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multilingual-video-dubbing-text-to-speech多语言视频配音文本转语音

Agent Skill

用于辅助视频生成、动画合成、脚本化剪辑或 Remotion 等视频项目开发。它适合让 Agent 组织镜头、生成素材说明、维护合成代码或排查渲染问题。使用时需要确认分辨率、时长、素材路径和导出格式;涉及外部素材、人物肖像或商业发布时,应先核对版权授权和内容审核要求。

总安装

2,496

周安装

135

GitHub Stars

公开资料未说明

下载量

808
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:multilingual-video-dubbing-text-to-speech(多语言视频配音文本转语音)
来源仓库:https://github.com/lnj22/multilingual-video-dubbing-text-to-speech
安装命令:
openclaw skills install multilingual-video-dubbing-text-to-speech
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install multilingual-video-dubbing-text-to-speech

简介

multilingual-video-dubbing-text-to-speech 提供 TTS 音频的母带处理服务,包含清理和响度标准化功能。

  • 适用于多语言配音项目的后期制作,确保音频质量符合发布标准。
  • 通过 openclaw skills install multilingual-video-dubbing-text-to-speech 安装调用。
  • 涉及人声克隆时需特别注意授权合规性。
  • 适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。

SKILL.md

name
TTS Audio Mastering
description
Practical mastering steps for TTS audio: cleanup, loudness normalization, alignment, and delivery specs.

SKILL: TTS Audio Mastering

This skill focuses on producing clean, consistent, and delivery-ready TTS audio for video tasks. It covers speech cleanup, loudness normalization, segment boundaries, and export specs.

1. TTS Engine & Output Basics

Choose a TTS engine based on deployment constraints and quality needs:

  • Neural offline (e.g., Kokoro): stable, high quality, no network dependency.
  • Cloud TTS (e.g., Edge-TTS / OpenAI TTS): convenient, higher naturalness but network-dependent.
  • Formant TTS (e.g., espeak-ng): for prototyping only; often less natural.

Key rule: Always confirm the native sample rate of the generated audio before resampling for video delivery.


2. Speech Cleanup (Per Segment)

Apply lightweight processing to avoid common artifacts:

  • Rumble/DC removal: high-pass filter around 20 Hz
  • Harshness control: optional low-pass around 16 kHz (helps remove digital fizz)
  • Click/pop prevention: short fades at boundaries (e.g., 50 ms fade-in and fade-out)

Recommended FFmpeg pattern (example):

  • Add filters in a single chain, and keep them consistent across segments.

3. Loudness Normalization

Target loudness depends on the benchmark/task spec. A common target is ITU-R BS.1770 loudness measurement:

  • Integrated loudness: -23 LUFS
  • True peak: around -1.5 dBTP
  • LRA: around 11 (optional)

Recommended workflow:

  1. Measure loudness using FFmpeg ebur128 (or equivalent meter).
  2. Apply normalization (e.g., loudnorm) as the final step after cleanup and timing edits.
  3. If you adjust tempo/duration after normalization, re-normalize again.

4. Timing & Segment Boundary Handling

When stitching segment-level TTS into a full track:

  • Match each segment to its target window as closely as possible.
  • If a segment is shorter than its window, pad with silence.
  • If a segment is longer, use gentle duration control (small speed change) or truncate carefully.
  • Always apply boundary fades after padding/trimming to avoid clicks.

Sync guideline: keep end-to-end drift small (e.g., <= 0.2s) unless the task states otherwise.

适合场景

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能力概览

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能力 4

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能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

80.42%
按下载量换算650

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权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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