29 lines
960 B
Markdown
29 lines
960 B
Markdown
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---
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license: mit
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datasets:
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- openslr/openslr
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- seanghay/km-speech-corpus
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- ylacombe/english_dialects
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- google/fleurs
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language:
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- km
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- en
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metrics:
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- wer
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base_model:
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- openai/whisper-base
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new_version: Vira21/Whisper-Base-KhmerV2
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pipeline_tag: automatic-speech-recognition
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library_name: transformers
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---
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# Whisper-Base-KhmerV2
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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.
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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).
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- **Metrics**:
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- **WER (Word Error Rate)**: 0.4529
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- **Training Loss**: 0.1012
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