You can use sherpa-ncnn for real-time speech recognition (i.e., speech-to-text)
on
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
See also https://github.com/k2-fsa/sherpa
FAQs
Unknown package
We found that sherpa-ncnn demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.
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