Comparison
AudioGPT vs FunASR
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 FunASR if funASR is an industrial-grade toolkit supporting real-time speech recognition across over 50 languages.
Markdown twin · AudioGPT alternatives · FunASR alternatives
GraphCanon updated 1w
Trust & integrity
| Signal | AudioGPT | FunASR |
|---|---|---|
| Maintenance | Dormant (769d since push) As of 1w · github_public_v1 | Very active (0d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1w · github_public_v1 | Not a fork · Organization account As of 3w · github_public_v1 |
| OSV dependency advisories | Published findings As of 1mo · osv@v1 | No lockfile (source not queried) As of 1w · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- AudioGPT
- AudioGPT: Understanding and Generating Speech, Music, Sound, and Talking Head
- FunASR
- Industrial-grade speech recognition toolkit
Stars
- AudioGPT
- 10k
- FunASR
- 20k
Forks
- AudioGPT
- 850
- FunASR
- 2.0k
Open issues
- AudioGPT
- 53
- FunASR
- 5
Language
- AudioGPT
- Python
- FunASR
- Python
Adopt for
- AudioGPT
- 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.
- FunASR
- FunASR is an industrial-grade toolkit supporting real-time speech recognition across over 50 languages.
Persona
- AudioGPT
- -
- FunASR
- -
Runtime
- AudioGPT
- -
- FunASR
- -
License
- AudioGPT
- Other
- FunASR
- MIT License allows free use and modification.
Last pushed
- AudioGPT
- Jul 6, 2024
- FunASR
- Jul 30, 2026
Categories
- AudioGPT
- Speech & Audio
- FunASR
- Speech & Audio
Trust and health
Maintenance
- AudioGPT
- Dormant (18%)
- FunASR
- Very active (96%)
Days since push
- AudioGPT
- 769d
- FunASR
- 0d
Open issues (now)
- AudioGPT
- 53
- FunASR
- 5
Stars delta
- AudioGPT
- +3 (30d)
- FunASR
- Unknown
Open issues delta
- AudioGPT
- -1 (30d)
- FunASR
- Unknown
OSV dependency advisories
- AudioGPT
- Published findings
- FunASR
- No lockfile (source not queried)
Full report
- AudioGPT
- Trust report
- FunASR
- Trust report
Choose AudioGPT if…
- License: AudioGPT is Other, FunASR is MIT.
- Tags unique to AudioGPT: gpt, music, sound, speech.
- - Utilize AudioGPT when you need to generate speech or music with specific style transfer capabilities using GenerSpeech.
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.
Choose FunASR if…
- License: FunASR is MIT, AudioGPT is Other.
- Requirements: Requires Python ≥ 3.8.; PyTorch and torchaudio must be installed separately before running FunASR..
- Tags unique to FunASR: asr, chinese, emotion-recognition, multilingual-asr.
- When requiring high-speed real-time processing of up to 170x realtime speech recognition.
When NOT to use FunASR
- In scenarios where only a narrow set of languages are required, as overhead for supporting over 50 languages may be unnecessary.
- For projects lacking GPU resources since certain models, like the Fun-ASR-Nano flagship model, require a GPU to run effectively.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (AIGC-Audio/AudioGPT) · observed Aug 15, 2026
- GitHub forks (AIGC-Audio/AudioGPT) · observed Aug 15, 2026
- Last push (AIGC-Audio/AudioGPT) · observed Jul 6, 2024
- License file (Other) · observed Aug 15, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (modelscope/FunASR) · observed Jul 30, 2026
- GitHub forks (modelscope/FunASR) · observed Jul 30, 2026
- Last push (modelscope/FunASR) · observed Jul 30, 2026
- License file (MIT) · observed Jul 30, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Aug 16, 2026
GitHub stars on cards: AudioGPT 10k · FunASR 20k (synced Aug 15, 2026).
Common questions
- What is the difference between AudioGPT and FunASR?
- AudioGPT: AudioGPT: Understanding and Generating Speech, Music, Sound, and Talking Head. FunASR: Industrial-grade speech recognition toolkit. See the comparison table for live GitHub stats and shared categories.
- When should I choose AudioGPT over FunASR?
- Choose AudioGPT over FunASR when License: AudioGPT is Other, FunASR is MIT; Tags unique to AudioGPT: gpt, music, sound, speech; - Utilize AudioGPT when you need to generate speech or music with specific style transfer capabilities using GenerSpeech.
- When should I choose FunASR over AudioGPT?
- Choose FunASR over AudioGPT when License: FunASR is MIT, AudioGPT is Other; Requirements: Requires Python ≥ 3.8.; PyTorch and torchaudio must be installed separately before running FunASR.; Tags unique to FunASR: asr, chinese, emotion-recognition, multilingual-asr; When requiring high-speed real-time processing of up to 170x realtime speech recognition.
- 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 FunASR?
- In scenarios where only a narrow set of languages are required, as overhead for supporting over 50 languages may be unnecessary. For projects lacking GPU resources since certain models, like the Fun-ASR-Nano flagship model, require a GPU to run effectively.
- Is AudioGPT or FunASR more popular on GitHub?
- FunASR has more GitHub stars (19,554 vs 10,172). Stars measure visibility, not whether either tool fits your constraints.
- Are AudioGPT and FunASR open source?
- Yes - both are open-source projects on GitHub (AudioGPT: Other, FunASR: MIT).
- Where can I find alternatives to AudioGPT or FunASR?
- GraphCanon lists graph-backed alternatives at AudioGPT alternatives and FunASR alternatives (AudioGPT markdown twin, FunASR markdown twin), 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 mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, AudioGPT or FunASR?
- AudioGPT: Dormant. FunASR: 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 FunASR?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: AudioGPT trust report; FunASR trust report.