Speech Recognition 语音识别输入
Uses Sherpa-ncnn:
Supported functions
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Supported platforms
x64
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x86
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arm64
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arm32
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riscv64
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Supported programming languages
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It also supports WebAssembly.
Introduction
This repository supports running the following functions locally
Streaming speech-to-text (i.e., real-time speech recognition)
VAD (e.g., silero-vad)
on the following platforms and operating systems:
x86,
x86_64
, 32-bit ARM, 64-bit ARM (arm64, aarch64), RISC-V (riscv64)Linux, macOS, Windows, openKylin
Android, WearOS
iOS
NodeJS
WebAssembly
etc
with the following APIs
C++, C, Python, Go,
C#
Kotlin
JavaScript
Swift
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:
Multilingual (Chinese + English) with endpointing Python demo : https://www.bilibili.com/video/BV1eK411y788/
Android demos
Multilingual (Chinese + English) Android demo 1: https://www.bilibili.com/video/BV1Ge411A7XS
Multilingual (Chinese + English) Android demo 2: https://www.bilibili.com/video/BV1eK411y788/
Chinese (with background noise)
Android demo : https://www.bilibili.com/video/BV1GR4y167fxChinese
Android demo : https://www.bilibili.com/video/BV1744y1Z76HChinese poem with background music
Android demo : https://www.bilibili.com/video/BV1vR4y1k7eo
Links for pre-built Android APKs
Streaming speech recognition
Links for pre-trained models
https://github.com/k2-fsa/sherpa-ncnn/releases/tag/models
Useful links
Documentation: https://k2-fsa.github.io/sherpa/ncnn/
How to reach us
Please see https://k2-fsa.github.io/sherpa/social-groups.html for 新一代 Kaldi 微信交流群 and QQ 交流群.
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