Ming-UniAudio: A Revolutionary Framework Unifying Speech Understanding, Generation, and Editing

Introduction Core question this article addresses: How can we build a single model capable of simultaneously handling speech understanding, generation, and editing tasks? Ming-UniAudio achieves this breakthrough through its innovative unified continuous speech tokenizer and end-to-end speech language model, pioneering timestamp-free free-form speech editing that transforms the speech processing landscape. In artificial intelligence, speech processing has long faced fragmentation between understanding, generation, and editing tasks. Traditional approaches either separated speech representations for different tasks or used discrete representations that lost speech details. Ming-UniAudio emerges as the first framework unifying speech understanding, generation, and editing through its core unified continuous speech …