77 lines
1.8 KiB
Markdown
77 lines
1.8 KiB
Markdown
---
|
|
language: ko
|
|
datasets:
|
|
- kresnik/zeroth_korean
|
|
tags:
|
|
- speech
|
|
- audio
|
|
- automatic-speech-recognition
|
|
license: apache-2.0
|
|
|
|
model-index:
|
|
- name: 'Wav2Vec2 XLSR Korean'
|
|
results:
|
|
- task:
|
|
name: Automatic Speech Recognition
|
|
type: automatic-speech-recognition
|
|
dataset:
|
|
name: Zeroth Korean
|
|
type: kresnik/zeroth_korean
|
|
args: clean
|
|
metrics:
|
|
- name: Test WER
|
|
type: wer
|
|
value: 4.74
|
|
- name: Test CER
|
|
type: cer
|
|
value: 1.78
|
|
|
|
---
|
|
|
|
|
|
## Evaluation on Zeroth-Korean ASR corpus
|
|
|
|
[Google colab notebook(Korean)](https://colab.research.google.com/github/indra622/tutorials/blob/master/wav2vec2_korean_tutorial.ipynb)
|
|
|
|
```
|
|
from transformers import Wav2Vec2ForCTC, Wav2Vec2Processor
|
|
from datasets import load_dataset
|
|
import soundfile as sf
|
|
import torch
|
|
from jiwer import wer
|
|
|
|
processor = Wav2Vec2Processor.from_pretrained("kresnik/wav2vec2-large-xlsr-korean")
|
|
|
|
model = Wav2Vec2ForCTC.from_pretrained("kresnik/wav2vec2-large-xlsr-korean").to('cuda')
|
|
|
|
ds = load_dataset("kresnik/zeroth_korean", "clean")
|
|
|
|
test_ds = ds['test']
|
|
|
|
def map_to_array(batch):
|
|
speech, _ = sf.read(batch["file"])
|
|
batch["speech"] = speech
|
|
return batch
|
|
|
|
test_ds = test_ds.map(map_to_array)
|
|
|
|
def map_to_pred(batch):
|
|
inputs = processor(batch["speech"], sampling_rate=16000, return_tensors="pt", padding="longest")
|
|
input_values = inputs.input_values.to("cuda")
|
|
|
|
with torch.no_grad():
|
|
logits = model(input_values).logits
|
|
|
|
predicted_ids = torch.argmax(logits, dim=-1)
|
|
transcription = processor.batch_decode(predicted_ids)
|
|
batch["transcription"] = transcription
|
|
return batch
|
|
|
|
result = test_ds.map(map_to_pred, batched=True, batch_size=16, remove_columns=["speech"])
|
|
|
|
print("WER:", wer(result["text"], result["transcription"]))
|
|
|
|
```
|
|
|
|
### Expected WER: 4.74%
|
|
### Expected CER: 1.78% |