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Introducing Canto, our latest speech model for real-time dictation. On our evaluation of 9.8 hours of English Flow dictations from more than 2,300 speakers, Canto achieved a 3.4% word error rate—the lowest among the models we tested. Learn more about Canto from our CSO, Ariya Rastrow:

16,464 Aufrufe • vor 9 Tagen •via X (Twitter)

16 Kommentare

Profilbild von Wispr Flow
Wispr Flowvor 9 Tagen

Learn more about Canto here:

Profilbild von Artem Russakovskii
Artem Russakovskiivor 9 Tagen

Is it already live in Wispr now?

Profilbild von Edward C
Edward Cvor 9 Tagen

y'all can't call bro a wrapper no more

Profilbild von 𝕏 frjps 🇻🇦⚡️ 🐟
𝕏 frjps 🇻🇦⚡️ 🐟vor 8 Tagen

The experience is terrible on the iPhone and absent on the iPad.

Profilbild von Jack Sondag
Jack Sondagvor 8 Tagen

Will this be the new default model used or will users decide?

Profilbild von Harshit Khemani
Harshit Khemanivor 9 Tagen

@Scobleizer chief speech officer 😭⁉️

Profilbild von Yaya Soumah
Yaya Soumahvor 9 Tagen

@Scobleizer So is live or not?

Profilbild von Mac
Macvor 8 Tagen

@Scobleizer @grok how do i select Canto model in wispr flow macos app?

Profilbild von DeDi
DeDivor 8 Tagen

实时听写语音模型把错误率压到3.4%,听写真能替代打字

Profilbild von Shreekumar
Shreekumarvor 9 Tagen

no api for canto ?

Profilbild von Bonny Scotland
Bonny Scotlandvor 8 Tagen

Until Canto can pick up and transcribe Scottish correctly it will still be a terrible model.

Profilbild von Alek
Alekvor 9 Tagen

3.4% WER on 2300 speakers — yep.

Profilbild von Jorge Porras
Jorge Porrasvor 9 Tagen

Esta herramienta es la que más ha estado en mi top 5 de recomendadas por 2 años consecutivos. Háganse un favor y usen wisprflow.

Profilbild von Rimas
Rimasvor 9 Tagen

which models did you test canto against?

Profilbild von Rachit Kumar
Rachit Kumarvor 9 Tagen

those em-dashes @tankots 🙃

Profilbild von Patrick Gantner
Patrick Gantnervor 8 Tagen

Is Canto already avaliable for german language and rolled out to the users??

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Today we're announcing $280M in Series B funding at a $2B valuation, led by our long-time investor and partner, Menlo Ventures. When we announced our Series A last May, most conversations I had about voice began with someone explaining why they doubted it. I don't have those conversations anymore. People tell me instead how much time they save talking instead of typing and what they want us to build next. In a little over a year, voice has gone from something people were questioning to something they rely on, and it happened faster than we expected. That shift is why we've raised a new round of funding. This funding represents a deeper investment in our products, lab, models, and our team. Alongside the funding, we're announcing a preview of our first proprietary speech model, Canto. Canto is a 2B parameter speech model trained for the places people actually talk: loud rooms, windy streets, a toddler in the background, a second language mixed into the first. Models like this will change how we all interact with devices, and Canto is the first in a rapid line of them. Each one will be larger and more capable than the last, and each should improve Flow's dictation in a way you can feel the day it ships. Larger speech models also open the door to the vision we dreamed up 5 years ago: using your voice as the primary way you interact with devices. That still has to be invented. A voice interface people rely on all day, in every app, doesn't exist anywhere yet. It's time for that to change. To Sahaj Garg, our team, and every person who gave Wispr Flow a chance - this one's for you.

Tanay Kothari

615,867 Aufrufe • vor 1 Monat