--- title: "espeak-ng vs Fun-ASR" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/espeak-ng-espeak-ng-vs-funaudiollm-fun-asr" tools: ["espeak-ng-espeak-ng", "funaudiollm-fun-asr"] --- # espeak-ng vs Fun-ASR *GraphCanon updated Jul 30, 2026* ## Verdict Pick espeak-ng if eSpeak NG: Free text-to-speech engine with over a hundred languages and accents in C under GPL-3.0; pick Fun-ASR if fun-ASR is a real-time speech recognition tool supporting 31 languages with capabilities for handling dialects, accents, and speaker diarization. [espeak-ng](https://github.com/espeak-ng/espeak-ng) reports 6.7k GitHub stars, 1.3k forks, and 594 open issues, last pushed Jul 27, 2026. [Fun-ASR](https://huggingface.co/spaces/FunAudioLLM/Fun-ASR-Nano) has 1.4k stars, 141 forks, and 0 open issues, last pushed Jul 24, 2026. Figures are from public GitHub metadata via [espeak-ng's repository](https://github.com/espeak-ng/espeak-ng) and [Fun-ASR's repository](https://github.com/FunAudioLLM/Fun-ASR). | | [espeak-ng](/tools/espeak-ng-espeak-ng.md) | [Fun-ASR](/tools/funaudiollm-fun-asr.md) | | --- | --- | --- | | Tagline | Open source speech synthesizer supporting more than hundred languages and accents | Fun-ASR-Nano LLM-ASR model supports 31 languages for real-time speech recognition tasks | | Stars | 6,688 | 1,449 | | Forks | 1,263 | 141 | | Open issues | 594 | 0 | | Language | C | C | | Adopt for | eSpeak NG: Free text-to-speech engine with over a hundred languages and accents in C under GPL-3.0 | Fun-ASR is a real-time speech recognition tool supporting 31 languages with capabilities for handling dialects, accents, and speaker diarization. | | Persona | - | - | | Runtime | - | - | | License | GPL-3.0 | Apache-2.0 | | Categories | Speech & Audio | LLM Frameworks, Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [espeak-ng](/tools/espeak-ng-espeak-ng.md) | [Fun-ASR](/tools/funaudiollm-fun-asr.md) | | --- | --- | --- | | Days since push | 1d | 6d | | Open issues (now) | 594 | 0 | | Full report | [trust report](/tools/espeak-ng-espeak-ng/trust.md) | [trust report](/tools/funaudiollm-fun-asr/trust.md) | ## Decision facts: espeak-ng - **Adopt for:** eSpeak NG: Free text-to-speech engine with over a hundred languages and accents in C under GPL-3.0 ## Decision facts: Fun-ASR - **Pricing:** freemium - Open source under Apache License 2.0 allows free use with attribution and adherence to the license terms. - **Requirements:** Installation requires Python packages `funasr` version >=1.3.3, and `vllm` version >=0.12.0. - **Adopt for:** Fun-ASR is a real-time speech recognition tool supporting 31 languages with capabilities for handling dialects, accents, and speaker diarization. - **License detail:** Apache-2.0 ## Choose when ### Choose espeak-ng if… - License: espeak-ng is GPL-3.0, Fun-ASR is Apache-2.0. - Tags unique to espeak-ng: android, espeak, espeak-ng, speech-synthesis. - When multilingual support across over a hundred languages is required. ### Choose Fun-ASR if… - License: Fun-ASR is Apache-2.0, espeak-ng is GPL-3.0. - Pricing: Open source under Apache License 2.0 allows free use with attribution and adherence to the license terms.. - Requirements: Installation requires Python packages `funasr` version >=1.3.3, and `vllm` version >=0.12.0.. - Tags unique to Fun-ASR: asr, audio-language-model, multilingual-asr, real-time-asr. - Also covers LLM Frameworks. - When you need support for 31 different languages including handling of various dialects and accents. ## When NOT to use espeak-ng - Avoid if proprietary software development prohibits use of GPL-3.0 licensed tools. - Not ideal if fine-grain control and quality over diverse accents are more important than extensive language coverage. ## When NOT to use Fun-ASR - Avoid if your project requires a specific programming language other than C as Fun-ASR is primarily developed in C. - If you do not require on-device processing, as this tool is designed for on-device inference which may limit scalability for cloud-based applications. ## Common questions ### What is the difference between espeak-ng and Fun-ASR? espeak-ng: Open source speech synthesizer supporting more than hundred languages and accents. Fun-ASR: Fun-ASR-Nano LLM-ASR model supports 31 languages for real-time speech recognition tasks. See the comparison table for live GitHub stats and shared categories. ### When should I choose espeak-ng over Fun-ASR? Choose espeak-ng over Fun-ASR when License: espeak-ng is GPL-3.0, Fun-ASR is Apache-2.0; Tags unique to espeak-ng: android, espeak, espeak-ng, speech-synthesis; When multilingual support across over a hundred languages is required. ### When should I choose Fun-ASR over espeak-ng? Choose Fun-ASR over espeak-ng when License: Fun-ASR is Apache-2.0, espeak-ng is GPL-3.0; Pricing: Open source under Apache License 2.0 allows free use with attribution and adherence to the license terms.; Requirements: Installation requires Python packages `funasr` version >=1.3.3, and `vllm` version >=0.12.0.; Tags unique to Fun-ASR: asr, audio-language-model, multilingual-asr, real-time-asr; Also covers LLM Frameworks; When you need support for 31 different languages including handling of various dialects and accents. ### When should I avoid espeak-ng? Avoid if proprietary software development prohibits use of GPL-3.0 licensed tools. Not ideal if fine-grain control and quality over diverse accents are more important than extensive language coverage. ### When should I avoid Fun-ASR? Avoid if your project requires a specific programming language other than C as Fun-ASR is primarily developed in C. If you do not require on-device processing, as this tool is designed for on-device inference which may limit scalability for cloud-based applications. ### Is espeak-ng or Fun-ASR more popular on GitHub? espeak-ng has more GitHub stars (6,688 vs 1,449). Stars measure visibility, not whether either tool fits your constraints. ### Are espeak-ng and Fun-ASR open source? Yes - both are open-source projects on GitHub (espeak-ng: GPL-3.0, Fun-ASR: Apache-2.0). ### Where can I find alternatives to espeak-ng or Fun-ASR? GraphCanon lists graph-backed alternatives at [espeak-ng alternatives](/tools/espeak-ng-espeak-ng/alternatives) and [Fun-ASR alternatives](/tools/funaudiollm-fun-asr/alternatives) ([espeak-ng markdown twin](/tools/espeak-ng-espeak-ng/alternatives.md), [Fun-ASR markdown twin](/tools/funaudiollm-fun-asr/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/espeak-ng-espeak-ng-vs-funaudiollm-fun-asr.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, espeak-ng or Fun-ASR? espeak-ng: Very active. Fun-ASR: Very active. 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 espeak-ng and Fun-ASR? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [espeak-ng trust report](/tools/espeak-ng-espeak-ng/trust); [Fun-ASR trust report](/tools/funaudiollm-fun-asr/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=espeak-ng-espeak-ng`](/api/graphcanon/graph?tool=espeak-ng-espeak-ng) - 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/_