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---
license: mit
datasets:
- openslr/openslr
- seanghay/km-speech-corpus
- ylacombe/english_dialects
- google/fleurs
language:
- km
- en
metrics:
- wer
base_model:
- openai/whisper-base
new_version: Vira21/Whisper-Base-KhmerV2
pipeline_tag: automatic-speech-recognition
library_name: transformers
---
# Whisper-Base-KhmerV2
This model is a fine-tuned variant of [openai/whisper-base](https://huggingface.co/openai/whisper-base), specifically adapted to enhance performance on diverse datasets. Designed to deliver improved transcription accuracy across multiple languages, including Khmer, it is fine-tuned with a focus on understanding the nuances of non-English languages and dialects.
Explore its capabilities in real-time transcription and multilingual support in the demo space: [Whisper-Base-KhmerV2 Demo](https://huggingface.co/spaces/Vira21/Whisper-Base-KhmerV2).
- **Metrics**:
- **WER (Word Error Rate)**: 0.4529
- **Training Loss**: 0.1012

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