How to use WhisperX in Google Colab (2025)
WhisperX is an advanced speech-recognition pipeline built on top of Whisper, OpenAI's open-source ASR model. It runs on PyTorch, and while it can operate on a CPU, performance is significantly enhanced with a CUDA-compatible GPU (i.e., NVIDIA). WhisperX improves upon the original model with more accurate and faster alignment, support for larger models, and optional speaker diarization. The result is high-quality transcriptions with precise word-level timestamps and clear speaker identification, and it claims to be up to 70x faster than the original model.
My laptop doesn't have a GPU with CUDA support, so I run WhisperX on Google Colab, and this is a short tutorial on how I set it up and use it in this cloud environment.
