使用新一代 Kaldi 与 ncnn 进行实时语音识别和语音活动检测 (VAD),无需互联网连接。支持 iOS、Android、Linux、macOS,
使用新一代 Kaldi 与 ncnn 进行实时语音识别和语音活动检测 (VAD),无需互联网连接。支持 iOS、Android、Linux、macOS,
It also supports WebAssembly.
This repository supports running the following functions locally
on the following platforms and operating systems:
x86_64, 32-bit ARM, 64-bit ARM (arm64, aarch64), RISC-V (riscv64)with the following APIs
C#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.,
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/BV1GR4y167fx
Chinese Android demo : https://www.bilibili.com/video/BV1744y1Z76H
Chinese poem with background music Android demo : https://www.bilibili.com/video/BV1vR4y1k7eo
https://github.com/k2-fsa/sherpa-ncnn/releases/tag/models
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.
暂无开放 Issues,或尚未同步最近议题。