AI NEWS.cckb-whisper-large
The National Library of Sweden releases a new suite of Whisper models trained on over 50,000 hours of Swedish speech. In evaluations across FLEURS, CommonVoice and NST, our best performing model reduces the Word Error Rate (WER) by an average of 47% compared to OpenAI's `whisper-large-v3`. The performance of smaller Whisper model sizes on Swedish speech has also substantially improved, with `kb-whisper-small` outperforming `openai/whisper-large-v3` (a model six times its size). Table: **Word Error Rate (WER)** comparison between KBLab's Whisper models and the corresponding OpenAI versions. We provide checkpoints in different formats: `Hugging Face`, `whisper.cpp` (GGML), `onnx`, and `ctranslate2` (used in `faster-whisper` and `WhisperX`).
翻訳準備中のため原文を表示しています
The National Library of Sweden releases a new suite of Whisper models trained on over 50,000 hours of Swedish speech. In evaluations across FLEURS, CommonVoice and NST, our best performing model reduces the Word Error Rate (WER) by an average of 47% compared to OpenAI's `whisper-large-v3`. The performance of smaller Whisper model sizes on Swedish speech has also substantially improved, with `kb-whisper-small` outperforming `openai/whisper-large-v3` (a model six times its size). Table: **Word Error Rate (WER)** comparison between KBLab's Whisper models and the corresponding OpenAI versions. We provide checkpoints in different formats: `Hugging Face`, `whisper.cpp` (GGML), `onnx`, and `ctranslate2` (used in `faster-whisper` and `WhisperX`).