qwen-asr
SolidTranscribe audio files using Qwen ASR. Use when the user sends voice messages and wants them converted to text.
Install
Quality Score: 80/100
Skill Content
Details
- Author
- aahl
- Repository
- aahl/skills
- Created
- 5 months ago
- Last Updated
- 1 weeks ago
- Language
- Python
- License
- MIT
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voice-transcribe
Transcribe voice messages and audio files using ffmpeg and OpenAI Whisper. Use whenever a Telegram voice message arrives (attachment_kind="voice", audio/ogg), when the user sends an audio file, asks to transcribe audio, or when you receive any .oga/.ogg/.mp3/.m4a/.wav file containing speech. Automatically triggers on inbound Telegram voice messages.
wjs-transcribing-audio
Use when the user has audio or video and wants a timestamped transcript (SRT) in the source language. Routes by source language — Chinese defaults to Volcano (豆包) ASR; other languages (Spanish, English, Portuguese, French, Italian, Japanese, Korean, etc.) use OpenAI Whisper API with word-level timestamps and self-assembled cues. Outputs SRT with punctuation-bounded cues capped for on-screen reading. Triggers — "转写", "转成字幕", "做 SRT", "transcribe", "make subtitles", "speech to text", "出字幕".
ai-provider-openai-whisper
Speech-to-text transcription and translation via OpenAI Audio API -- models, response formats, timestamps, prompting, streaming, chunking, and diarization