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Introducing WhisperKit

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argmax

4,497 subscribers

98,394 次观看 • 2 年前 •via X (Twitter)

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10 条评论

batuhan the fal guy 的头像
batuhan the fal guy2 年前

looks 🔥

murat 🍥 的头像
murat 🍥2 年前

how is this different from whisper.cpp's metal/coreml implementation?

Miguel Piedrafita ✨ 的头像
Miguel Piedrafita ✨2 年前

oooo this is really cool!

Alexandre Berriche 的头像
Alexandre Berriche2 年前

Super cool !

BLENDER SUSHI 🫶 X - 24/7 Blenderian 的头像
BLENDER SUSHI 🫶 X - 24/7 Blenderian2 年前

I tried it so far I like the realtime streaming and translation. I test it while YouTube running on TV and translation works 50-60% some times it's buffering. Can it tend later audio from say running audio app like YouTube or Twitter video?

Tomas Maixner | Neuralbyte 的头像
Tomas Maixner | Neuralbyte2 年前

I have problems without loading

Anton Panasenko 的头像
Anton Panasenko2 年前

Any plan for diarization?

argmax 的头像
argmax2 年前

Yes

Mark Lord 的头像
Mark Lord1 年前

Hi! 👋 Quick qu; is my understanding right that WhisperKit processes live audio in chunks and stitches the transcript together? Or does it keep a run-on KV cache of encoded audio which grows as more audio is streamed in + encoded?

Tony Raha 的头像
Tony Raha2 年前

@osanseviero This is so cool! Can you please add an action in iOS shortcuts app so we can integrate it with other iOS native apps?

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Introducing Real-time Transcription with Speakers! - Step change in accuracy, surpassing top cloud APIs - Faster than real-time on Mac and iPhone - Still under 3 watts when all features are enabled Available in Argmax SDK 2.0 for early access! Benchmarks and details in comments.
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Introducing Real-time Transcription with Speakers! - Step change in accuracy, surpassing top cloud APIs - Faster than real-time on Mac and iPhone - Still under 3 watts when all features are enabled Available in Argmax SDK 2.0 for early access! Benchmarks and details in comments.

argmax

72,819 次观看 • 6 个月前

Introducing Real-time Transcription with Nvidia Parakeet - Same top accuracy as file transcription - Best-in-market 160 ms lips-to-screen latency - 744x more cost-efficient compared to cloud APIs - Available in Argmax Pro SDK starting today! Link in comments
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Introducing Real-time Transcription with Nvidia Parakeet - Same top accuracy as file transcription - Best-in-market 160 ms lips-to-screen latency - 744x more cost-efficient compared to cloud APIs - Available in Argmax Pro SDK starting today! Link in comments

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58,986 次观看 • 10 个月前

Introducing Argmax Local Server Run our state-of-the-art real-time transcription server directly on Mac! 0:31 Feature complete for AI Meeting Notes apps 0:49 Migrate from cloud APIs with 1 line of code 1:05 Fastest speech models with top accuracy 1:31 Other apps do not slow down Available starting today with Python, JavaScript, and Rust clients! Details in comments
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Introducing Argmax Local Server Run our state-of-the-art real-time transcription server directly on Mac! 0:31 Feature complete for AI Meeting Notes apps 0:49 Migrate from cloud APIs with 1 line of code 1:05 Fastest speech models with top accuracy 1:31 Other apps do not slow down Available starting today with Python, JavaScript, and Rust clients! Details in comments

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73,996 次观看 • 2 年前

Real-time Transcription with Speakers is now generally available on iOS and macOS! Details for installing or simply testing Argmax SDK 2 are in the comments.
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WhisperKit Benchmarks are live on Hugging Face! Speech-to-text systems are hard to benchmark holistically given trade-offs across latency, memory, energy efficiency and accuracy. On-device testing makes it doubly challenging. Here is our first version built with Gradio 🧵
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WhisperKit Benchmarks are live on Hugging Face! Speech-to-text systems are hard to benchmark holistically given trade-offs across latency, memory, energy efficiency and accuracy. On-device testing makes it doubly challenging. Here is our first version built with Gradio 🧵

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