fujielab-asr-parallel-cbs 0.0.1

Parallel CBS Transformer Based ASR

fujielab-asr-parallel-cbs

Parallel CBS Transformer based ASR system built on ESPnet

Overview

fujielab-asr-parallel-cbs is an automatic speech recognition (ASR) system based on ESPnet, featuring a parallelizable Contextual Block Streaming (CBS) Transformer.

Features

• Implementation of a parallel CBS Transformer Encoder extending the ESPnet framework
• Supports online and streaming ASR inference

Installation

PyPI Installation

You can install the package directly from PyPI:

pip install fujielab-asr-parallel-cbs

Local Installation

1. Install the required Python packages:

   pip install -e .
   

2. If there are additional dependencies, please refer to pyproject.toml.

Usage

Example: Running Inference

You can perform inference from an audio file using examples/run_streaming_asr.py:

python examples/run_streaming_asr.py

It will automatically download the pre-trained model from Hugging Face Hub and sample audio files from CSJ (Corpus of Spontaneous Japanese) official site.

Directory Structure

• espnet_ext/ : ESPnet extension implementation
  • espnet/ : Extensions for ESPnet1
  • espnet2/ : Extensions for ESPnet2 (ASR, transducer, joint network, etc.)
• examples/ : Sample audio and inference scripts
• warprnnt_pytorch/ : Dummy module for warprnnt_pytorch

License

This repository is released under the Apache License 2.0.

Acknowledgements

This project is based on the ESPnet framework and incorporates contributions from various open-source projects. We thank the ESPnet team and contributors for their work.