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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:
-
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
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