Speculative Decoding for 2x Faster Whisper Inference

The article discusses the introduction of speculative decoding to enhance the Whisper speech recognition model's inference speed, achieving up to 2x faster performance. This technique leverages a two-stage decoding process that predicts multiple hypotheses in parallel, allowing for more efficient processing. This advancement is crucial for practitioners aiming to optimize real-time applications of Whisper, particularly in resource-constrained environments.