GraphCanon updated Sep 21, 2026 · GitHub synced Sep 21, 2026
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Decision brief
PPASR is an end-to-end Chinese speech recognition framework powered by PaddlePaddle, offering extensive support for advanced models like DeepSpeech2, Conformer and SqueezeFormer.
Good fit when
- When you are working with Chinese language data as PPASR specifically supports a wide range of Chinese-based models and decoding methods
- In scenarios requiring both stream and non-streaming recognition abilities since PPASR configures support for various models and decoders suitable for different recognition needs
Avoid when
- 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
Observed Jul 17, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Slowing (277d since push)
- As of Sep 21, 2026
- Provenance
- Not a fork · Personal account
- As of Sep 21, 2026
- Security (OSV)
- 6 low (6 low)
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install PPASRSimilar tools
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
PPASR is an automatic speech recognition framework based on PaddlePaddle that supports model training and deployment for both stream and non-streaming scenarios, with a focus on DeepSpeech2, Conformer, and Squeezeformer models.
Capability facts
- Languages
- python
Source: github.language · Sep 21, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Tags
README
PPASR流式与非流式语音识别项目 PPASR是一款基于PaddlePaddle实现的自动语音识别框架，PPASR中文名称PaddlePaddle中文语音识别（PaddlePaddle Automatic Speech Recognition），当前为V3版本，与V2版本不兼容，如果想使用V2版本，请在这个分支V2。PPASR致力于简单，实用的语音识别项目。可部署在服务器，Nvidia Jetson设备，未来还计划支持Android等移动设备。 别忘了star 欢迎大家扫码入知识星球或者QQ群讨论，知识星球里面提供项目的模型文件和博主其他相关项目的模型文...
For agents
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