Comparison
ASRT_SpeechRecognition vs Amphion
Verdict
Pick ASRT_SpeechRecognition if aSRT_SpeechRecognition is a Python-powered deep-learning speech-to-text tool for Chinese languages, leveraging Keras and TensorFlow with CNN-CTC algorithms; pick Amphion if amphion offers support for reproducible research in audio, music, and speech generation through Python dependencies and Docker images that junior researchers and engineers can readily use.
Markdown twin · ASRT_SpeechRecognition alternatives · Amphion alternatives
GraphCanon updated Sep 20, 2026
8views this month
vs
Trust & integrity
| Signal | ASRT_SpeechRecognition | Amphion |
|---|---|---|
| Maintenance | Slowing (162d since push) As of Sep 20, 2026 · github_public_v1 | Slowing (178d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | Published findings As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · 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
- ASRT_SpeechRecognition
- A Deep-Learning-Based Chinese Speech Recognition System
- Amphion
- A toolkit for Audio, Music, and Speech Generation to support reproducible research
Stars
- ASRT_SpeechRecognition
- 8.4k
- Amphion
- 10k
Forks
- ASRT_SpeechRecognition
- 1.9k
- Amphion
- 851
Open issues
- ASRT_SpeechRecognition
- 113
- Amphion
- 175
Language
- ASRT_SpeechRecognition
- Python
- Amphion
- Python
Adopt for
- ASRT_SpeechRecognition
- ASRT_SpeechRecognition is a Python-powered deep-learning speech-to-text tool for Chinese languages, leveraging Keras and TensorFlow with CNN-CTC algorithms.
- Amphion
- Amphion offers support for reproducible research in audio, music, and speech generation through Python dependencies and Docker images that junior researchers and engineers can readily use.
Persona
- ASRT_SpeechRecognition
- -
- Amphion
- -
Runtime
- ASRT_SpeechRecognition
- -
- Amphion
- -
License
- ASRT_SpeechRecognition
- GPL-3.0
- Amphion
- MIT
Last pushed
- ASRT_SpeechRecognition
- Apr 10, 2026
- Amphion
- Mar 25, 2026
Categories
- ASRT_SpeechRecognition
- Speech & Audio
- Amphion
- Speech & Audio
Trust and health
Days since push
- ASRT_SpeechRecognition
- 162d
- Amphion
- 178d
Open issues (now)
- ASRT_SpeechRecognition
- 113
- Amphion
- 175
Stars delta
- ASRT_SpeechRecognition
- +8 (30d)
- Amphion
- +330 (30d)
Open issues delta
- ASRT_SpeechRecognition
- -2 (30d)
- Amphion
- 0 (30d)
Owner type
- ASRT_SpeechRecognition
- User
- Amphion
- Organization
OSV dependency advisories
- ASRT_SpeechRecognition
- Published findings
- Amphion
- No lockfile (source not queried)
Full report
- ASRT_SpeechRecognition
- Trust report
- Amphion
- Trust report
Choose ASRT_SpeechRecognition if…
- License: ASRT_SpeechRecognition is GPL-3.0, Amphion is MIT.
- Tags unique to ASRT_SpeechRecognition: asrt, chinese-speech-recognition, cnn, ctc.
- When specific to Chinese language recognition needs
When NOT to use ASRT_SpeechRecognition
- When non-Chinese speech recognition is required
- For projects needing different deep learning frameworks than TensorFlow and Keras
Choose Amphion if…
- License: Amphion is MIT, ASRT_SpeechRecognition is GPL-3.0.
- Tags unique to Amphion: audio-generation, music-generation, singing-voice-conversion, speech-synthesis.
- When you are new to the field of audio, music, or speech generation and seeking a toolkit that simplifies setup with Python dependencies and Docker images.
When NOT to use Amphion
- If you require advanced customization beyond what the provided Python packages offer, since Amphion caters more to getting started quickly without deep configuration.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (nl8590687/ASRT_SpeechRecognition) · observed Sep 20, 2026
- GitHub forks (nl8590687/ASRT_SpeechRecognition) · observed Sep 20, 2026
- Last push (nl8590687/ASRT_SpeechRecognition) · observed Apr 10, 2026
- License file (GPL-3.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (open-mmlab/Amphion) · observed Sep 20, 2026
- GitHub forks (open-mmlab/Amphion) · observed Sep 20, 2026
- Last push (open-mmlab/Amphion) · observed Mar 25, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: ASRT_SpeechRecognition 8.4k · Amphion 10k (synced Sep 20, 2026).
Common questions
- What is the difference between ASRT_SpeechRecognition and Amphion?
- ASRT_SpeechRecognition: A Deep-Learning-Based Chinese Speech Recognition System. Amphion: A toolkit for Audio, Music, and Speech Generation to support reproducible research. See the comparison table for live GitHub stats and shared categories.
- When should I choose ASRT_SpeechRecognition over Amphion?
- Choose ASRT_SpeechRecognition over Amphion when License: ASRT_SpeechRecognition is GPL-3.0, Amphion is MIT; Tags unique to ASRT_SpeechRecognition: asrt, chinese-speech-recognition, cnn, ctc; When specific to Chinese language recognition needs.
- When should I choose Amphion over ASRT_SpeechRecognition?
- Choose Amphion over ASRT_SpeechRecognition when License: Amphion is MIT, ASRT_SpeechRecognition is GPL-3.0; Tags unique to Amphion: audio-generation, music-generation, singing-voice-conversion, speech-synthesis; When you are new to the field of audio, music, or speech generation and seeking a toolkit that simplifies setup with Python dependencies and Docker images.
- When should I avoid ASRT_SpeechRecognition?
- When non-Chinese speech recognition is required For projects needing different deep learning frameworks than TensorFlow and Keras
- When should I avoid Amphion?
- If you require advanced customization beyond what the provided Python packages offer, since Amphion caters more to getting started quickly without deep configuration.
- Is ASRT_SpeechRecognition or Amphion more popular on GitHub?
- Amphion has more GitHub stars (10,303 vs 8,390). Stars measure visibility, not whether either tool fits your constraints.
- Are ASRT_SpeechRecognition and Amphion open source?
- Yes - both are open-source projects on GitHub (ASRT_SpeechRecognition: GPL-3.0, Amphion: MIT).
- Where can I find alternatives to ASRT_SpeechRecognition or Amphion?
- GraphCanon lists graph-backed alternatives at ASRT_SpeechRecognition alternatives and Amphion alternatives (ASRT_SpeechRecognition markdown twin, Amphion 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, ASRT_SpeechRecognition or Amphion?
- ASRT_SpeechRecognition: Slowing. Amphion: 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 ASRT_SpeechRecognition and Amphion?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ASRT_SpeechRecognition trust report; Amphion trust report.