speech-recognition-with-python

Materials for "Speech Recognition with Python" lecture at PyConPL 2023 conference.

Materials include application examples of the following tools:

• SpeechRecognition (Python module supporting several speech-to-text engines and APIs)
• AssemblyAI (API)
• OpenAI's Whisper (speech-to-text model)
• Transformers (pretrained speech-to-text models)

Instructions for running a workshop using Google Colab

1. Go to speech_recognition_with_python.ipynb and click on Open in Colab button on top of the notebook.
2. Copy .wav files from audio_filesdirectory or Google Drive folder into your personal Google Drive. Suggested path of the directory with the audio files is: Colab Notebooks/speech_recognition_with_python. Note: If you will be storing these files in a different location, be sure to change the PATH constant in the notebook.
3. Mount your Google Drive to your Google Colab notebook.
4. And... that's all! 🥳 Have a great learning experience!

Please note: To use AssemblyAI you need to create your own account on https://www.assemblyai.com/. After creating your account, you will receive an AssemblyAI API Key, which you need to copy into notebook (change the value of ASSEMBLY_AI_API_KEY constant in the notebook).