Kaldi (software)
In the following article, we will explore the fascinating world of Kaldi (software). From its impact on society to its multiple applications in different areas, Kaldi (software) has captured the attention of people of all ages and interests. We will delve into its history, analyze its relevance today, and discuss possible future prospects. Additionally, we will closely examine the benefits and challenges that Kaldi (software) presents, offering a complete and balanced view of this exciting topic. Join us on this journey to discover everything Kaldi (software) has to offer.
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| Kaldi | |
|---|---|
| Developers | Daniel Povey and others |
| Stable release | 5.5.636
/ February 2020 |
| Repository | https://github.com/kaldi-asr/kaldi |
| Written in | C++ |
| Operating system | Unix systems (Linux, BSD, OSX 10.{8,9} etc.), Windows (via Cygwin) |
| Type | Speech recognition |
| License | Apache License v.2.0[1] |
| Website | kaldi-asr |
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
- ^ "Kaldi: Legal stuff". kaldi-asr.org.
- ^ "Kaldi: About the Kaldi project". kaldi-asr.org.
- ^ "Kaldi: Deep Neural Networks in Kaldi". kaldi-asr.org.
- ^ "The 4th CHiME Speech Separation and Recognition Challenge". Archived from the original on 16 February 2017. Retrieved 15 February 2017.
- ^ "The 3rd CHiME Speech Separation and Recognition Challenge". Archived from the original on 26 July 2017. Retrieved 15 February 2017.
- ^ 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.
- ^ "History of the Kaldi project". Retrieved 26 July 2017.
- ^ "Kaldi: About the Kaldi project".
External links
- Official website
- Kaldi – The official GitHub project
- Kaldi paper - The Kaldi Speech Recognition Toolkit
- VOSK – open source and commercial models from Alpha Cephei on Kaldi foundations
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