πŸ“… 2023-05-01 β€” Session: Resolved Matplotlib and Audio Processing Issues

πŸ•’ 20:10–20:35
🏷️ Labels: Python, Matplotlib, Audio Processing, Speech Recognition, Ffmpeg
πŸ“‚ Project: Dev
⭐ Priority: MEDIUM

Session Goal

The primary aim of this session was to address technical issues related to Python libraries, specifically focusing on Matplotlib errors and audio processing for speech recognition.

Key Activities

  • Matplotlib Troubleshooting: Resolved errors related to the pyplot module by reinstalling the package and using the agg backend.
  • Speech Recognition Code: Developed a Python program utilizing the SpeechRecognition library to transcribe audio files into text.
  • Audio Conversion: Engaged in converting audio files to WAV format using the pydub library and FFmpeg.
  • FFmpeg Installation: Installed FFmpeg to facilitate audio format conversion, ensuring the system’s PATH variable was updated.
  • Google Speech Recognition API: Implemented a Python script to utilize Google’s API for audio transcription and addressed UnknownValueError by improving audio quality.

Achievements

  • Successfully resolved Matplotlib pyplot import errors.
  • Completed a Python script for converting and transcribing audio files.
  • Installed FFmpeg and updated system configurations for audio processing.
  • Enhanced audio quality for better transcription results using Google’s API.

Pending Tasks

  • Further exploration of audio format conversion techniques to optimize processing speed and accuracy.
  • Continuous monitoring and troubleshooting of potential errors in speech recognition tasks.