--- title: "AudioGPT vs ASRT_SpeechRecognition" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/aigc-audio-audiogpt-vs-nl8590687-asrt-speechrecognition" tools: ["aigc-audio-audiogpt", "nl8590687-asrt-speechrecognition"] --- # AudioGPT vs ASRT_SpeechRecognition *GraphCanon updated Jul 11, 2026* ## Verdict Pick AudioGPT when license: AudioGPT is Other, ASRT_SpeechRecognition is GPL-3.0; pick ASRT_SpeechRecognition when license: ASRT_SpeechRecognition is GPL-3.0, AudioGPT is Other. [AudioGPT](https://huggingface.co/spaces/AIGC-Audio/AudioGPT) reports 10k GitHub stars, 853 forks, and 54 open issues, last pushed Jul 6, 2024. [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 [AudioGPT's repository](https://github.com/AIGC-Audio/AudioGPT) and [ASRT_SpeechRecognition's repository](https://github.com/nl8590687/ASRT_SpeechRecognition). | | [AudioGPT](/tools/aigc-audio-audiogpt.md) | [ASRT_SpeechRecognition](/tools/nl8590687-asrt-speechrecognition.md) | | --- | --- | --- | | Tagline | AudioGPT: Understanding and Generating Speech, Music, Sound, and Talking Head | A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统 | | Stars | 10,169 | 8,372 | | Forks | 853 | 1,898 | | Open issues | 54 | 115 | | Language | Python | Python | | Adopt for | AudioGPT is a Python-based tool for generating and understanding various audio forms including speech, music, sound effects, and talking head animations using pre-trained models. | - | | Persona | - | - | | Runtime | - | - | | License | Other | GPL-3.0 | | Categories | Speech & Audio | Model Training, Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [AudioGPT](/tools/aigc-audio-audiogpt.md) | [ASRT_SpeechRecognition](/tools/nl8590687-asrt-speechrecognition.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Slowing (36%) | | Days since push | 734d | 91d | | Open issues (now) | 54 | 115 | | Owner type | Organization | User | | Security scan | 137 low (137 low) | 74 low (74 low) | | Full report | [trust report](/tools/aigc-audio-audiogpt/trust.md) | [trust report](/tools/nl8590687-asrt-speechrecognition/trust.md) | ## Decision facts: AudioGPT - **Adopt for:** AudioGPT is a Python-based tool for generating and understanding various audio forms including speech, music, sound effects, and talking head animations using pre-trained models. ## Choose when ### Choose AudioGPT if… - License: AudioGPT is Other, ASRT_SpeechRecognition is GPL-3.0. - Tags unique to AudioGPT: audio, gpt, music, sound. - - Utilize AudioGPT when you need to generate speech or music with specific style transfer capabilities using GenerSpeech. ### Choose ASRT_SpeechRecognition if… - License: ASRT_SpeechRecognition is GPL-3.0, AudioGPT is Other. - 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 AudioGPT - - Avoid AudioGPT if your audio processing toolkit needs to be exclusively self-contained; some model references are external links requiring separate access. - - Do not use for projects that absolutely need completed features for all tasks as certain capabilities (speech translation) are still work-in-progress. ## 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 AudioGPT and ASRT_SpeechRecognition? AudioGPT: AudioGPT: Understanding and Generating Speech, Music, Sound, and Talking Head. 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 AudioGPT over ASRT_SpeechRecognition? Choose AudioGPT over ASRT_SpeechRecognition when License: AudioGPT is Other, ASRT_SpeechRecognition is GPL-3.0; Tags unique to AudioGPT: audio, gpt, music, sound; - Utilize AudioGPT when you need to generate speech or music with specific style transfer capabilities using GenerSpeech. ### When should I choose ASRT_SpeechRecognition over AudioGPT? Choose ASRT_SpeechRecognition over AudioGPT when License: ASRT_SpeechRecognition is GPL-3.0, AudioGPT is Other; 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 AudioGPT? - Avoid AudioGPT if your audio processing toolkit needs to be exclusively self-contained; some model references are external links requiring separate access. - Do not use for projects that absolutely need completed features for all tasks as certain capabilities (speech translation) are still work-in-progress. ### 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 AudioGPT or ASRT_SpeechRecognition more popular on GitHub? AudioGPT has more GitHub stars (10,169 vs 8,372). Stars measure visibility, not whether either tool fits your constraints. ### Are AudioGPT and ASRT_SpeechRecognition open source? Yes - both are open-source projects on GitHub (AudioGPT: Other, ASRT_SpeechRecognition: GPL-3.0). ### Where can I find alternatives to AudioGPT or ASRT_SpeechRecognition? GraphCanon lists graph-backed alternatives at [AudioGPT alternatives](/tools/aigc-audio-audiogpt/alternatives) and [ASRT_SpeechRecognition alternatives](/tools/nl8590687-asrt-speechrecognition/alternatives) ([AudioGPT markdown twin](/tools/aigc-audio-audiogpt/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/aigc-audio-audiogpt-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, AudioGPT or ASRT_SpeechRecognition? AudioGPT: Dormant. 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 AudioGPT and ASRT_SpeechRecognition? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [AudioGPT trust report](/tools/aigc-audio-audiogpt/trust); [ASRT_SpeechRecognition trust report](/tools/nl8590687-asrt-speechrecognition/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=aigc-audio-audiogpt`](/api/graphcanon/graph?tool=aigc-audio-audiogpt) - 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/_