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
Developer(s)Daniel Povey and others
Stable release
Revision 3122 / October 2013 (2013-10)
Repositoryhttps://github.com/kaldi-asr/kaldi
Written inC++
Operating systemUnix systems (GNU/Linux, BSD, OSX 10.{8,9} etc.), Windows (via Cygwin)
TypeSpeech recognition
LicenseApache License v.2.0[1]
Websitekaldi-asr.org

Kaldi aims to provide software that is flexible and extensible,[2] and is intended for use by 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.[3]

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 CHiME Speech Separation and Recognition Challenge over several successive events.[4][5][6] The software was initially developed as part of a 2009 workshop at Johns Hopkins University.[7]

Kaldi is named after the legendary Ethiopian goat herder Kaldi who was said to have discovered the coffee plant.[8]

See also

References
  1. "Kaldi: Legal stuff". kaldi-asr.org.
  2. "Kaldi: About the Kaldi project". kaldi-asr.org.
  3. "Kaldi: Deep Neural Networks in Kaldi". kaldi-asr.org.
  4. "The 4th CHiME Speech Separation and Recognition Challenge". Retrieved 15 February 2017.
  5. "The 3rd CHiME Speech Separation and Recognition Challenge". Retrieved 15 February 2017.
  6. Emmanuel Vincent, Jon Barker, Shinji Watanabe, Jonathan Le Roux, Francesco Nesta, et al.. The second 'CHiME' Speech Separation and Recognition Challenge: Datasets, tasks and baselines. ICASSP - 38th International Conference on Acoustics, Speech, and Signal Processing - 2013, May 2013, Vancouver, Canada. pp.126-130, 2013.
  7. "History of the Kaldi project". Retrieved 26 July 2017.
  8. https://kaldi-asr.org/doc/about.html


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