acestep-lyrics-transcription

What This Skill Does

The acestep-lyrics-transcription skill is a specialized OpenClaw tool designed to convert audio files into highly accurate, timestamped lyric files. It leverages industry-leading speech-to-text models—OpenAI Whisper and ElevenLabs Scribe—to capture song lyrics while maintaining perfect synchronization with the audio timeline. The skill supports multiple output formats including LRC (the standard for synchronized lyrics), SRT (subtitle files), and JSON (for granular word-level timing data). By automating the transcription process, it bridges the gap between raw audio files and readable, timed lyrical text, making it an essential utility for audio engineers, content creators, and music enthusiasts.

Installation

To integrate this skill into your environment, use the OpenClaw command-line interface. Run the following command in your terminal: clawhub install openclaw/skills/skills/dumoedss/acestep-lyrics-transcription Once installed, ensure you navigate to the skill directory as specified in the configuration steps to perform your initial setup. You must verify that an API key for either OpenAI or ElevenLabs is configured using the included script commands before attempting any transcription tasks.

Use Cases

This skill is ideal for several creative and technical scenarios:

1. Karaoke Preparation: Convert music tracks into high-quality .lrc files for karaoke systems or streaming platforms.
2. Music Video Creation: Generate .srt files to display synchronized lyrics as subtitles in video editing software.
3. Linguistic Analysis: Export transcription data in JSON format to study word-level timing and pacing in vocal performances.
4. Archive Digitization: Convert archival music recordings into accessible, searchable text formats.

Example Prompts

1. "Please transcribe the audio file located at /music/tracks/song_01.mp3 into an LRC file. Use the OpenAI provider."
2. "I need to generate a subtitle file for this interview audio: /home/user/podcast.wav. Can you output it as an SRT file?"
3. "Transcribe my latest demo track /audio/demo.mp3 and provide word-level timestamps in JSON format."

Tips & Limitations

• API Costs: Be aware that using paid APIs like OpenAI Whisper will incur small per-minute usage costs on your connected account. Monitor your billing thresholds.
• Audio Quality: Transcription accuracy is highly dependent on the clarity of the audio. Noisy environments or overlapping vocals may lead to inaccuracies.
• Language Support: Ensure you specify the correct language code (e.g., 'en', 'zh', 'ja') during the transcription command to optimize the model's performance for your specific input audio.
• Security: Always use the built-in configuration tools. Never manually edit configuration files with plain-text keys to ensure your credentials remain protected.