sherpa-ncnn

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.

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.youtube.com/watch?v=m6ynSxycpX0
• Chinese: https://www.youtube.com/watch?v=bbQfoRT75oM
• Chinese + English Android demo: https://www.youtube.com/shorts/S5Owcrb8vzU
• Chinese (with background noise) Android demo : https://www.youtube.com/shorts/KI1-d-W9uZw
• Chinese Android demo : https://www.youtube.com/shorts/lpDAG36T1R4
• Chinese poem with background music Android demo : https://www.youtube.com/shorts/5CJ-r8VNuwo

Note: If you don't have access to YouTube, we provide the links in bilibili below:

• English: https://www.bilibili.com/video/BV1TP411p7dh/
• Chinese: https://www.bilibili.com/video/BV1214y177vu
• Chinese + English Android demo: https://www.bilibili.com/video/BV1Ge411A7XS
• 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