--- title: "kaldi vs BELLE" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/kaldi-asr-kaldi-vs-lianjiatech-belle" tools: ["kaldi-asr-kaldi", "lianjiatech-belle"] --- # kaldi vs BELLE *GraphCanon updated Sep 20, 2026* ## Verdict Pick kaldi if kaldi stands out among speech recognition toolkits with its comprehensive C++ libraries and strong community support for contributors; pick BELLE if bELLE is an open-source Chinese dialogue large model project that focuses on making high-quality instruction-following language models accessible to everyone. It provides instruction training data, models, training code,. [kaldi](http://kaldi-asr.org) reports 15k GitHub stars, 5.4k forks, and 262 open issues, last pushed Sep 22, 2025. [BELLE](https://github.com/LianjiaTech/BELLE) has 8.3k stars, 755 forks, and 106 open issues, last pushed Oct 16, 2024. Figures are from public GitHub metadata via [kaldi's repository](https://github.com/kaldi-asr/kaldi) and [BELLE's repository](https://github.com/LianjiaTech/BELLE). | | [kaldi](/tools/kaldi-asr-kaldi.md) | [BELLE](/tools/lianjiatech-belle.md) | | --- | --- | --- | | Tagline | Kaldi Speech Recognition Toolkit | Open-source Chinese dialogue large model | | Stars | 15,488 | 8,270 | | Forks | 5,359 | 755 | | Open issues | 262 | 106 | | Language | Shell | HTML | | Adopt for | Kaldi stands out among speech recognition toolkits with its comprehensive C++ libraries and strong community support for contributors. | BELLE is an open-source Chinese dialogue large model project that focuses on making high-quality instruction-following language models accessible to everyone. It provides instruction training data, models, training code, | | Persona | - | - | | Runtime | - | - | | License | Other | BELLE is licensed under Apache-2.0, allowing for free use, modification, and distribution. | | Categories | Speech & Audio | Computer Vision, Evaluation & Observability, LLM Frameworks, Model Training, Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [kaldi](/tools/kaldi-asr-kaldi.md) | [BELLE](/tools/lianjiatech-belle.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Dormant (18%) | | Days since push | 363d | 701d | | Open issues (now) | 262 | 106 | | Stars delta | +46 (30d) | -10 (30d) | | Open issues delta | +2 (30d) | 0 (30d) | | Full report | [trust report](/tools/kaldi-asr-kaldi/trust.md) | [trust report](/tools/lianjiatech-belle/trust.md) | ## Decision facts: kaldi - **Adopt for:** Kaldi stands out among speech recognition toolkits with its comprehensive C++ libraries and strong community support for contributors. ## Decision facts: BELLE - **Requirements:** Min 8 GB RAM; Requires Docker; BELLE requires Docker for running the environment.; Ensure you have sufficient computational resources for training and inference. - **Adopt for:** BELLE is an open-source Chinese dialogue large model project that focuses on making high-quality instruction-following language models accessible to everyone. It provides instruction training data, models, training code, - **License detail:** BELLE is licensed under Apache-2.0, allowing for free use, modification, and distribution. ## Choose when ### Choose kaldi if… - kaldi is primarily Shell; BELLE is HTML. - License: kaldi is Other, BELLE is Apache-2.0. - Tags unique to kaldi: c-plus-plus, cuda, speaker-id, speaker-verification. - For developers preferring a deep customization of speech recognition algorithms in C++ ### Choose BELLE if… - BELLE is primarily HTML; kaldi is Shell. - License: BELLE is Apache-2.0, kaldi is Other. - Requirements: Min 8 GB RAM; Requires Docker; BELLE requires Docker for running the environment.; Ensure you have sufficient computational resources for training and inference.. - Tags unique to BELLE: bloom, chinese-nlp, gpt-evaluation, gpt-q. - Also covers Computer Vision, Evaluation & Observability, LLM Frameworks, Model Training. - Use BELLE when you need a Chinese-specific large language model that has been optimized for instruction-following tasks. ## When NOT to use kaldi - If you require extensive pre-built support and documentation for non-UNIX systems like Windows outside Cygwin environment - For users seeking a purely Python-based ecosystem for developing speech recognition applications without the need to compile C++ code ## When NOT to use BELLE - Avoid BELLE if your project requires a language model that is not focused on Chinese, as it is specifically optimized for the Chinese language. - Do not use BELLE if you need a model that is trained on a diverse set of data beyond Chinese dialogue, as it primarily uses data generated by ChatGPT. - BELLE may not be suitable if you require a model that has not been fine-tuned on high-quality dialogue data, as it emphasizes instruction-following capabilities. ## Common questions ### What is the difference between kaldi and BELLE? kaldi: Kaldi Speech Recognition Toolkit. BELLE: Open-source Chinese dialogue large model. See the comparison table for live GitHub stats and shared categories. ### When should I choose kaldi over BELLE? Choose kaldi over BELLE when kaldi is primarily Shell; BELLE is HTML; License: kaldi is Other, BELLE is Apache-2.0; Tags unique to kaldi: c-plus-plus, cuda, speaker-id, speaker-verification; For developers preferring a deep customization of speech recognition algorithms in C++. ### When should I choose BELLE over kaldi? Choose BELLE over kaldi when BELLE is primarily HTML; kaldi is Shell; License: BELLE is Apache-2.0, kaldi is Other; Requirements: Min 8 GB RAM; Requires Docker; BELLE requires Docker for running the environment.; Ensure you have sufficient computational resources for training and inference.; Tags unique to BELLE: bloom, chinese-nlp, gpt-evaluation, gpt-q; Also covers Computer Vision, Evaluation & Observability, LLM Frameworks, Model Training; Use BELLE when you need a Chinese-specific large language model that has been optimized for instruction-following tasks. ### When should I avoid kaldi? If you require extensive pre-built support and documentation for non-UNIX systems like Windows outside Cygwin environment For users seeking a purely Python-based ecosystem for developing speech recognition applications without the need to compile C++ code ### When should I avoid BELLE? Avoid BELLE if your project requires a language model that is not focused on Chinese, as it is specifically optimized for the Chinese language. Do not use BELLE if you need a model that is trained on a diverse set of data beyond Chinese dialogue, as it primarily uses data generated by ChatGPT. BELLE may not be suitable if you require a model that has not been fine-tuned on high-quality dialogue data, as it emphasizes instruction-following capabilities. ### Is kaldi or BELLE more popular on GitHub? kaldi has more GitHub stars (15,488 vs 8,270). Stars measure visibility, not whether either tool fits your constraints. ### Are kaldi and BELLE open source? Yes - both are open-source projects on GitHub (kaldi: Other, BELLE: Apache-2.0). ### Where can I find alternatives to kaldi or BELLE? GraphCanon lists graph-backed alternatives at [kaldi alternatives](/tools/kaldi-asr-kaldi/alternatives) and [BELLE alternatives](/tools/lianjiatech-belle/alternatives) ([kaldi markdown twin](/tools/kaldi-asr-kaldi/alternatives.md), [BELLE markdown twin](/tools/lianjiatech-belle/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/kaldi-asr-kaldi-vs-lianjiatech-belle.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, kaldi or BELLE? kaldi: Slowing. BELLE: Dormant. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for kaldi and BELLE? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [kaldi trust report](/tools/kaldi-asr-kaldi/trust); [BELLE trust report](/tools/lianjiatech-belle/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=kaldi-asr-kaldi`](/api/graphcanon/graph?tool=kaldi-asr-kaldi) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_