Z-yq/TensorflowASR
A Tensorflow 2 end-to-end speech recognition system implementing Conformer and CTC models with CPU-optimized inference achieving real-time factor under 0.1.

This repository provides a Tensorflow-based implementation of automatic speech recognition models, primarily using Conformer architecture with CTC decoding. It supports both streaming (online) and offline recognition modes, with features including VAD, denoising, and punctuation restoration. The project focuses on CPU optimization to achieve near real-time performance while maintaining competitive accuracy on benchmarks like Aishell-1.