--- title: "espeak-ng vs ASRT_SpeechRecognition" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/espeak-ng-espeak-ng-vs-nl8590687-asrt-speechrecognition" tools: ["espeak-ng-espeak-ng", "nl8590687-asrt-speechrecognition"] --- # espeak-ng vs ASRT_SpeechRecognition *GraphCanon updated Jul 11, 2026* ## Verdict Pick espeak-ng when espeak-ng is primarily C; ASRT_SpeechRecognition is Python; pick ASRT_SpeechRecognition when aSRT_SpeechRecognition is primarily Python; espeak-ng is C. [espeak-ng](https://github.com/espeak-ng/espeak-ng) reports 6.6k GitHub stars, 1.3k forks, and 617 open issues, last pushed Jun 29, 2026. [ASRT_SpeechRecognition](https://www.ailemon.net/asrt) has 8.4k stars, 1.9k forks, and 115 open issues, last pushed Apr 10, 2026. Figures are from public GitHub metadata via [espeak-ng's repository](https://github.com/espeak-ng/espeak-ng) and [ASRT_SpeechRecognition's repository](https://github.com/nl8590687/ASRT_SpeechRecognition). | | [espeak-ng](/tools/espeak-ng-espeak-ng.md) | [ASRT_SpeechRecognition](/tools/nl8590687-asrt-speechrecognition.md) | | --- | --- | --- | | Tagline | eSpeak NG is an open source speech synthesizer that supports more than hundred languages and accents. | A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统 | | Stars | 6,634 | 8,372 | | Forks | 1,251 | 1,898 | | Open issues | 617 | 115 | | Language | C | Python | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | GPL-3.0 | GPL-3.0 | | Categories | Speech & Audio | Model Training, Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [espeak-ng](/tools/espeak-ng-espeak-ng.md) | [ASRT_SpeechRecognition](/tools/nl8590687-asrt-speechrecognition.md) | | --- | --- | --- | | Maintenance | Active (82%) | Slowing (36%) | | Days since push | 12d | 91d | | Open issues (now) | 617 | 115 | | Owner type | Organization | User | | Security scan | No lockfile | 74 low (74 low) | | Full report | [trust report](/tools/espeak-ng-espeak-ng/trust.md) | [trust report](/tools/nl8590687-asrt-speechrecognition/trust.md) | ## Choose when ### Choose espeak-ng if… - espeak-ng is primarily C; ASRT_SpeechRecognition is Python. - Tags unique to espeak-ng: android, c++, espeak, espeak-ng. - More recently updated (last pushed Jun 29, 2026). ### Choose ASRT_SpeechRecognition if… - ASRT_SpeechRecognition is primarily Python; espeak-ng is C. - Tags unique to ASRT_SpeechRecognition: asrt, chinese-speech-recognition, cnn, ctc. - Also covers Model Training. - ASRT_SpeechRecognition ships Docker support for self-hosted deployment. ## When NOT to use ASRT_SpeechRecognition - Last GitHub push was 92 days ago (slowing maintenance, Apr 10, 2026). Validate activity before betting a new project on ASRT_SpeechRecognition. - Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ## Common questions ### What is the difference between espeak-ng and ASRT_SpeechRecognition? espeak-ng: eSpeak NG is an open source speech synthesizer that supports more than hundred languages and accents.. ASRT_SpeechRecognition: A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统. See the comparison table for live GitHub stats and shared categories. ### When should I choose espeak-ng over ASRT_SpeechRecognition? Choose espeak-ng over ASRT_SpeechRecognition when espeak-ng is primarily C; ASRT_SpeechRecognition is Python; Tags unique to espeak-ng: android, c++, espeak, espeak-ng; More recently updated (last pushed Jun 29, 2026). ### When should I choose ASRT_SpeechRecognition over espeak-ng? Choose ASRT_SpeechRecognition over espeak-ng when ASRT_SpeechRecognition is primarily Python; espeak-ng is C; Tags unique to ASRT_SpeechRecognition: asrt, chinese-speech-recognition, cnn, ctc; Also covers Model Training; ASRT_SpeechRecognition ships Docker support for self-hosted deployment. ### When should I avoid ASRT_SpeechRecognition? Last GitHub push was 92 days ago (slowing maintenance, Apr 10, 2026). Validate activity before betting a new project on ASRT_SpeechRecognition. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ### Is espeak-ng or ASRT_SpeechRecognition more popular on GitHub? ASRT_SpeechRecognition has more GitHub stars (8,372 vs 6,634). Stars measure visibility, not whether either tool fits your constraints. ### Are espeak-ng and ASRT_SpeechRecognition open source? Yes - both are open-source projects on GitHub (espeak-ng: GPL-3.0, ASRT_SpeechRecognition: GPL-3.0). ### Where can I find alternatives to espeak-ng or ASRT_SpeechRecognition? GraphCanon lists graph-backed alternatives at [espeak-ng alternatives](/tools/espeak-ng-espeak-ng/alternatives) and [ASRT_SpeechRecognition alternatives](/tools/nl8590687-asrt-speechrecognition/alternatives) ([espeak-ng markdown twin](/tools/espeak-ng-espeak-ng/alternatives.md), [ASRT_SpeechRecognition markdown twin](/tools/nl8590687-asrt-speechrecognition/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-nl8590687-asrt-speechrecognition.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, espeak-ng or ASRT_SpeechRecognition? espeak-ng: Active. ASRT_SpeechRecognition: Slowing. 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 ASRT_SpeechRecognition? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [espeak-ng trust report](/tools/espeak-ng-espeak-ng/trust); [ASRT_SpeechRecognition trust report](/tools/nl8590687-asrt-speechrecognition/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/_