https://github.com/desh2608/streaming_wer
CUDA implementation of Streaming WER metric
https://github.com/desh2608/streaming_wer
Last synced: 2 months ago
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CUDA implementation of Streaming WER metric
- Host: GitHub
- URL: https://github.com/desh2608/streaming_wer
- Owner: desh2608
- License: mit
- Created: 2023-07-27T14:00:54.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2023-07-27T15:17:44.000Z (almost 2 years ago)
- Last Synced: 2025-01-24T22:32:10.086Z (4 months ago)
- Language: Python
- Size: 13.7 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
Streaming WER
This is a CUDA implementation of the streaming word error rate metric (streaming WER),
proposed by Ehsan Variani during JSALT 2023.## Streaming WER
## Installation
```bash
pip install -e .
```Run tests:
```bash
pytest tests
```## Usage
## Credits
This implementation borrows heavily from the following repository: https://github.com/1ytic/pytorch-edit-distance