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acestep-lyrics-transcriptionacestep 歌词转录

Agent Skill

acestep-lyrics-transcription 用于处理音频、语音、转写和声音素材相关任务,适合在 OpenClaw 中需要整理音频流程、转写内容或生成配音素材时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

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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:acestep-lyrics-transcription(acestep 歌词转录)
来源仓库:https://github.com/dumoedss/acestep-lyrics-transcription
安装命令:
openclaw skills install acestep-lyrics-transcription
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 acestep-lyrics-transcription

简介

使用 OpenAI Whisper 或 ElevenLabs Scribe API 将音频转录为带时间戳的歌词。输出带有字级时间戳的 LRC、SRT 或 JSON。当用户想要转录歌曲、生成 LRC 文件或从音频中提取带有时间戳的歌词时使用。

SKILL.md

name
acestep-lyrics-transcription
description
Transcribe audio to timestamped lyrics using OpenAI Whisper or ElevenLabs Scribe API. Outputs LRC, SRT, or JSON with word-level timestamps. Use when users want to transcribe songs, generate LRC files, or extract lyrics with timestamps from audio.
allowed-tools
Read, Write, Bash

Lyrics Transcription Skill

Transcribe audio files to timestamped lyrics (LRC/SRT/JSON) via OpenAI Whisper or ElevenLabs Scribe API.

API Key Setup Guide

Before transcribing, you MUST check whether the user's API key is configured. Run the following command to check:

cd "{project_root}/{.claude or .codex}/skills/acestep-lyrics-transcription/" && bash ./scripts/acestep-lyrics-transcription.sh config --check-key

This command only reports whether the active provider's API key is set or empty — it does NOT print the actual key value. NEVER read or display the user's API key content. Do not use config --get on key fields or read config.json directly. The config --list command is safe — it automatically masks API keys as *** in output.

If the command reports the key is empty, you MUST stop and guide the user to configure it before proceeding. Do NOT attempt transcription without a valid key — it will fail.

Use AskUserQuestion to ask the user to provide their API key, with the following options and guidance:

  1. Tell the user which provider is currently active (openai or elevenlabs) and that its API key is not configured. Explain that transcription cannot proceed without it.
  2. Provide clear instructions on where to obtain a key:

- OpenAI: Get an API key at https://platform.openai.com/api-keys — requires an OpenAI account with billing enabled. The Whisper API costs ~$0.006/min. - ElevenLabs: Get an API key at https://elevenlabs.io/app/settings/api-keys — requires an ElevenLabs account. Free tier includes limited credits.

  1. Also offer the option to switch to the other provider if they already have a key for it.
  2. Once the user provides the key, configure it using:
   cd "{project_root}/{.claude or .codex}/skills/acestep-lyrics-transcription/" && bash ./scripts/acestep-lyrics-transcription.sh config --set <provider>.api_key <KEY>
  1. If the user wants to switch providers, also run:
   cd "{project_root}/{.claude or .codex}/skills/acestep-lyrics-transcription/" && bash ./scripts/acestep-lyrics-transcription.sh config --set provider <provider_name>
  1. After configuring, re-run config --check-key to verify the key is set before proceeding.

If the API key is already configured, proceed directly to transcription without asking.

Quick Start

# 1. cd to this skill's directory
cd {project_root}/{.claude or .codex}/skills/acestep-lyrics-transcription/

# 2. Configure API key (choose one)
./scripts/acestep-lyrics-transcription.sh config --set openai.api_key sk-...
# or
./scripts/acestep-lyrics-transcription.sh config --set elevenlabs.api_key ...
./scripts/acestep-lyrics-transcription.sh config --set provider elevenlabs

# 3. Transcribe
./scripts/acestep-lyrics-transcription.sh transcribe --audio /path/to/song.mp3 --language zh

# 4. Output saved to: {project_root}/acestep_output/<filename>.lrc

Prerequisites

  • curl, jq, python3 (or python)
  • An API key for OpenAI or ElevenLabs

Script Usage

./scripts/acestep-lyrics-transcription.sh transcribe --audio <file> [options]

