Kaldi Overview

The NVIDIA Deep Learning SDK accelerates widely-used deep learning frameworks such as Kaldi.

The Kaldi Speech Recognition Toolkit project began in 2009 at Johns Hopkins University with the intent of developing techniques to reduce both the cost and time required to build speech recognition systems. While originally focused on ASR support for new languages and domains, the Kaldi project has steadily grown in size and capabilities, enabling hundreds of researchers to participate in advancing the field. Now the de-facto speech recognition toolkit in the community, Kaldi helps to enable speech services used by millions of people every day.

See /workspace/README.md inside the container for information on customizing your Kaldi image. For more information about Kaldi, including tutorials, documentation, and examples, see Kaldi Speech Recognition Toolkit.

This document describes the key features, software enhancements and improvements, any known issues, and how to run this container.