Software:Kaldi

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

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,[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". http://kaldi-asr.org/doc/legal.html. 
  2. "Kaldi: About the Kaldi project". http://kaldi-asr.org/doc/about.html. 
  3. "Kaldi: Deep Neural Networks in Kaldi". http://kaldi-asr.org/doc/dnn.html. 
  4. "The 4th CHiME Speech Separation and Recognition Challenge". http://spandh.dcs.shef.ac.uk/chime_challenge/software.html. Retrieved 15 February 2017. 
  5. "The 3rd CHiME Speech Separation and Recognition Challenge". http://spandh.dcs.shef.ac.uk/chime_challenge/chime2015/software.html. 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". http://kaldi-asr.org/doc/history.html. Retrieved 26 July 2017. 
  8. "Kaldi: About the Kaldi project". https://kaldi-asr.org/doc/about.html. 

External links