TensorFlowASR
Almost State-of-the-art Automatic Speech Recognition in Tensorflow 2
GraphCanon updated 3w · GitHub synced 3w
Decision brief
TensorFlowASR is an advanced Automatic Speech Recognition library built on TensorFlow 2 that supports modern architectures such as Conformer and RNN-Transducer.
Good fit when
- When focusing on state-of-the-art performance with models like Conformer or ContextNet, which are among its supported architectures and not necessarily included in all ASR libraries.
- If working within the TensorFlow ecosystem looking for a library that offers model conversion to TFLite for deployment.
Avoid when
- When Python version constraints are an issue, as TensorFlowASR strictly requires python >= 3.12 on Apple Silicon devices, limiting compatibility.
- If your project cannot accommodate the extra installation steps involving `ctc_decoders` and `rnnt_loss`, which implies additional complexity in setting up the environment.
Observed Jul 16, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Very active (0d since push)
- As of 3w
- Provenance
- Not a fork · Organization account
- As of 3w
- Security (OSV)
- 15 low (15 low)
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install TensorFlowASR PyPISimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
A TensorFlow 2-based library for state-of-the-art automatic speech recognition models. Supports multiple architectures including Conformer, ContextNet, and RNN-Transducer.
Capability facts
- Deploy
- Self-host
Source: dockerfile:Dockerfile · Jul 31, 2026
- Docker
- Dockerfile present
Source: dockerfile:Dockerfile · Jul 31, 2026
- Languages
- python
Source: github.language+pyproject.toml · Jul 31, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Jul 31, 2026)
**NOTE ONLY FOR APPLE SILICON**: TensorFlowASR requires python >= 3.12Source link
Tags
README
Installation
For training and testing, you should use git clone for installing necessary packages from other authors (ctc_decoders, rnnt_loss, etc.)
NOTE ONLY FOR APPLE SILICON: TensorFlowASR requires python >= 3.12
See the requirements.[extra].txt files for extra dependencies
git clone https://github.com/TensorSpeech/TensorFlowASR.git
cd TensorFlowASR
./setup.sh [apple|tpu|gpu] [dev]
Running in a container
docker-compose up -d
For agents
This page has a .md twin and JSON over the API.