--- title: "AudioGPT vs Fun-ASR" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/aigc-audio-audiogpt-vs-funaudiollm-fun-asr" tools: ["aigc-audio-audiogpt", "funaudiollm-fun-asr"] --- # AudioGPT vs Fun-ASR *GraphCanon updated Aug 15, 2026* ## Verdict Pick AudioGPT if 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; 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. [AudioGPT](https://huggingface.co/spaces/AIGC-Audio/AudioGPT) reports 10k GitHub stars, 850 forks, and 53 open issues, last pushed Jul 6, 2024. [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 [AudioGPT's repository](https://github.com/AIGC-Audio/AudioGPT) and [Fun-ASR's repository](https://github.com/FunAudioLLM/Fun-ASR). | | [AudioGPT](/tools/aigc-audio-audiogpt.md) | [Fun-ASR](/tools/funaudiollm-fun-asr.md) | | --- | --- | --- | | Tagline | AudioGPT: Understanding and Generating Speech, Music, Sound, and Talking Head | Fun-ASR-Nano LLM-ASR model supports 31 languages for real-time speech recognition tasks | | Stars | 10,172 | 1,449 | | Forks | 850 | 141 | | Open issues | 53 | 0 | | Language | Python | C | | 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. | Fun-ASR is a real-time speech recognition tool supporting 31 languages with capabilities for handling dialects, accents, and speaker diarization. | | Persona | - | - | | Runtime | - | - | | License | Other | Apache-2.0 | | Categories | Speech & Audio | LLM Frameworks, Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [AudioGPT](/tools/aigc-audio-audiogpt.md) | [Fun-ASR](/tools/funaudiollm-fun-asr.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 769d | 6d | | Open issues (now) | 53 | 0 | | Stars delta | +3 (30d) | Unknown | | Open issues delta | -1 (30d) | Unknown | | Full report | [trust report](/tools/aigc-audio-audiogpt/trust.md) | [trust report](/tools/funaudiollm-fun-asr/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. ## 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 AudioGPT if… - AudioGPT is primarily Python; Fun-ASR is C. - License: AudioGPT is Other, Fun-ASR is Apache-2.0. - 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 Fun-ASR if… - Fun-ASR is primarily C; AudioGPT is Python. - License: Fun-ASR is Apache-2.0, AudioGPT is Other. - 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 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 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 AudioGPT and Fun-ASR? AudioGPT: AudioGPT: Understanding and Generating Speech, Music, Sound, and Talking Head. 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 AudioGPT over Fun-ASR? Choose AudioGPT over Fun-ASR when AudioGPT is primarily Python; Fun-ASR is C; License: AudioGPT is Other, Fun-ASR is Apache-2.0; 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 Fun-ASR over AudioGPT? Choose Fun-ASR over AudioGPT when Fun-ASR is primarily C; AudioGPT is Python; License: Fun-ASR is Apache-2.0, AudioGPT is Other; 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 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 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 AudioGPT or Fun-ASR more popular on GitHub? AudioGPT has more GitHub stars (10,172 vs 1,449). Stars measure visibility, not whether either tool fits your constraints. ### Are AudioGPT and Fun-ASR open source? Yes - both are open-source projects on GitHub (AudioGPT: Other, Fun-ASR: Apache-2.0). ### Where can I find alternatives to AudioGPT or Fun-ASR? GraphCanon lists graph-backed alternatives at [AudioGPT alternatives](/tools/aigc-audio-audiogpt/alternatives) and [Fun-ASR alternatives](/tools/funaudiollm-fun-asr/alternatives) ([AudioGPT markdown twin](/tools/aigc-audio-audiogpt/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/aigc-audio-audiogpt-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, AudioGPT or Fun-ASR? AudioGPT: Dormant. 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 AudioGPT and Fun-ASR? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [AudioGPT trust report](/tools/aigc-audio-audiogpt/trust); [Fun-ASR trust report](/tools/funaudiollm-fun-asr/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/_