能否在Google Colab安装Kaldi？科研使用及安装后文件位置问询

Hey there! I’ve worked with Kaldi on Google Colab quite a bit, so I can walk you through this easily.

Absolutely! Google Colab runs a Linux-based environment, which is fully compatible with Kaldi. Here’s a straightforward step-by-step setup guide:

• First, install all required system dependencies. Run this in a Colab code cell:

  !apt-get update
  !apt-get install -y build-essential cmake git libatlas-base-dev libboost-all-dev libgflags-dev libgoogle-glog-dev libhdf5-serial-dev libleveldb-dev liblmdb-dev libopencv-dev libprotobuf-dev libsnappy-dev protobuf-compiler python3-dev python3-pip
  

• Next, clone the Kaldi repository to your Colab workspace:

  !git clone https://github.com/kaldi-asr/kaldi.git /content/kaldi --depth 1
  

• Navigate to the tools directory and build Kaldi's helper tools:

  %cd /content/kaldi/tools
  !make -j$(nproc)
  

• Finally, move to the src directory and compile Kaldi's core modules:

  %cd /content/kaldi/src
  !./configure --use-cuda=no  # Omit "--use-cuda=no" if you want GPU acceleration (make sure your runtime is set to GPU first!)
  !make -j$(nproc)
  

A quick tip: If you want GPU support, switch your Colab runtime to GPU first (go to Runtime > Change runtime type > Hardware accelerator > GPU) before running the configure command without the --use-cuda=no flag.

Once compilation finishes, all Kaldi files live in the /content/kaldi directory (we specified this path when cloning the repo). Here’s a breakdown of key subdirectories you’ll interact with:

• src: Holds the core source code and compiled binaries (check the bin/, featbin/, and gmmbin/ folders for the tools you’ll use for ASR tasks).
• tools: Contains dependencies like OpenFST and other helper utilities Kaldi relies on.
• egs: This is where you’ll find pre-built example recipes for popular ASR datasets (like LibriSpeech or TED-LIUM). These recipes are perfect for learning to build your own ASR pipeline.
• data: If you follow the example recipes, this is where you’ll store your audio datasets and related metadata files.

You can browse these files using the file explorer on the left side of the Colab interface—just expand the kaldi folder under /content.

内容的提问来源于stack exchange，提问作者Maher