metadata
base_model: openai/whisper-large-v3-turbo
library_name: transformers
license: apache-2.0
pipeline_tag: automatic-speech-recognition
tags:
- audio
- automatic-speech-recognition
- whisper
- hf-asr-leaderboard
Model Card for Lite-Whisper large-v3-turbo-fast
Lite-Whisper is a compressed version of OpenAI Whisper with LiteASR. See our GitHub repository and paper for details.
Benchmark Results
Following is the average word error rate (WER) evaluated on the ESB datasets:
| Model | Average WER (↓) | Encoder Size | Decoder Size |
|---|---|---|---|
| whisper-large-v3 | 10.1 | 635M | 907M |
| lite-whisper-large-v3-acc | 10.1 | 429M | 907M |
| lite-whisper-large-v3 | 10.2 | 377M | 907M |
| lite-whisper-large-v3-fast | 11.3 | 308M | 907M |
| whisper-large-v3-turbo | 10.1 | 635M | 172M |
| lite-whisper-large-v3-turbo-acc | 10.2 | 421M | 172M |
| lite-whisper-large-v3-turbo | 12.6 | 374M | 172M |
| lite-whisper-large-v3-turbo-fast | 20.1 | 313M | 172M |
| whisper-medium | 14.8 | 306M | 457M |