metadata
language: en
datasets:
- librispeech_asr
tags:
- speech
- audio
- automatic-speech-recognition
license: apache-2.0
Distil-wav2vec2
This model is a distilled version of the wav2vec2 model (https://arxiv.org/pdf/2006.11477.pdf). This model is 45% times smaller and twice as fast as the original wav2vec2 base model.
Evaluation results
This model achieves the following results (speed is mesured for a batch size of 64):
| Model | Size | WER Librispeech-test-clean | WER Librispeech-test-other | Speed on cpu | speed on gpu |
|---|---|---|---|---|---|
| Distil-wav2vec2 | 197.9 Mb | 0.0983 | 0.2266 | 0.4006s | 0.0046s |
| wav2vec2-base | 360 Mb | 0.0389 | 0.1047 | 0.4919s | 0.0082s |
Usage
notebook (executes seamlessly on google colab) at https://github.com/OthmaneJ/distil-wav2vec2