Comparison
ASRT_SpeechRecognition vs PPASR
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 PPASR if pPASR is an end-to-end Chinese speech recognition framework powered by PaddlePaddle, offering extensive support for advanced models like DeepSpeech2, Conformer and SqueezeFormer.
Markdown twin · ASRT_SpeechRecognition alternatives · PPASR alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | ASRT_SpeechRecognition | PPASR |
|---|---|---|
| Maintenance | Slowing (110d since push) As of 3w · github_public_v1 | Slowing (225d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 3w · github_public_v1 | Not a fork · Personal account As of 2w · github_public_v1 |
| OSV dependency advisories | Published findings As of 1mo · osv@v1 | Published findings As of 1mo · 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
- PPASR
- PaddlePaddle-based end-to-end Chinese speech recognition framework
Stars
- ASRT_SpeechRecognition
- 8.4k
- PPASR
- 872
Forks
- ASRT_SpeechRecognition
- 1.9k
- PPASR
- 129
Open issues
- ASRT_SpeechRecognition
- 115
- PPASR
- 1
Language
- ASRT_SpeechRecognition
- Python
- PPASR
- 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.
- PPASR
- PPASR is an end-to-end Chinese speech recognition framework powered by PaddlePaddle, offering extensive support for advanced models like DeepSpeech2, Conformer and SqueezeFormer.
Persona
- ASRT_SpeechRecognition
- -
- PPASR
- -
Runtime
- ASRT_SpeechRecognition
- -
- PPASR
- -
License
- ASRT_SpeechRecognition
- GPL-3.0
- PPASR
- Apache-2.0
Last pushed
- ASRT_SpeechRecognition
- Apr 10, 2026
- PPASR
- Dec 17, 2025
Categories
- ASRT_SpeechRecognition
- Speech & Audio
- PPASR
- Inference & Serving, Model Training
Trust and health
Days since push
- ASRT_SpeechRecognition
- 110d
- PPASR
- 225d
Open issues (now)
- ASRT_SpeechRecognition
- 115
- PPASR
- 1
Full report
- ASRT_SpeechRecognition
- Trust report
- PPASR
- Trust report
Choose ASRT_SpeechRecognition if…
- License: ASRT_SpeechRecognition is GPL-3.0, PPASR is Apache-2.0.
- Tags unique to ASRT_SpeechRecognition: asrt, chinese-speech-recognition, cnn, ctc.
- Also covers Speech & Audio.
- ASRT_SpeechRecognition ships Docker support for self-hosted deployment.
- 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 PPASR if…
- License: PPASR is Apache-2.0, ASRT_SpeechRecognition is GPL-3.0.
- Tags unique to PPASR: asr, chinese, conformer, deep-learning.
- Also covers Inference & Serving, Model Training.
- When you are working with Chinese language data as PPASR specifically supports a wide range of Chinese-based models and decoding methods
When NOT to use PPASR
- When the project does not involve working with Python, as PPASR runs on a Python environment and is not compatible with other languages
- For applications that need immediate access to pre-trained models without requiring an additional engagement like joining a knowledge community for download access
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 Jul 30, 2026
- GitHub forks (nl8590687/ASRT_SpeechRecognition) · observed Jul 30, 2026
- Last push (nl8590687/ASRT_SpeechRecognition) · observed Apr 10, 2026
- License file (GPL-3.0) · observed Jul 30, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (yeyupiaoling/PPASR) · observed Jul 31, 2026
- GitHub forks (yeyupiaoling/PPASR) · observed Jul 31, 2026
- Last push (yeyupiaoling/PPASR) · observed Dec 17, 2025
- License file (Apache-2.0) · observed Jul 31, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: ASRT_SpeechRecognition 8.4k · PPASR 872 (synced Jul 30, 2026).
Common questions
- What is the difference between ASRT_SpeechRecognition and PPASR?
- ASRT_SpeechRecognition: A Deep-Learning-Based Chinese Speech Recognition System. PPASR: PaddlePaddle-based end-to-end Chinese speech recognition framework. See the comparison table for live GitHub stats and shared categories.
- When should I choose ASRT_SpeechRecognition over PPASR?
- Choose ASRT_SpeechRecognition over PPASR when License: ASRT_SpeechRecognition is GPL-3.0, PPASR is Apache-2.0; Tags unique to ASRT_SpeechRecognition: asrt, chinese-speech-recognition, cnn, ctc; Also covers Speech & Audio; ASRT_SpeechRecognition ships Docker support for self-hosted deployment; When specific to Chinese language recognition needs.
- When should I choose PPASR over ASRT_SpeechRecognition?
- Choose PPASR over ASRT_SpeechRecognition when License: PPASR is Apache-2.0, ASRT_SpeechRecognition is GPL-3.0; Tags unique to PPASR: asr, chinese, conformer, deep-learning; Also covers Inference & Serving, Model Training; When you are working with Chinese language data as PPASR specifically supports a wide range of Chinese-based models and decoding methods.
- 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 PPASR?
- When the project does not involve working with Python, as PPASR runs on a Python environment and is not compatible with other languages For applications that need immediate access to pre-trained models without requiring an additional engagement like joining a knowledge community for download access
- Is ASRT_SpeechRecognition or PPASR more popular on GitHub?
- ASRT_SpeechRecognition has more GitHub stars (8,382 vs 872). Stars measure visibility, not whether either tool fits your constraints.
- Are ASRT_SpeechRecognition and PPASR open source?
- Yes - both are open-source projects on GitHub (ASRT_SpeechRecognition: GPL-3.0, PPASR: Apache-2.0).
- Where can I find alternatives to ASRT_SpeechRecognition or PPASR?
- GraphCanon lists graph-backed alternatives at ASRT_SpeechRecognition alternatives and PPASR alternatives (ASRT_SpeechRecognition markdown twin, PPASR 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 PPASR?
- ASRT_SpeechRecognition: Slowing. PPASR: 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 PPASR?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ASRT_SpeechRecognition trust report; PPASR trust report.