audio-transcribe

To transcribe OGG/Opus audio messages to text, this Skill uses the Whisper model to process the audio files. It automatically validates the input, converts the files to WAV format, and outputs the extracted text.

Converting quiet voice notes into readable text is handled by detecting low volume and automatically amplifying the audio before transcription. This ensures the Whisper model receives clear input for accurate speech-to-text results.

Yes, you need ffmpeg and python3 installed because they handle the underlying audio file conversion and script execution. These dependencies are required to validate audio and convert OGG/Opus files to WAV format for Whisper processing.

Yes, you can generate a spoken response after transcribing an audio file because the Skill supports optional text-to-speech replies. This feature can automatically produce a spoken confirmation of the transcribed text.

Audio transcription may fail on invalid OGG files if the input is corrupted or unrecognized. The Skill performs audio file validation before attempting volume adjustment and WAV conversion to prevent processing errors.