Developed and Enhanced Audio Diarization Scripts

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📅 2025-08-05 — Session: Developed and Enhanced Audio Diarization Scripts

🕒 01:45–03:00
🏷️ Labels: Python, Diarization, RTTM, Audio Processing, Error Handling
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The session aimed to develop and enhance scripts for audio diarization and transcription, focusing on generating and utilizing RTTM files for speaker diarization using Python and related libraries.

Key Activities

  • Created Python scripts for processing audio files (.wav, .m4a, .webm) to perform diarization and transcription using the Whisper model.
  • Implemented scripts to convert non-.wav audio formats to .wav using ffmpeg for further processing.
  • Developed a script generate_rttm.py using the pyannote.audio library to generate RTTM files from WAV files.
  • Enhanced error handling in the RTTM generation scripts to ensure smooth execution and clear error messages.
  • Provided commands for cleaning caches on Linux systems to free up disk space.

Achievements

  • Successfully developed and tested scripts for audio diarization and transcription, allowing for batch processing and error handling.
  • Improved the workflow for generating RTTM files, ensuring compatibility with various audio formats.

Pending Tasks

  • Further testing and optimization of the diarization scripts to handle larger datasets efficiently.
  • Integration of the developed scripts into a larger audio processing pipeline for automated workflows.

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