使用投機解碼（Speculative Decoding）將 Whisper 推論速度提升 2 倍
Original: Speculative Decoding for 2x Faster Whisper Inference
The Hugging Face official blog introduces how to use "Speculative Decoding" to more than double the inference speed of OpenAI's Whisper…
Hugging Face 介紹了應用於 Whisper 語音識別模型的「投機解碼（Speculative Decoding）」技術。該技術透過一個較小的草稿模型（如 whisper-tiny）快速生成候選文字，再由大模型（如 whisper-large-v3）進行並行驗證。此方法在完全不犧牲辨識準確度的前提下，成功將 Whisper 的推論速度提高整整 2 倍，且已整合至 Transformers 函式庫中。
The Hugging Face official blog introduces how to use "Speculative Decoding" to more than double the inference speed of OpenAI's Whisper speech-to-text model without sacrificing any accuracy.
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