Kaldi (software)

Kaldi is an open-source speech recognition toolkit written in C++ for speech recognition and signal processing, freely available under the Apache License v2.0.
Kaldi aims to provide software that is flexible and extensible, and is intended for use by Automatic [speech recognition|automatic speech recognition (ASR)] researchers for building a recognition system.
It supports linear transforms, MMI, boosted MMI and MCE discriminative training, feature-space discriminative training, and deep neural networks.
Kaldi is capable of generating features like mfcc, fbank, fMLLR, etc. Hence in recent deep neural network research, a popular usage of Kaldi is to pre-process raw waveform into acoustic feature for end-to-end neural models.
Kaldi has been incorporated as part of the over several successive events. The software was initially developed as part of a 2009 workshop at Johns Hopkins University.
Kaldi is named after the legendary Ethiopian goat herder Kaldi who was said to have discovered the coffee plant.