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:

• English: https://www.bilibili.com/video/BV1TP411p7dh/

• Chinese: https://www.bilibili.com/video/BV1214y177vu

• 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

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