Canto: A speech model built for the real world

原文开头节选

Speech recognition models have become remarkably good at transcribing clean audio recorded under controlled conditions. But real dictation rarely happens under those conditions. Millions of people use Wispr Flow to message friends, write emails, code, and work through ideas at their desks, between meetings, during commutes, and in busy offices. They speak through laptop microphones, earbuds, and headsets, often with other voices, music, or traffic in the background.

Today, the Wispr Advanced Interfaces Lab is introducing Canto, our latest speech model for real-time dictation. On an evaluation of real-world dictations, Canto achieved the lowest word error rate among all the models we tested. We compared Canto with models from Google, OpenAI, AssemblyAI, and Deepgram.

Canto is the first model in a broader research and development program at Wispr Advanced Interfaces Lab. In this post, we share how it performs, how we trained it to handle challenging real-world conditions, and the research already shaping what comes next.

(以上为原文节选,完整内容见下方”原文来源”)

这条动态今日登上 Hacker News 首页(20 赞 / 9 评论,来源 wisprflow.ai)。技术雷达每日自动聚合 AI 工程、后端架构、DevOps 方向的前沿动态;相关工程落地可浏览下方的相关服务与延伸阅读,或直接与我们团队交流。