Edit model card

whisper-small-khmer-v2

This model is a fine-tuned version of openai/whisper-small on the openslr, google/fleurs and km-speech-corpus dataset. It achieves the following results on the evaluation set:

  • Loss: 0.26
  • Wer: 0.6165

Model description

This model is fine-tuned with Google FLEURS, OpenSLR (SLR42) and km-speech-corpus dataset.

from transformers import pipeline

pipe = pipeline(
    task="automatic-speech-recognition",
    model="seanghay/whisper-small-khmer-v2",
)

result = pipe("audio.wav",
  generate_kwargs={
    "language":"<|km|>",
    "task":"transcribe"},
    batch_size=16
)

print(result["text"])
Downloads last month
117
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Datasets used to train seanghay/whisper-small-khmer-v2

Spaces using seanghay/whisper-small-khmer-v2 2

Evaluation results