This paper introduces and demonstrates Kaldi integration into Bob signal-processing and machine learning toolbox. The motivation for this integration is two-fold. Firstly, Bob benefits from using advanced speech processing tools developed in Kaldi. Secondly, Kaldi benefits from using complementary Bob modules, such as modulation-based VAD with an adaptive thresholding. In addition, Bob is designed as an open science tool, and this integration might offer to the Kaldi speech community a framework for better reproducibility of state-of-the-art research results.