Knowledge/chat-topics/conversation-email-to-audio-process.md

Conversation Checkpoint: Email-to-Audio Conversion Workflow

Summary

Michael requested a workflow to convert a specific email from Peter H. Diamandis ("Robotaxies & Flying Cars Will Reinvent Real Estate") into an audio format using a specific voice model ("norman") and adjusted speeds.

Workflow Details

1. Source: Email ID 10824 from Peter H. Diamandis via Himalaya.
2. Text Extraction: Content was saved to /home/openclaw/.openclaw/workspace/temp_stuff/diamandis_text.txt.
3. TTS Conversion:
   • Script created: tts_flexible.py in /home/openclaw/.openclaw/workspace/projects/local-tts/.
   • Tool used: piper-tts.
   • Voice Model: norman (onnx).
   • Speed Adjustment: Implemented via --speed argument (length_scale manipulation).
4. Audio Processing: FFmpeg used to convert .wav output to .mp3 (44100Hz, stereo, 192k bitrate).
5. Upload: Uploaded to Nextcloud via WebDAV (curl) to the /Bernard/ directory.

Current Files

• Text: /home/openclaw/.openclaw/workspace/temp_stuff/diamandis_text.txt
• Audio (0.8 speed): diamandis_audio.mp3 (Nextcloud: /Bernard/diamandis_audio.mp3)
• Audio (0.9 speed): diamandis_audio_0_9.mp3 (Nextcloud: /Bernard/diamandis_audio_0_9.mp3)
• Tooling: /home/openclaw/.openclaw/workspace/projects/local-tts/tts_flexible.py

Future Re-use

This workflow can be repeated for any email text. Simply extract the text, run tts_flexible.py with desired parameters, encode with FFmpeg, and upload using the verified WebDAV method.