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Fangjun Kuang 98ba3218db Fix MFC examples (#268) 1 rok temu
.github 0f8e46db9b support hotwords in C++ (#257) 1 rok temu
android 12d01487a3 Fix crash for Android (#267) 1 rok temu
c-api-examples 401de81194 Add hotwords support to Swift/Go/Python/C#/Kotlin APIs (#260) 1 rok temu
cmake 80888d81c5 Add MFC example (#249) 2 lat temu
dotnet-examples 77c34f3cff Add microphone example for .Net (#248) 2 lat temu
ffmpeg-examples 0ba47330ce FFmpeg: Feed PCM to K2 direclty, without any buffer. (#183) 2 lat temu
go-api-examples 343eab32ab Update sherpa-ncnn-go version (#245) 2 lat temu
ios-swift b4260f7acf Refactor code (#163) 2 lat temu
ios-swiftui f12aac47c3 Add SwiftUI demo project (#175) 2 lat temu
mfc-examples 98ba3218db Fix MFC examples (#268) 1 rok temu
python-api-examples d3ba67e4a9 chinese characters can normal show in console, some (not all) windows systems, sherpa_ncnn.Display() cannot handle the encoding correctly, while python's print works fine. (#214) 2 lat temu
scripts 401de81194 Add hotwords support to Swift/Go/Python/C#/Kotlin APIs (#260) 1 rok temu
sherpa-ncnn 033e936b8b Fix an Android bug. (#265) 1 rok temu
swift-api-examples 401de81194 Add hotwords support to Swift/Go/Python/C#/Kotlin APIs (#260) 1 rok temu
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install-vulkan-macos.md d5dd41a7e2 Support building android app (#37) 2 lat temu
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README.md

Introduction

You can use sherpa-ncnn for real-time speech recognition (i.e., speech-to-text) on

  • Linux
  • macOS
  • Windows
  • Embedded Linux (32-bit arm and 64-bit aarch64)
  • Android
  • etc ...

We support all platforms that ncnn supports.

Everything can be compiled from source with static link. The generated executable depends only on system libraries.

HINT: It does not depend on PyTorch or any other inference frameworks other than ncnn.

Please see the documentation https://k2-fsa.github.io/sherpa/ncnn/index.html for installation and usages, e.g.,

  • How to build an Android app
  • How to download and use pre-trained models

We provide a few YouTube videos for demonstration about real-time speech recognition with sherpa-ncnn using a microphone:

See also https://github.com/k2-fsa/sherpa