Whisper Small Khmer V2

🚀 whisper-small-khmer-v2

This model is a fine-tuned version of openai/whisper-small, designed for automatic speech recognition and achieving good results on relevant datasets.

🚀 Quick Start

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

✨ Features

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

💻 Usage Examples

Basic Usage

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"])

📄 License

The model is licensed under the Apache-2.0 license.

📚 Documentation

Model Index

• Name: Whisper Small Khmer Spaced - Seanghay Yath
  • Results:
    • Task:
      • Name: Automatic Speech Recognition
      • Type: automatic-speech-recognition
    • Dataset:
      • Name: Google FLEURS
      • Type: google/fleurs
      • Config: km_kh
      • Split: test
    • Metrics:
      • Name: Wer
      • Type: wer
      • Value: 0.6165