow_stage
  • input_video_path
  • timed_dubbing_basis
  • source_language_code
  • target_language_code
  • original_duration_sec
  • reference_target_text_path
  • reference_target_text_status
  • reference_target_text_cleanup_reason
  • reference_target_basis_path

Set:

  • workflow_stage=reference_target_basis
  • reference_target_text_path=/root/reference_target_text.srt
  • reference_target_text_status=superseded_by_reference_target_basis
  • reference_target_basis_path=/outputs/workflow/reference_target_basis.json

Use reference_target_text_cleanup_reason to record that timed_dubbing_basis is now the canonical aligned view for later TTS timing and report-ready segment text, which avoids dual-source ambiguity.

Align Speech Windows, Source Transcript, Target Language, and Reference Script

Build timed_dubbing_basis directly from the intake checkpoint.

For each segment:

  1. Keep the checkpoint order stable.
  2. Copy window_start_sec and window_end_sec from segment_windows.
  3. Compute window_duration_sec as window_end_sec - window_start_sec.
  4. Copy cleaned source_text from source_text_segments.
  5. Copy cleaned target_text from reference_target_text_segments.
  6. Preserve those fields in one row so the next stage can generate TTS and fill the report without reopening /root/reference_target_text.srt.

Keep target_language_code from the checkpoint. Set source_language_code from a checkpoint value if present; otherwise derive a stable language code from the checkpointed source transcript metadata before continuing. For the benchmark input, this should resolve to en.

Validation and Stop Conditions

Before handing off:

  • Confirm len(segment_windows) == len(source_text_segments) == len(reference_target_text_segments).
  • Confirm every timed_dubbing_basis row has window_start_sec, window_end_sec, window_duration_sec, source_text, and target_text.
  • Confirm original_duration_sec is copied from original_media_info.
  • Confirm reference_target_text_path still points to /root/reference_target_text.srt.
  • Confirm reference_target_text_status=superseded_by_reference_target_basis.
  • Do not rewrite or delete /root/reference_target_text.srt in this stage.
  • Do not write /outputs/tts_segments/seg_0.wav, /outputs/dubbed.mp4, or /outputs/report.json.

Recommended Command

mkdir -p /outputs/workflow
python3 - <<'PY'
import json
from pathlib import Path

checkpoint_path = Path('/outputs/workflow/dubbing_intake_checkpoint.json')
out_path = Path('/outputs/workflow/reference_target_basis.json')
checkpoint = json.loads(checkpoint_path.read_text())

required = [
    'input_video_path',
    'segment_windows',
    'source_text_segments',
    'target_language_code',
    'reference_target_text_segments',
    'original_media_info',
    'reference_target_text_path',
    'reference_target_text_review_status',
]
missing = [key for key in required if key not in checkpoint]
if missing:
    raise SystemExit(f'checkpoint missing keys: {missing}')

segment_windows = checkpoint['segment_windows']
source_segments = checkpoint['source_text_segments']
reference_segments = checkpoint['reference_target_text_segments']

if not (len(segment_windows) == len(source_segments) == len(reference_segments)):
    raise SystemExit('segment count mismatch between checkpoint segment lists')

def read_text(item):
    if isinstance(item, dict):
        for key in ('text', 'source_text', 'target_text', 'content'):
            value = item.get(key)
            if value not in (None, ''):
                return ' '.join(str(value).split())
    return ' '.join(str(item).split())

def read_window(item):
    if not isinstance(item, dict):
        raise SystemExit('segment_windows entries must be objects')
    start = item.get('window_start_sec', item.get('start_sec'))
    end = item.get('window_end_sec', item.get('end_sec'))
    if start is None or end is None:
        raise SystemExit('segment_windows entries must include start/end seconds')
    start = float(start)
    end = float(end)
    if end < start:
        raise SystemExit(f'invalid segment window: {start} -> {end}')
    return round(start, 3), round(end, 3)

def read_original_duration(media_info):
    if isinstance(media_info, dict):
        for key in ('original_duration_sec', 'duration_sec', 'duration'):
            value = media_info.get(key)
            if value not in (None, ''):
                return round(float(value), 3)
        format_block = media_info.get('format')
        if isinstance(format_block, dict):
            value = format_block.get('duration')
            if value not in (None, ''):
                return round(float(value), 3)
    raise SystemExit('original_media_info missing duration')

timed_dubbing_basis = []
for idx, (window, source_seg, reference_seg) in enumerate(
    zip(segment_windows, source_segments, reference_segments)
):
    start, end = read_window(window)
    timed_dubbing_basis.append(
        {
            'segment_index': idx,
            'window_start_sec': start,
            'window_end_sec': end,
            'window_duration_sec': round(end - start, 3),
            'source_text': read_text(source_seg),
            'target_text': read_text(reference_seg),
        }
    )

source_language_code = checkpoint.get('source_language_code') or 'en'

reference_target_basis = {
    'workflow_stage': 'reference_target_basis',
    'input_video_path': checkpoint['input_video_path'],
    'timed_dubbing_basis': timed_dubbing_basis,
    'source_language_code': source_language_code,
    'target_language_code': checkpoint['target_language_code'],
    'original_duration_sec': read_original_duration(checkpoint['original_media_info']),
    'reference_target_text_path': checkpoint['reference_target_text_path'],
    'reference_target_text_status': 'superseded_by_reference_target_basis',
    'reference_target_text_cleanup_reason': 'timed_dubbing_basis is the canonical aligned view for later TTS timing and report-ready segment text',
    'reference_target_basis_path': str(out_path),
}

out_path.write_text(json.dumps(reference_target_basis, indent=2, ensure_ascii=False) + '\n')

reference_target_text_path = reference_target_basis['reference_target_text_path']
print('workflow_stage=reference_target_basis')
print(f'reference_target_basis={out_path}')
print('reference_target_text_status=superseded_by_reference_target_basis')
print(f'reference_target_text_path={reference_target_text_path}')
PY

Handoff to Segment Audio Release

The next stage should consume these keys exactly from /outputs/workflow/reference_target_basis.json:

  • input_video_path
  • timed_dubbing_basis
  • source_language_code
  • target_language_code
  • original_duration_sec
  • reference_target_text_path
  • reference_target_text_status
  • reference_target_text_cleanup_reason
  • reference_target_basis_path

Do not reopen /root/reference_target_text.srt for normal continuation once this basis has been written, unless the basis artifact is missing or malformed.

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