Kaldi provides a toolkit for speech recognition. It enables building automatic speech recognition systems. The toolkit supports neural networks, HMMs, GMMs, and hybrid ASR methods. Users handle data preparation, feature extraction, acoustic and language modeling, decoding, and evaluation. Code resides at GitHub for checkout or download. Model builds appear under a models section. The project targets speech recognition researchers and professionals with its C++ implementation under Apache License v2.0. Documentation covers grammars, graphs, finite state transducer algorithms, and decoders.
Highly flexible and extensible for research and custom experiments
Actively used in academia and industry for speech research and deployment
Large community with extensive examples, recipes, and documentation
Requires manual installation from GitHub source
Depends on external tools like SRILM for language modeling
Shows age with needs for major revisions like integration to other frameworks
Pricing yet to be updated!
Clients yet to be updated!
| Logo | Software Name | Rating | Reviews | Starting Price | Trial |
|---|---|---|---|---|---|
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Simon | 4.1 | 30 | 0 USD ($) | 1-7 Days |
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iSpeech Translator | 3.9 | 36 | 0 USD ($) | 0 Days |
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Julius | 3.9 | 36 | 0 USD ($) | 1-7 Days |
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Voice Report | 3.9 | 120 | 0 USD ($) | 0 Days |
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Murf Voiceover | 3.8 | 36 | 0 USD ($) | 1-7 Days |
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