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Project description
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=m6ynSxycpX0Chinese
: https://www.youtube.com/watch?v=bbQfoRT75oMChinese + English
Android demo: https://www.youtube.com/shorts/S5Owcrb8vzUChinese (with background noise)
Android demo : https://www.youtube.com/shorts/KI1-d-W9uZwChinese
Android demo : https://www.youtube.com/shorts/lpDAG36T1R4Chinese 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/BV1214y177vuChinese + English
Android demo: https://www.bilibili.com/video/BV1Ge411A7XSChinese (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
See also https://github.com/k2-fsa/sherpa
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