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sherpa-ncnn
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Fangjun Kuang 2e89994fc6 Fix building. (#325) 1 éve
.github 2e89994fc6 Fix building. (#325) 1 éve
android ca9c19facd Add Android WearOS demo (#319) 1 éve
c-api-examples 401de81194 Add hotwords support to Swift/Go/Python/C#/Kotlin APIs (#260) 1 éve
cmake 884ce6d9eb Use tencent/ncnn master. (#320) 1 éve
dotnet-examples 77c34f3cff Add microphone example for .Net (#248) 2 éve
ffmpeg-examples 0ba47330ce FFmpeg: Feed PCM to K2 direclty, without any buffer. (#183) 2 éve
go-api-examples 343eab32ab Update sherpa-ncnn-go version (#245) 2 éve
ios-swift b4260f7acf Refactor code (#163) 2 éve
ios-swiftui f12aac47c3 Add SwiftUI demo project (#175) 2 éve
mfc-examples 98ba3218db Fix MFC examples (#268) 1 éve
nodejs-examples 41ebcfb11b Add WebAssembly + NodeJS example. (#311) 1 éve
python-api-examples 87899c26fe Add Python ASR example with alsa (#324) 1 éve
scripts 2e89994fc6 Fix building. (#325) 1 éve
sherpa-ncnn 2e89994fc6 Fix building. (#325) 1 éve
swift-api-examples 401de81194 Add hotwords support to Swift/Go/Python/C#/Kotlin APIs (#260) 1 éve
toolchains f9a850c725 Support RISC-V (#213) 2 éve
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.gitignore 41ebcfb11b Add WebAssembly + NodeJS example. (#311) 1 éve
CMakeLists.txt 87899c26fe Add Python ASR example with alsa (#324) 1 éve
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README.md 2e78bbf587 Support endpoint detection in Python (#56) 2 éve
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build-riscv64-linux-gnu.sh f9a850c725 Support RISC-V (#213) 2 éve
build-swift-macos.sh da14875cbb Refactor decoding (#132) 2 éve
build-wasm-simd-for-nodejs.sh 41ebcfb11b Add WebAssembly + NodeJS example. (#311) 1 éve
build-wasm-simd.sh 72ea103e9b Add WebAssembly (#300) 1 éve
install-vulkan-macos.md d5dd41a7e2 Support building android app (#37) 2 éve
pack-for-embedded-systems.sh 884ce6d9eb Use tencent/ncnn master. (#320) 1 éve
release.sh 797f1e4243 Release pre-compiled libs for Android and iOS (#181) 2 éve
setup.py df9ae1ff84 Publish to PyPI (#48) 2 éve

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