WisprFlow trains its own Canto 1 speech model
The shift from clean-audio benchmarks to messy laptop-mic conditions changes what buyers should demand when evaluating dictation tools. Developers building voice interfaces can borrow Wispr's data-labeling trick of separating genuine mishearings from stylistic rewrites. Enterprise teams comparing transcription vendors get a concrete accuracy figure measured on real usage rather than read-aloud corpora.
