Resolved Matplotlib and Enhanced Speech Recognition

2 min read

📅 2023-05-01 — Session: Resolved Matplotlib and Enhanced Speech Recognition

🕒 20:10–20:35
🏷️ Labels: Matplotlib, Speech Recognition, Python, Audio Processing, Ffmpeg
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The session aimed to resolve errors with the Matplotlib pyplot module and enhance audio processing capabilities for speech recognition in Python.

Key Activities

  • Matplotlib Troubleshooting: Addressed errors related to the pyplot module by reinstalling the package and using the agg backend. Also tackled import errors by specifying the correct version.
  • Speech Recognition Implementation: Developed a Python program for transcribing audio files using the SpeechRecognition library. This included converting audio files to WAV format with pydub and using Google’s Speech Recognition API.
  • FFmpeg Installation: Installed FFmpeg to facilitate audio format conversion, ensuring the system’s PATH variable was updated.
  • Audio Conversion: Converted MPGA files to WAV format using FFmpeg to resolve decoding issues.
  • Error Handling: Investigated the UnknownValueError in Google’s API and improved audio quality for better recognition results.

Achievements

  • Successfully resolved Matplotlib errors, enabling smooth data visualization workflows.
  • Implemented a robust audio processing pipeline for speech recognition, including format conversion and transcription.

Pending Tasks

  • Further testing of audio quality improvements for speech recognition accuracy.
  • Exploration of additional error handling mechanisms for speech recognition processes.

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