Wispr publishes detailed Canto evaluation methodology and results
2 Sep 17 2:32 PM · 9d ago · 1 article · 2 posts · 3 sources · development 2 of 2
Wispr Advanced Interfaces Lab released a comprehensive technical post explaining Canto's development and performance. The evaluation compared Canto against Google, OpenAI, AssemblyAI, and Deepgram using a 10-hour dataset of real dictations sampled from Wispr Flow users across applications and use cases. On a 3-hour challenge set with noisy audio, low volume, and short utterances, Canto ranked second behind Gemini 3.1 Pro but led all real-time transcription models tested.
“Speech recognition models have become remarkably good at transcribing clean audio recorded under controlled conditions. But real dictation rarely happens under those conditions.”
Wispr Advanced Interfaces Lab, Developer · hn ↗Wispr Advanced Interfaces Lab DeveloperGoogle CompetitorOpenAI CompetitorAssemblyAI CompetitorDeepgram Competitor
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