Options:
  -a, --audio      Audio file path (required)
  -l, --language   Language code (zh, en, ja, etc.)
  -f, --format     Output format: lrc, srt, json (default: lrc)
  -p, --provider   API provider: openai, elevenlabs (overrides config)
  -o, --output     Output file path (default: acestep_output/<filename>.lrc)

Post-Transcription Lyrics Correction (MANDATORY)

CRITICAL: After transcription, you MUST manually correct the LRC file before using it for MV rendering. Transcription models frequently produce errors on sung lyrics:

  • Proper nouns: "ACE-Step" → "AC step", "Spotify" → "spot a fly"
  • Similar-sounding words: "arrives" → "eyes", "open source" → "open sores"
  • Merged/split words: "lighting up" → "lightin' nup"

Correction Workflow

  1. Read the transcribed LRC file using the Read tool
  2. Read the original lyrics from the ACE-Step output JSON file
  3. Use original lyrics as a whole reference: Do NOT attempt line-by-line alignment — transcription often splits, merges, or reorders lines differently from the original. Instead, read the original lyrics in full to understand the correct wording, then scan each LRC line and fix any misrecognized words based on your knowledge of what the original lyrics say.
  4. Fix transcription errors: Replace misrecognized words with the correct original words, keeping the timestamps intact
  5. Write the corrected LRC back using the Write tool

What to Correct

  • Replace misrecognized words with their correct original versions
  • Keep all [MM:SS.cc] timestamps exactly as-is (timestamps from transcription are accurate)
  • Do NOT add structure tags like [Verse] or [Chorus] — the LRC should only have timestamped text lines

Example

Transcribed (wrong):

[00:46.96]AC step alive,
[00:50.80]one point five eyes.

Original lyrics reference:

ACE-Step alive
One point five arrives

Corrected (right):

[00:46.96]ACE-Step alive,
[00:50.80]One point five arrives.

Configuration

Config file: scripts/config.json

# Switch provider
./scripts/acestep-lyrics-transcription.sh config --set provider openai
./scripts/acestep-lyrics-transcription.sh config --set provider elevenlabs

# Set API keys
./scripts/acestep-lyrics-transcription.sh config --set openai.api_key sk-...
./scripts/acestep-lyrics-transcription.sh config --set elevenlabs.api_key ...

# View config
./scripts/acestep-lyrics-transcription.sh config --list
OptionDefaultDescription
provideropenaiActive provider: openai or elevenlabs
output_formatlrcDefault output: lrc, srt, or json
openai.api_key""OpenAI API key
openai.api_urlhttps://api.openai.com/v1OpenAI API base URL
openai.modelwhisper-1OpenAI model (whisper-1 for word timestamps)
elevenlabs.api_key""ElevenLabs API key
elevenlabs.api_urlhttps://api.elevenlabs.io/v1ElevenLabs API base URL
elevenlabs.modelscribe_v2ElevenLabs model

Provider Notes

ProviderModelWord TimestampsPricing
OpenAIwhisper-1Yes (segment + word)$0.006/min
ElevenLabsscribe_v2Yes (word-level)Varies by plan
  • OpenAI whisper-1 is the only OpenAI model supporting word-level timestamps
  • ElevenLabs scribe_v2 returns word-level timestamps with type filtering
  • Both support multilingual transcription

Examples

# Basic transcription (uses config defaults)
./scripts/acestep-lyrics-transcription.sh transcribe --audio song.mp3

# Chinese song to LRC
./scripts/acestep-lyrics-transcription.sh transcribe --audio song.mp3 --language zh

# Use ElevenLabs, output SRT
./scripts/acestep-lyrics-transcription.sh transcribe --audio song.mp3 --provider elevenlabs --format srt

# Custom output path
./scripts/acestep-lyrics-transcription.sh transcribe --audio song.mp3 --output ./my_lyrics.lrc

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