TensorSpeech/TensorFlowASR

:zap: TensorFlowASR: Almost State-of-the-art Automatic Speech Recognition in Tensorflow 2. Supported languages that can use characters or subwords

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Established

This project provides advanced automatic speech recognition (ASR) models for converting spoken language into text. You input audio signals, and it outputs the transcribed text, supporting multiple languages like English and Vietnamese. It's designed for machine learning engineers and researchers who need to build or deploy high-performance speech-to-text systems.

1,005 stars. No commits in the last 6 months. Available on PyPI.

Use this if you are a machine learning engineer or researcher looking to implement or experiment with state-of-the-art automatic speech recognition models for various languages.

Not ideal if you are an end-user seeking a ready-to-use speech-to-text application without needing to build or customize the underlying model.

speech-to-text voice-transcription natural-language-processing audio-analysis machine-learning-development
Stale 6m
Maintenance 2 / 25
Adoption 10 / 25
Maturity 25 / 25
Community 25 / 25

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Stars

1,005

Forks

240

Language

Python

License

Apache-2.0

Last pushed

Jun 11, 2025

Commits (30d)

0

Dependencies

10

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