- Published
- 2024-01-01
- Venue
- Infoscience (Ecole Polytechnique Fédérale de Lausanne)
- Cited by
- 5,309
- Open access
- Yes, green
- DOI
- 10.57702/jb3fvbn9
Abstract
We describe the design of Kaldi, a free, open-source toolkit for speech recognition research. Kaldi provides a speech recognition system based on finite-state transducers (using the freely available OpenFst), together with detailed documentation and scripts for building complete recognition systems. Kaldi is written is C++, and the core library supports modeling of arbitrary phonetic-context sizes, acoustic modeling with subspace Gaussian mixture models (SGMM) as well as standard Gaussian mixture models, together with all commonly used linear and affine transforms. Kaldi is released under the Apache License v2.0, which is highly nonrestrictive, making it suitable for a wide community of users. I.
Cite this paper
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- APA 7
Povey, D. (2024). Kaldi Speech Recognition Toolkit. Infoscience (Ecole Polytechnique Fédérale de Lausanne). https://doi.org/10.57702/jb3fvbn9
- MLA 9
Povey, Daniel. "Kaldi Speech Recognition Toolkit." Infoscience (Ecole Polytechnique Fédérale de Lausanne), 2024, https://doi.org/10.57702/jb3fvbn9.
- Chicago
Povey, Daniel. "Kaldi Speech Recognition Toolkit." Infoscience (Ecole Polytechnique Fédérale de Lausanne) (2024). https://doi.org/10.57702/jb3fvbn9.
- GOST
Povey D. Kaldi Speech Recognition Toolkit // Infoscience (Ecole Polytechnique Fédérale de Lausanne). — 2024. — URL: https://doi.org/10.57702/jb3fvbn9
- BibTeX
@article{povey2024kaldi, title = {{Kaldi Speech Recognition Toolkit}}, author = {Daniel Povey}, journal = {Infoscience (Ecole Polytechnique Fédérale de Lausanne)}, year = {2024}, doi = {10.57702/jb3fvbn9}, url = {https://doi.org/10.57702/jb3fvbn9} }- RIS
TY - JOUR AU - Povey, Daniel TI - Kaldi Speech Recognition Toolkit JO - Infoscience (Ecole Polytechnique Fédérale de Lausanne) PY - 2024 DA - 2024/01/01 DO - 10.57702/jb3fvbn9 UR - https://doi.org/10.57702/jb3fvbn9 ER -