Comparison
espnet vs ASRT_SpeechRecognition
Verdict
Pick espnet if eSPNet is an End-to-End Speech Processing Toolkit that employs deep learning models for tasks including speech recognition and synthesis; 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.
Markdown twin · espnet alternatives · ASRT_SpeechRecognition alternatives
GraphCanon updated Sep 20, 2026
8views this month
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Trust & integrity
| Signal | espnet | ASRT_SpeechRecognition |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 20, 2026 · github_public_v1 | Slowing (162d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | Published findings 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
- espnet
- End-to-End Speech Processing Toolkit
- ASRT_SpeechRecognition
- A Deep-Learning-Based Chinese Speech Recognition System
Stars
- espnet
- 10.0k
- ASRT_SpeechRecognition
- 8.4k
Forks
- espnet
- 2.4k
- ASRT_SpeechRecognition
- 1.9k
Open issues
- espnet
- 79
- ASRT_SpeechRecognition
- 113
Language
- espnet
- Python
- ASRT_SpeechRecognition
- Python
Adopt for
- espnet
- ESPNet is an End-to-End Speech Processing Toolkit that employs deep learning models for tasks including speech recognition and synthesis.
- 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.
Persona
- espnet
- -
- ASRT_SpeechRecognition
- -
Runtime
- espnet
- -
- ASRT_SpeechRecognition
- -
License
- espnet
- Apache-2.0
- ASRT_SpeechRecognition
- GPL-3.0
Last pushed
- espnet
- Sep 20, 2026
- ASRT_SpeechRecognition
- Apr 10, 2026
Categories
- espnet
- Model Training, Speech & Audio
- ASRT_SpeechRecognition
- Speech & Audio
Trust and health
Maintenance
- espnet
- Very active (96%)
- ASRT_SpeechRecognition
- Slowing (36%)
Days since push
- espnet
- 0d
- ASRT_SpeechRecognition
- 162d
Open issues (now)
- espnet
- 79
- ASRT_SpeechRecognition
- 113
Stars delta
- espnet
- +60 (30d)
- ASRT_SpeechRecognition
- +8 (30d)
Open issues delta
- espnet
- +30 (30d)
- ASRT_SpeechRecognition
- -2 (30d)
Owner type
- espnet
- Organization
- ASRT_SpeechRecognition
- User
OSV dependency advisories
- espnet
- No lockfile (source not queried)
- ASRT_SpeechRecognition
- Published findings
Full report
- espnet
- Trust report
- ASRT_SpeechRecognition
- Trust report
Choose espnet if…
- License: espnet is Apache-2.0, ASRT_SpeechRecognition is GPL-3.0.
- Tags unique to espnet: chainer, deep-learning, kaldi, pytorch.
- Also covers Model Training.
- When you require comprehensive tools for end-to-end speech processing tasks such as speech recognition, synthesis, translation, and speaker diarization.
When NOT to use espnet
- If you are working on tasks unrelated to speech or audio processing, such as computer vision, NLP, or any other deep learning areas outside of ESPNet's focus.
- Your development environment is limited to languages other than Python or frameworks that do not support Chainer or PyTorch, which are foundational to espnet.
Choose ASRT_SpeechRecognition if…
- License: ASRT_SpeechRecognition is GPL-3.0, espnet is Apache-2.0.
- Tags unique to ASRT_SpeechRecognition: asrt, chinese-speech-recognition, cnn, ctc.
- 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
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (espnet/espnet) · observed Sep 20, 2026
- GitHub forks (espnet/espnet) · observed Sep 20, 2026
- Last push (espnet/espnet) · observed Sep 20, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- 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 on cards: espnet 10.0k · ASRT_SpeechRecognition 8.4k (synced Sep 20, 2026).
Common questions
- What is the difference between espnet and ASRT_SpeechRecognition?
- espnet: End-to-End Speech Processing Toolkit. ASRT_SpeechRecognition: A Deep-Learning-Based Chinese Speech Recognition System. See the comparison table for live GitHub stats and shared categories.
- When should I choose espnet over ASRT_SpeechRecognition?
- Choose espnet over ASRT_SpeechRecognition when License: espnet is Apache-2.0, ASRT_SpeechRecognition is GPL-3.0; Tags unique to espnet: chainer, deep-learning, kaldi, pytorch; Also covers Model Training; When you require comprehensive tools for end-to-end speech processing tasks such as speech recognition, synthesis, translation, and speaker diarization.
- When should I choose ASRT_SpeechRecognition over espnet?
- Choose ASRT_SpeechRecognition over espnet when License: ASRT_SpeechRecognition is GPL-3.0, espnet is Apache-2.0; Tags unique to ASRT_SpeechRecognition: asrt, chinese-speech-recognition, cnn, ctc; ASRT_SpeechRecognition ships Docker support for self-hosted deployment; When specific to Chinese language recognition needs.
- When should I avoid espnet?
- If you are working on tasks unrelated to speech or audio processing, such as computer vision, NLP, or any other deep learning areas outside of ESPNet's focus. Your development environment is limited to languages other than Python or frameworks that do not support Chainer or PyTorch, which are foundational to espnet.
- When should I avoid ASRT_SpeechRecognition?
- When non-Chinese speech recognition is required For projects needing different deep learning frameworks than TensorFlow and Keras
- Is espnet or ASRT_SpeechRecognition more popular on GitHub?
- espnet has more GitHub stars (9,963 vs 8,390). Stars measure visibility, not whether either tool fits your constraints.
- Are espnet and ASRT_SpeechRecognition open source?
- Yes - both are open-source projects on GitHub (espnet: Apache-2.0, ASRT_SpeechRecognition: GPL-3.0).
- Where can I find alternatives to espnet or ASRT_SpeechRecognition?
- GraphCanon lists graph-backed alternatives at espnet alternatives and ASRT_SpeechRecognition alternatives (espnet markdown twin, ASRT_SpeechRecognition 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, espnet or ASRT_SpeechRecognition?
- espnet: Very active. 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 espnet and ASRT_SpeechRecognition?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: espnet trust report; ASRT_SpeechRecognition trust report.